Tag Archives: Artificial Intelligence

Top Cybersecurity Trends Reshaping Federal Risk Management in 2026

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If you鈥檙e a governance, risk and compliance (GRC) professional on the Federal level feeling overwhelmed by the many recent and constantly changing cybersecurity trends, you鈥檙e not alone. As in many industries, Federal risk management has been all but upended by the rise of artificial intelligence and other major advancements in technology.

As a cybersecurity professional, you might be hesitant to jump on the latest bandwagon in favor of the tried-and-true methods you鈥檙e used to. While caution is always warranted, being overly reluctant to upgrade can hold you back from making beneficial changes to your organization that improve efficiency without compromising data security. In this guide, we鈥檒l review exactly what you need to know about the five most impactful trends in cybersecurity right now, including what you and your team should be doing now to stay a step ahead of the competition as well as bad actors.

Top 5 Trends in Cybersecurity in 2026

To keep cyber threats at bay and prevent data breaches, you need to be aware of the latest changes in the cybersecurity space, including those that offer bad actors more opportunities to get in your way.

1. AI-Powered Monitoring

What it is: Artificial intelligence (AI) using large language models (LLMs) and machine learning (ML) has been the most monumental shift to the GRC landscape in many years. With the help of generative AI programs like ChatGPT, risk professionals can collect and analyze troves of data in a fraction of the time they used to.

How it impacts GRC: Whether or not your organization explicitly allows the use of AI, many employees will have an interest in a tool that promises to cut their workload without compromising on quality. Of course, those promises are often overblown. The truth is that working with the wrong kind of AI can expose your organization to greater risk of errors, compliance issues and data breaches.

How to stay ahead: Avoiding AI altogether will only mean your organization risks falling behind competitors that aren鈥檛 afraid to adapt to the latest technology. Instead of avoiding it, it’s vital to learn how to use AI responsibly.

2. Criminal Use of AI

What it is: GRC professionals and others who safeguard data aren鈥檛 the only people with access to the generative power of AI. Naturally, cybercriminals and other bad actors have as much access to AI as you do. In fact, there are even specific generative AI platforms tailored for criminals, such as FraudGPT.

How it impacts GRC: We probably don鈥檛 need to tell you that more empowered and efficient cybercriminals are an obvious threat to the integrity of your organization鈥檚 data. Any trove of personal or financial data will provide a tantalizing target to such criminals, as risk managers in Federal agencies are well aware.

How to stay ahead: It makes the most sense to fight fire with fire. When used correctly, AI programs excel at analyzing large amounts of data and flagging abnormalities that might indicate the presence of online intruders.

3. Quantum-resistant Encryption

What it is: Encrypted data has a new threat: quantum computing. Put simply, these advanced computers use the principles of quantum mechanics to perform calculations at exponential speed. For now, this technology is expensive and difficult to access, but future advancements might make quantum computing much more widespread .

How it impacts GRC: Quantum computing has the potential to revolutionize problem-solving across the globe, empowering people to better understand our universe and share resources equitably. Unfortunately, well-intentioned people won鈥檛 be the only ones with access to this powerful technology. For GRC leaders, your main concern should be how easy quantum computing makes it to unlock encrypted data.

How to stay ahead: The National Institute of Standards & Technology (NIST) has spent the last eight years developing a set of new standards for encryption that can stand up to the threat of quantum computing, called . Getting familiar with these standards and formulating a plan to implement them is the best way to stay on top of this rapidly advancing technology.

4. Automation Beyond Generative AI

What it is: While recent headlines may make it sound like there is only one type of AI that matters, the newest cybersecurity tools aren鈥檛 limited to what鈥檚 offered by generative AI. Cybersecurity automation doesn鈥檛 rely on written prompts or require constant human monitoring to avoid mistakes. Instead, purpose-built automation can pull live data from your systems and analyze it for patterns without introducing additional third-party risk.

How it impacts GRC: The benefits of automation for cybersecurity professionals are hard to overstate. When used properly, cybersecurity automation can help you and your team eliminate repetitive tasks, detect threats and anomalies more quickly, and kick off pre-programmed incident responses without human intervention.

How to stay ahead: Keep your organization competitive by employing automation that connects to your existing tools and processes, offers no-code options for less tech-savvy team members and incorporates NIST requirements and compliance frameworks.

5. Predictive Analytics in Healthcare GRC

What it is: When it comes to protecting and acting on patient data, any wave of new technology in the cybersecurity market brings with it additional challenges. The rise of AI and other types of automation appeals to healthcare GRC professionals as much as any other risk manager, but these organizations require significantly more caution than needed for compliance in other industries.

How it impacts GRC: As more healthcare organizations adopt automation to streamline workflows, possibilities are expanding for the focus on patient care to shift from reacting to existing concerns to proactively identifying and addressing potential risk factors. While promising, this potential future poses new, complex challenges for healthcare GRC managers looking to avoid exposing sensitive patient data to mistakes, misinterpretation and theft.

How to stay ahead: Fortunately, predictive analytics can also be used to flag potential compliance issues that can lead your organization to fall afoul of regulations like the Health Insurance Portability and Accountability Act (HIPAA) and the General Data Protection Regulation (GDPR).

Stay Informed as Cybersecurity Technology Advances

Feeling more prepared for the next wave of technological advances in GRC? Don鈥檛 get too comfortable. The cybersecurity landscape is always changing, and you鈥檒l need to successfully incorporate these trends to be ready for the next round of changes.

Get the insights into cybersecurity trends you need to stay ahead of the curve:

  • Watch our on-demand webinar 鈥溾
  • Download the free ebook 鈥溾
  • Learn more about how makes the most of AI advancements without exposing your organization to unnecessary risk
  • Looking for cybersecurity partners? today

Building Mission-Driven AI That Lasts: A Federal Agency Roadmap for Success

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A recent Massachusetts Institute of Technology (MIT) revealed that 95% of artificial intelligence (AI) projects fail before they even get started. For Federal agencies managing citizen data, classified information and critical infrastructure, this is not just a learning curve; it is a fundamental breakdown of how AI initiatives are conceived and executed. The disconnect between AI proliferation and AI success stems from a common pattern鈥攁gencies prioritizing tools over outcomes, launching disconnected pilots without enterprise alignment and lacking the governance structures to ensure accountability. The path forward requires a deliberate shift. Starting with mission-driven use cases, building on clean and governed agency data and ensuring sustainable adoption through people-centered strategies.

Mission-Driven Use Case Development First, Technology Second

The fastest way to stall an AI initiative is to start with the technology instead of the mission. Too often, agencies approach AI adoption by asking 鈥渨hat can we do with generative AI (GenAI)?鈥 rather than 鈥渨hat operational problem needs solving?鈥 This approach yields pilots that work in limited scenarios but often fail to scale because the model, data and governance do not translate to enterprise-level needs. Strong AI use cases are not discovered after implementation; they are designed deliberately around mission outcomes and real operational constraints. Agencies should begin by defining a specific challenge or opportunity, whether it is a slow and manual process, resource-intensive workflows or error-prone operations. The critical test is simple: if success would not fundamentally change how the mission operates, it is not the right use case to prioritize.

Identifying stakeholders early is equally essential. Program owners, analysts, operators and leadership must validate whether AI will genuinely help or simply add noise to an already complex technology landscape. Agencies must also be explicit about outcomes鈥攆aster decisions, fewer errors, reduced backlogs, better procurement insights or reclaimed staff time. Without clearly articulated outcomes, measuring success or defining return on investment becomes impossible. A practical prioritization matrix can guide agencies in filtering use cases into four categories:

  • high-impact, high-effort investments for enterprise transformation
  • high-impact, low-effort quick wins ideal for pilots
  • low-impact distractions to avoid entirely
  • interesting but non-urgent projects to defer

By focusing on tightly scoped problems with clear ownership and contained risk, agencies can deliver meaningful pilots that demonstrate real value and build momentum for broader adoption.

Data Foundation and Governance as the Critical Success Factor

Most AI models in use today are generalized Large Language Models (LLMs) trained on public internet data. These models are faster to deploy and have lower upfront costs, making them attractive for proofs of concept. However, they lack understanding of an agency鈥檚 unique mission, culture and decision-making context. For lasting, mission-critical AI, agencies should consider Small Language Models (SLMs) trained on agency-specific data. These models are more energy efficient, operationally reliable and context-aware with fewer mistakes. The challenge lies in fragmented data environments where records are spread across systems, formats and classification levels. This is where records management and data governance professionals become invaluable, helping to locate data and establish controls that transform data from a liability into a strategic asset.

AI learns directly from the data it was trained on and from how humans categorized it through reinforcement learning from human feedback. If the underlying information is disorganized, untagged or incomplete, the model will reproduce those flaws at scale. Properly governed, annotated and categorized data produces outputs that are accurate, explainable and trustworthy. Unstructured data鈥攅mails, PDFs, chat logs, memos, case files鈥攔epresents roughly 80% of all agency information and contains the real story of mission operations. Yet most tools focus on structured data like databases and spreadsheets, missing the valuable context hidden in human-generated content. In-place data management addresses cost and security concerns by training and running models where data already lives, minimizing movement and preserving security boundaries. When Chief Data Officers (CDOs) and Chief AI Officers (CAIOs) collaborate under a shared governance model that includes Chief Information Security Officers (CISOs), Chief Information Officers (CIOs), legal teams and records leaders, innovation becomes both safer and faster because trust and accountability are built from the start.

The AI Failure Crisis and Its Root Causes

Federal AI adoption has accelerated faster than almost any other technology in Government history, yet this growth comes with significant risk. Currently, there is no Federal statute enacted by Congress to regulate AI across sectors, leaving agencies to rely on self-assessments and voluntary guidelines. requires agencies to apply risk management and governance controls to high-impact AI systems, but without uniform standards for measuring impact or frameworks for compliance, agencies struggle to implement meaningful safeguards.

Many AI projects begin in isolation, driven by excitement about new tools or pressure to deliver results quickly, without engaging CIOs, CDOs or records management teams. Solutions may work adequately for limited use cases but lack the foundation to scale because governance, data quality and stakeholder alignment were afterthoughts rather than prerequisites. This pattern creates an explosion of activity with limited longevity, the very definition of a bubble. Experts report that Government is a generation behind industry in AI governance, a concerning gap given the sensitive citizen data, classified information and critical infrastructure at stake. If agencies rush to deploy AI without proper governance, they multiply the surface area for data errors, bias and compliance breakdowns. Expansion without oversight increases exposure rather than capability.

Sustainable Adoption Through People and Partnership

Even well-designed AI initiatives fail without sustained human engagement and vendor commitment. Vendors must remain engaged beyond initial implementation, continuing to train systems, monitor performance, incorporate feedback and deliver updates. If a vendor disappears after the sale, agencies are left without the support needed to refine and sustain their AI investments. This reinforces why starting with genuine use cases matters: when AI addresses tangible operational pain points, users are motivated to engage with and trust the technology.

Training cannot be a one-time orientation. Structured, continuous learning programs ensure that users understand not just the technology, but the workflows and data that feed it. Agencies should design AI for growth from the outset, building in governance controls, planning for scalability and considering reuse potential beyond the initial deployment. This “build once, reuse often” approach delivers efficiency gains and cost savings while making funding approval easier.

In an era where understanding how to learn has become the most essential skill, professionals must remain elastic and curious about topics that may fall outside traditional scopes, whether data governance for operational staff or technical architecture for mission leaders. By prioritizing mission-driven use cases, establishing robust data foundations, implementing governance as an enabler rather than a barrier and investing in people alongside technology, Federal agencies can move beyond experimental pilots to deliver AI that creates lasting, measurable impact.

To explore proven strategies for building mission-driven AI that lasts, watch ZL Technologies’ webinar, “From Noise to Impact: Building Mission-Driven AI in the Agency.”

The Year of Expansion for GenAI in Government

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Generative AI (GenAI) is entering a pivotal new phase in 2026, marked by rapid advances in accuracy, reliability and mainstream integration. In 2025, GenAI became embedded into our everyday lives 鈥 from AI-generated overviews in search engines to classrooms adapting to powerful, readily accessible large language models. At the Federal level, 2025 White House guidance instructs agencies to push forward with AI infrastructure, building secure data centers to support the compute necessary in implementing innovative, American-built AI into our most vital missions.

GenAI鈥檚 unique content generation capabilities can be used to increase efficiency and productivity in our US Government agencies in the form of chatbots, text-to-speech audio generation, AI task managers, coding assistance and other Natural Language Processing (NLP) models. With the rising momentum created by America鈥檚 AI Action Plan and increased budgets for AI in areas such as the Department of War (DoW) and Veteran Affairs (VA), 2026 is the year of expansion for GenAI.

Augmenting Agencies in Task Execution

In Government agencies, GenAI commonly removes routing and repetitive workflows, freeing up users to focus on strategic tasks. GenAI works best in mission-support roles, supplementing human roles by improving written communication, increasing the efficiency of accessing information, enabling program status tracking and more. Personalized learning paths and AI assistants can augment current roles.

There are various use cases for GenAI. Program-specific examples include:

  • Defense
    • The DoW has deployed GenAI.mil 鈥 a secure, bespoke platform that leverages generative AI to enhance efficiency, speed and operational effectiveness in our most critical defense and national security missions.
  • FEMA & NOAA
    • In inclement situations, GenAI has been used to perform tasks like weather [CA1] and disaster prediction and response. Some GenAI models have even been more accurate than traditional deterministic models, suggesting GenAI has a strong use case in research and science.
  • GSA
    • GSI has launched USAi, a secure GenAI evaluation suite that has helped employees draft emails, generate code and summarize documents.
  • The Department of Veterans Affairs
    • GenAI has been used to automate various medical imaging processes to enhance veterans鈥 diagnostic services.
  • Healthcare & Department of Health and Human Services
    • Generative AI has enabled healthcare systems to enhance medical images, generate molecular structures for potential drugs and create realistic patient data for AI training.
    • To support containment of the poliovirus, the Department of Health and Human Services initiated an effort to use GenAI to extract information from publications and identify outbreaks in areas previously thought to be polio-free.

Procurement of GenAI solutions is being simplified and expedited by the Federal Government, increasing agencies鈥 ability to use innovative solutions to solve complex problems. GSA鈥檚 OneGov strategy delivers generative AI to the government by removing a major barrier to AI adoption: cost. Through the OneGov agreements, popular GenAI solutions are available for $1, and agencies are given the opportunity to experiment with AI and see what works best for their specific use cases. This strategy aligns with America鈥檚 broader AI policy framework 鈥 allowing agencies to take advantage of the speed, automation and modernization capabilities provided by AI. 探花视频鈥檚 dedicated OneGov page serves as a centralized resource for determining product availability and identifying procurement pathways.

Federal Guidance for AI Usage

GenAI is already being used successfully in the US Government, and recent Federal guidance cements AI鈥檚 place in Government operations. 2025 executive orders (EO鈥檚), such as 鈥Removing Barriers to American Leadership in Artificial Intelligence鈥 pave the way for increased usage of the technology. See below for an overview of relevant generative AI-focused memos and EO鈥檚 released in the last few months.

Launching the Genesis Mission – November 24, 2025

The Genesis Mission establishes AI at the forefront of scientific and economic growth and calls for an integrated platform to enable AI-automated research and discovery. The next wave of federal AI will prioritize scalable compute orchestration, secure model training environments, hypothesis-testing AI agents, supply-chain rigor, and measurable national return on investment that will be evaluated by acceleration in discovery velocity, compressed innovation cycles, and compounding mission impact – not extended pilots.

Ensuring a National Policy Framework for Artificial Intelligence, December 11, 2025

This EO adds on to previously established framework by ensuring state-by-state regulatory laws do not act as barriers to fast AI adoption, and that ideological bias is not embedded into AI tools used within each state. By creating a unified framework, America will become the winner of the AI race.

M-26-04: Increasing Public Trust in AI Through Unbiased AI Principles, December 11, 2025

In response to Executive Order 14319, OMB released M-26-04 which establishes principles for unbiased AI: that it is truth-seeking, and that it is ideologically neutral. All LLM鈥檚 procured by a government agency must abide by the unbiased AI requirements established in this memo.

Transforming the Defense Innovation Ecosystem to Accelerate Warfighting Advantage, January 9, 2026

This DoW memo formalizes AI as a core warfighting capability across DoW operations and streamlines integration and acceleration of adoption.

War Department鈥檚 AI Acceleration Strategy to Secure American Military AI Dominance, January 11, 2026

The DoW鈥檚 January 2026 memo outlines their AI dominance strategy. It calls for establishing an AI-first warfighting force – echoing earlier EOs and removing barriers that would hinder adopting practical, mission-first AI solutions for DoW. It highlights the previously mentioned GenAI.mil program that provides direct access to leading GenAI solutions for the DoW, enhancing speed and ease of AI adoption.

Department of War鈥檚 Arsenal of Freedom Tour, January 2026

A new 鈥淎I Swat Team,鈥 led by the CDAO, is charged with removing barriers and increasing data sharing to speed up AI deployment. The DoW鈥檚 AI strategy, and the SWAT team enforcing it, shows that their measure of AI success is how fast usable data reaches operational systems. Organizations that improve data access, quality, and interoperability will be able to maintain strategic advantage.

Recent guidance establishes a framework for AI adoption and usage, enabling fast, common-sense deployment to ensure America wins the AI race. While agencies are encouraged to push forward, they must maintain the highest levels of security.

Building the Foundation for Successful Generative AI in Government

As Generative AI moves beyond pilot programs and into operational use, agencies must ensure these systems meet the established requirements for security, reliability and data protection. GenAI is dynamically generating content, so it must be deployed within secure environments where sensitive information remains protected and outputs are grounded in trusted data sources. Federal guidance emphasizes strong governance, secure infrastructure and validation mechanisms to ensure AI-generated outputs remain accurate and mission-relevant. With these controls in place, agencies can scale Generative AI to support mission execution while maintaining full confidence in the integrity of their systems and data.

Current Federal recommendations include utilizing and onboarding:

  • Risk management solutions
  • On-prem and cloud data security
  • Impact Level (IL) 5 and 6 security standards for mission-critical or classified information
  • Air gapping, which physically isolates computer systems and networks to avoid breaches
  • Model Context Protocol (MCP), the universal open standard for connecting AI applications to external systems
  • Zero Trust Architecture (ZTA), the foremost security strategy that verifies the identity of end users as they access the network
  • Data governance for Retrieval-Augmented Generation (RAG), which enables content filtering and identity validation

Agencies are strongly encouraged to draw on guidance from reputable experts, including the National Institute of Science and Technology (NIST), whose AI Risk Management Framework (RMF) offers a proven foundation for responsible adoption. In addition to technical protocols, it is helpful to keep a human in the loop to audit and observe GenAI output, minimizing chatbot errors. Cybersecurity considerations, including data poisoning, data leakage and hallucinations, must be actively monitored to ensure models operate safely and consistently across Government missions.

Keeping security at the forefront is vital for GenAI鈥檚 success in Government. With thoughtful governance and strong safeguards, GenAI can advance agency missions without compromising security. The stakes are high, but so is the opportunity.

As The Trusted IT Solutions Provider for Government鈩, 探花视频 offers a comprehensive portfolio of AI and GenAI solutions designed to meet the unique security, compliance and operational requirements of Federal, State and Local Government agencies. From secure on-premises deployments to cloud-based platforms that meet Impact Level 5 and 6 standards, 探花视频’s technology partners deliver the tools agencies need to implement AI responsibly and effectively.

Visit 探花视频’s AI Solutions portfolio to explore GenAI platforms, risk management frameworks and Zero Trust security solutions that align with Federal guidance and support mission-critical operations.

Explore OneGov offerings available through 探花视频.

Contact 探花视频’s AI team to discuss how GenAI can transform your agency’s workflows while maintaining the highest security standards.

The Top 5 Insights from AFCEA West 2026听

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Naval leaders gathered at Armed Forces Communications and Electronics Association  delivered a clear message: the sea services are undergoing their most significant transformation in decades to meet an increasingly complex threat environment. Admiral Daryl Caudle, Chief of Naval Operations’ (CNO) emphasis on achieving 80% combat surge readiness to the Marine Corps’ accelerated force design modernization, the discussions revealed the Navy and Marine Corps are fundamentally rethinking how they train, equip and fight as an integrated force. 

The conversations that unfolded across multiple panel sessions painted a comprehensive picture of both the challenges facing the sea services and the innovative solutions being implemented to address them, from generating readiness across all domains to resourcing maritime dominance and integrating emerging technologies.  

Here are the five key insights that will guide the future of maritime superiority. 

1. Achieving 80% Combat Surge Readiness Requires Foundational Investment in People and Platforms 

The CNO established 鈥80% combat surge ready鈥 as the target resiliency metric. This threshold is designed to ensure the Navy can execute and provide desired outcomes during relative peace while maintaining capacity to surge when needed. In the panel titled 鈥淕enerating Readiness Across All Domains,鈥 Commander Naval Surface Forces Vice Admiral Brendan McLean spoke with several naval leaders and emphasized that if the fleet struggles now during peacetime operations, the challenges will become insurmountable when conflict begins. 

This combat surge readiness target represents more than a numerical goal; it reflects a fundamental shift in how the Navy approaches fleet generation. The foundry concept places Sailors first, recognizing that the most important weapon system remains the individual Sailor or Marine and their ingenuity, toughness and capabilities. Training must focus on developing mastery and self-sustainment rather than simply checking qualification boxes 鈥 we must train like we鈥檙e going to fight. 

Achieving this readiness level demands addressing critical infrastructure challenges, particularly in maintenance and sustainment. Supply chain effectiveness emerged as another critical factor. Submarine forces, for example, have driven gross effectiveness and net effectiveness metrics up 40% in two years by improving configuration change processes, conducting enhanced audits and working with  to overcome bureaucratic barriers. 

2. Force Design Modernization Accelerates Lethal Capabilities to the Tactical Edge 

Force design represents a fundamental rethinking of Marine formations and employment concepts. The Marine Littoral Regiments (MLR) and Marine Expeditionary Units (MEU) are designed as inherently dispersed, mobile units with lower signatures that complicate adversary targeting. These formations create hard-to-hit postures that enable forces to persist in contested environments, strengthening the entire naval force. 

Force design remains a journey rather than a destination, characterized by continuous learning and adaptation. Marine Corps leaders described how early force design decisions around infantry battalions have evolved through experimentation and wargaming, building resiliency back into formations while incorporating small unmanned aerial systems and other emerging technologies. The ability to operate from austere locations ashore through Expeditionary Advanced Base Operations (EABO) supports Distributed Maritime Operations (DMO) by creating multiple dilemmas for adversaries unsure of where the next threat will emerge. 

3. Information Dominance Powers Decision Advantage in Contested Environments 

Information warfare capabilities and the ability to make decisions faster than adversaries define success in contested maritime operations. As information warfare leaders emphasized, the side that wins is the side able to decide and act fastest, and the commander who generates and maintains tempo puts the adversary on the defensive. The Maritime Operations Center (MOC) emerged as a critical node for generating this decision advantage. With responsibility for battlespace awareness, integrated fires and assured Command and Control (C2), MOCs are evolving beyond traditional command centers to become dynamic fusion centers that leverage multiple sensors, shooters and C2 nodes across all domains.  

Artificial intelligence (AI) is transforming how information flows into operational decisions. Leaders described AI not as a replacement for human judgment, but as a battle partner that curates vast amounts of data and presents options to decision makers. Technology experts such as Alteryx, CrowdStrike, Quantum and RegScale understand that the most valuable contribution of AI to defense will be to help human beings make better, faster and more precise decisions, especially in combat, where decision makers often face overwhelming volumes of conflicting data. 

Building information dominance requires cultural transformation around information sharing. Leaders acknowledged the tension between traditional need-to-know restrictions and the imperative to create truly data-centric environments where information flows seamlessly to support distributed operations. The challenge extends beyond technology to include standards, governance and trust frameworks that enable sharing intelligence and operations synchronization in real time across services, combatant commands and coalition partners. 

4. Distributed Maritime Operations Demands Seamless Blue-Green Integration 

The integration of Navy and Marine Corps forces for DMOs represents the operational approach designed to counter adversary anti-access and area denial strategies in contested environments. As fleet commanders emphasized, this integration creates exponential expansion in capability rather than simple force multiplication. 

One Marine Expeditionary Force’s (MEF) integration with Third Fleet demonstrates how this concept translates to operational reality. The ability to operate small, dispersed and mobile formations from austere locations ashore forces adversaries into complex dilemmas. Additionally, Marine aviation provides critical enabling functions that tie distributed operations together, such as Intelligence, Surveillance and Reconnaissance (ISR), electronic warfare, aviation ground support and more. 

Training infrastructure must evolve to support this level of integration. The Surface and Mine Warfighting Development Center (SMWDC) now conducts Information Warfare Advanced Team Training integrated with Surface Warfare Advanced Tactical Training (SWAT) events, bringing Warfare Tactics Instructors (WTI) together with Strike Warfare teams to refine tactics, techniques and procedures based on operational lessons learned. 

5. Industry Partnership at Speed Accelerates Innovation to Operational Forces 

The Red Sea operations demonstrated how Government, industry and laboratory partnerships operating at unprecedented speed can deliver operational advantage. What previously required a month to analyze engagement data, develop software updates and deploy improvements to ships was compressed to two days.  

Naval leaders issued clear guidance to industry on critical capability gaps. Obsolescence management emerged as a priority challenge, and industry partners who must maintain expertise will be critical. Open architecture and intellectual property access would enable faster adaptation to provide products when and where needed without waiting for single suppliers. 

The newly established Naval Rapid Capabilities Office (NRCO) demonstrates institutional commitment to accelerating innovation. Within three months of establishment, the office has inducted six to seven systems. The process emphasizes demoing and testing rather than lengthy development cycles and getting capabilities into operator hands for evaluation before scaling production. 

探花视频, The Trusted Government IT Solutions Provider鈩 excels at achieving rapid delivery through our partner vendors. We connect naval commands with industry partners specializing in open architecture systems, AI-driven analytics, cybersecurity solutions and emerging technologies that address critical capability gaps. Our established contract vehicles streamline procurement timelines, enabling defense organizations to move from requirement identification to deployment at the speed operations demand to support mission-critical modernization efforts. 

Charting the Course for Maritime Dominance 

AFCEA West 2026 reinforced that sustained maritime dominance requires synchronized progress across people, platforms, concepts and partnerships. The Navy and Marine Corps are not simply acquiring new technologies; they are fundamentally transforming how they organize, train and fight as an integrated naval force prepared for high-end conflict. 

The 80% combat surge readiness target, accelerated force design fielding, information warfare integration, distributed maritime operations and industry collaboration at speed represent interconnected elements of a comprehensive modernization strategy. Success depends on maintaining focus on foundational capabilities, such as trained Sailors and Marines, maintained platforms, resilient networks and proven tactics, while rapidly integrating emerging technologies that provide decision advantage. 

As 探花视频, The Trusted Government IT Solutions Provider鈩, continues supporting defense modernization, the insights from AFCEA West 2026 inform how industry can best partner with the sea services to deliver the capabilities required for maritime superiority in an era of great power competition. 

Explore 探花视频’s Defense Technology portfolio of leading solutions that support naval modernization priorities including AI, cybersecurity, cloud infrastructure and advanced analytics. 

Contact us at (888) 662-2724 or NavyInc@carahsoft.com to discuss how 探花视频’s technology partners can support your mission requirements. 

EHR Integration Emerges as a Top Priority for Healthcare Professionals: What Care Teams Are Saying

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As Healthcare organizations continue to shift to digital documentation, care teams are managing an influx of unorganized and complex sets of patient data, forcing them to reevaluate how effectively their current systems meet evolving digital demands.

Electronic Health Records (EHRs) have been transformative for the Healthcare industry, allowing organizations to shift from paper-based documentation to centralized digital systems that support more consistent workflows, reduce documentation errors and provide timely access to critical patient information.

As Healthcare organizations and patients transition to electronic systems, the integration of modern EHR technology has become essential to sustaining clinical and administrative workflows.

To assess how technology is shaping Healthcare operations, CHIME and 探花视频., The Trusted IT Solutions Provider for the Healthcare Industry鈩, surveyed EHR system users across various care environments, finding that nearly every Healthcare organization in the U.S. uses an EHR system and that many are prioritizing optimizing their EHR investments by integrating modern technologies that strengthen system performance and overall workflows.

Understanding the EHR Landscape Through Survey

In 2009, the U.S. Department of Health and Human Services passed the Health Information Technology for Economic and Clinical Health Act, which encouraged the meaningful adoption of Healthcare technology. The law supported nationwide EHR implementation to reduce documentation errors and streamline clinical and administrative processes. Since then, technology has significantly advanced, leaving many Healthcare organizations with legacy EHR systems.

Key Survey Findings

鈥 36 percent of respondents report satisfaction with their current systems
鈥 44 percent are actively exploring ways to optimize EHR performance
鈥 4 percent are in an active transition to a new system

The survey results indicate that most organizations prefer targeted enhancements rather than complete system replacements. This shift toward incremental improvement highlights a growing need for technologies that can extend the capabilities of existing EHR platforms. This creates a tremendous opportunity for industry partners and healthcare technology to make a real difference for care teams and patients nationwide. 

What Healthcare Organizations Value Most

Healthcare organizations prioritize features that support daily operations and drive user adoption. Survey respondents ranked user experience and workflow productivity as their top considerations, emphasizing that even advanced systems cannot deliver value if clinicians and staff find them difficult to use.

Survey results showed that Healthcare professionals rank customizability (15.4 percent) and training support (15.2 percent) as their highest EHR priorities, followed by AI capabilities at 11.8 percent. Additional priorities included:

  • Customer-facing experience (12.0 percent)
  • Security (9.6 percent)
  • Cost efficiency (9.1 percent)
  • Interoperability (8.5 percent)
  • Easy integration (8.2 percent)
  • User experience (6.3 percent)
  • Workflow productivity (4.0 percent)

While cost and security remain essential requirements, they are no longer the primary factors influencing EHR decisions. Healthcare organizations expect this as standard and are placing greater emphasis on usability and adaptability

Unlocking Potential Through Interoperability

Interoperability emerged as a key priority in the survey, with healthcare organizations seeking ways to integrate new technologies into their existing EHR systems. The ability to share patient data across systems and care settings is essential for improving coordination and supporting timely clinical decisions.

Through 探花视频鈥檚 Healthcare Technology portfolio, partners like Google Cloud, Databricks and Broadcom help organizations integrate modern technology solutions into their existing EHR systems. These solutions enable systems to communicate effectively, supporting secure data exchange, analytics and care coordination without requiring full EHR replacement.

How AI Fits into Today鈥檚 EHR Environments

路         Nearly 80 percent of Healthcare organizations use AI in their EHR systems

路         38.3 percent use natural language processing and dictation tools to reduce documentation workload

路         Robotic process automation and large language models each account for 19.1 percent of use

As Healthcare teams turn to AI to improve efficiency, many organizations are adopting tools that support faster and more accurate clinical documentation. Solutions available through 探花视频鈥檚 AI and Healthcare portfolios help providers streamline note taking and reduce administrative workload. Partners such as Google Cloud and Bamboo Health use natural language processing to capture patient conversations and generate structured clinical notes, cutting documentation time and improving accuracy.

Customization For Administrative Excellence

Modern Healthcare organizations are rejecting one-size-fits-all approaches and instead adopting technology that can be tailored to their specific workflows. The survey found that 30 percent of respondents ranked customizability and training support as top priorities, indicating that successful technology adoption depends on tools that can adjust to each organization鈥檚 operational needs.

Solutions available through partners like VisualVault and Salesforce support administrative efficiency through automation, intuitive interfaces and seamless integrations. These capabilities help reduce manual workloads and allow Healthcare teams to focus more time on patient care.

Security: A Multi-Layered Imperative

Survey results show that 82 percent of Healthcare organizations use third-party cybersecurity or backup solutions in addition to their EHR鈥檚 native protections. This reflects the need for layered security approaches that address a range of threats and operational risks. Organizations can meet these needs through solutions available in 探花视频鈥檚 cybersecurity and Healthcare portfolios.

Industry leading partners like Cohesity, Broadcom and Datadog support Zero Trust architecture and NIST-aligned frameworks that strengthen data protection and recovery capabilities. These solutions integrate with existing EHR environments to provide immutable backups, disaster recovery, continuous monitoring and threat detection.

Additionally, SmartCareTM, platform, also supports security needs through its cloud-based and Software as a Service deployment options, offering a single, web-based system that maintains current security standards and certifications.

Featured Solutions: Innovation in Action

As The Trusted IT Solutions Provider for the Healthcare Industry鈩, 探花视频 offers a robust portfolio of healthcare technology solutions that make positive changes in the quality, safety and effectiveness of healthcare delivery systems. 探花视频 works with a range of Healthcare technology partners that support EHR optimization across clinical and administrative environments.

FusionEHR: Integrated Care Across Specialties

Fusion Health鈥檚 premier EHR, FusionEHR, delivers integrated features ideal for medical, behavioral health, dental and optometry services, while adhering to industry requirements from NCCHC, ACA and PBNDS. The platform offers integrated user experience for customers, supporting configurable workflows and specialty applications that help organizations tailor documentation and clinical processes to their needs.

TechCare GO: Specialized Correctional Healthcare

狈补辫丑肠补谤别鈥檚 TechCare GO extends the TechCare EHR platform into a browser-based tool designed for correctional Healthcare. It supports medication administration and clinical documentation in both connected and offline environments, enabling consistent care in various settings.

探花视频 at Upcoming Healthcare Events

Explore the latest in healthcare cybersecurity at to better understand how organizations are protecting electronic health information across modern EHR environments.

Join industry leaders at to dive into the AI and cybersecurity innovations shaping next-generation EHR optimization and digital health transformation.

Ready To Optimize Your EHR System?

As EHR systems evolve from documentation tools to comprehensive care enablement platforms, organizations that strategically leverage partnerships and integrations will unlock their systems’ full potential, delivering exception, patient coordinated care.

Visit 探花视频鈥檚 Healthcare Technology portfolio to explore EHR solutions and enhancement technologies.

Get in touch with the Healthcare team at 探花视频 to discuss which EHR solution is best for you; or download 探花视频鈥檚 Healthcare Buyer鈥檚 Guide to explore solutions that may align with your operational and clinical needs.

Top 10 AI Events for听Government听in 2026听

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Artificial intelligence (AI) has evolved from experimental technology into a mission-critical capability for Government agencies at all levels. From enhancing cybersecurity operations and streamlining citizen services to enabling predictive analytics and advancing national security objectives, AI is fundamentally reshaping how the Public Sector delivers on its mission. As agencies accelerate AI adoption, understanding the latest developments, best practices and ethical frameworks is essential. 探花视频., The Trusted Government IT Solutions Provider庐, brings deep expertise in AI solutions for the Public Sector, connecting agencies with leading technology providers and proven implementation strategies. Throughout 2026, 探花视频 and our partners will participate in premier AI events designed to help Government professionals navigate the complexities of AI adoption, explore cutting-edge solutions and connect with experts shaping the future of AI. 

 

February 12, 2026 | Washington, D.C. | In-Person Event 

During this Meet the Chiefs discussion, NextGov/FCW will examine how Chief Artificial Intelligence Officers (CAIOs) are putting national AI priorities into action across Government agencies. Speakers will explore how recent policies are shaping governance models, workforce strategies and industry collaboration as AI becomes more deeply embedded in Government operations. The conversation will address the critical balance between innovation and risk management, examining the infrastructure needed to support AI at scale and the trust-building efforts essential for successful AI adoption. Attendees will gain insights into how agencies are translating high-level AI directives into operational reality, with particular focus on data and compute infrastructure requirements for AI at scale. 

Session to look out for: 

  • Laying the Groundwork: Data and Compute Infrastructure for AI at Scale 

探花视频 partner Oracle is the exclusive underwriter for this event, demonstrating the critical role that enterprise AI infrastructure plays in enabling Government AI initiatives. Oracle provides the foundational data platforms, cloud infrastructure and AI services that empower Federal agencies to deploy AI at scale while maintaining security, compliance and data sovereignty. 探花视频’s partnership with Oracle ensures Government agencies have streamlined access to the enterprise AI capabilities discussed at this event, from autonomous databases that power AI workloads to sovereign AI infrastructure designed specifically for Public Sector requirements. 

 

February 26, 2026 | Arlington, VA | In-Person Event 

The Defense IT Summit brings together senior IT leaders to examine how emerging technologies and strategies are advancing mission readiness across the Department of War (DoW). Senior officials will highlight defense priorities in AI, acquisition, cybersecurity and risk management, with particular focus on accelerating technology delivery at the speed of mission. The summit addresses the critical challenge of translating AI innovation into operational capability, exploring how the DoW is transforming acquisition processes, integrating AI into warfighting systems and building the infrastructure needed to support AI-enabled decision-making.  

Session to look out for: 

  • AI Transforming Future Warfighting and The Future of Defense Acquisition 

探花视频 is a proud partner of GovCIO and is excited to support their 2026 Defense IT Summit, bringing together our extensive portfolio of AI and defense IT solutions tailored to DoW requirements. Our partnership with GovCIO enables us to showcase how leading AI providers are addressing the unique challenges of defense IT modernization, from secure AI development environments to edge AI capabilities for tactical operations. 探花视频’s presence at this summit ensures defense IT leaders have direct access to the solution providers who understand DoW’s specific security requirements, acquisition processes and the urgency of deploying AI capabilities that enhance warfighter advantage. 

 

February 24, 2026 | Reston, VA | In-Person Event 

The Applied Government Geo & AI Summit brings together Government leaders, technologists and innovators to explore how AI, geospatial data and advanced engineering tools are reshaping Public Sector operations. Hosted by Woolpert Digital Innovations, Google Public Sector and 探花视频, this summit examines the powerful convergence of AI and geospatial intelligence, from automated image analysis and change detection to predictive modeling for infrastructure planning and emergency response. Attendees will learn how agencies are utilizing AI-powered geospatial capabilities to enhance various aspects, including defense operations, border security, urban planning and environmental monitoring. 

Session to look out for: 

  • AI and Geospatial Data Transformations and AI in Defense, Infrastructure, and Data Management 

探花视频 is proud to co-host this event alongside Google Public Sector and Woolpert Digital Innovations, demonstrating our commitment to advancing the intersection of AI and geospatial technologies for Government missions. As a leading distributor of Google Cloud solutions to the Public Sector, 探花视频 ensures agencies can access the powerful combination of Google’s AI and machine learning (ML) capabilities with advanced geospatial analytics platforms.  

 

March 16-19, 2026 | San Jose, CA | Hybrid Event 

NVIDIA GTC is the premier global AI conference, where developers, researchers and business leaders come together to explore the next wave of AI innovation. From physical AI and AI factories to agentic AI and inference, GTC 2026 will showcase the breakthroughs shaping every industry, including Government and defense. The conference takes place across venues throughout downtown San Jose, featuring hundreds of technical sessions exploring everything from AI infrastructure and accelerated computing to real-world AI deployments. Government attendees will discover how agencies worldwide are leveraging NVIDIA’s AI platforms to power everything from scientific research and weather prediction to autonomous systems and intelligence analysis. 

Sessions to look out for: 

  • AI Talks and Panels 
  • Jensen Huang鈥檚 Keynote Address 
  • Developer Days and Hackathons 

探花视频 is the exclusive host of the Public Sector Reception at GTC on Tuesday, March 17 (tentative), providing Government attendees with a dedicated networking venue designed specifically for Public Sector professionals to connect with peers and solution providers focused on Government AI challenges. 探花视频 is also an exhibitor sponsor of NVIDIA GTC 2026. We encourage you to stop by our booth to learn about AI capabilities within Government and discover how our partnership ecosystem is supporting agencies with NVIDIA-powered solutions.  

 

March 18, 2026 | Location To Be Announced | In-Person Event 

According to AI experts, we are currently experiencing the largest and fastest-moving surge of AI development in history, with more progress occurring in days and months than was achieved over decades in previous AI waves. This sixth annual AI Summit from Potomac Officers Club brings together top voices from Federal agencies, DoW components and the Government contracting industry to discuss strategies, plans and exciting use cases for how AI, ML and automation are transforming Government operations. The age of AI being merely theoretical is over. This summit features real practitioners sharing how they are deploying AI at scale. Don’t miss keynote speaker Jay Meil, the VP of Artificial Intelligence and Data Analytics and Chief Data Scientist at SAIC, along with other senior Government and industry AI leaders. 

探花视频 was proud to be a gold sponsor of the 2025 Artificial Intelligence Summit, along with our partners EmpowerAI, Primer, Oracle, Coursera and Percipient.AI and we look forward to continuing our support of this premier Government AI gathering in 2026. 探花视频 is committed to ensuring that Government decision-makers have direct access to the comprehensive AI solutions portfolio that 探花视频 brings to market, from AI development platforms and MLOps tools to AI governance frameworks and specialized AI applications designed for Public Sector missions. 

 

March 26, 2026 | Reston, VA | In-Person Event 

The Warfighter AI Innovation Summit focuses on cutting-edge AI technologies that enhance forward-deployed warfighter capabilities. This specialized event brings together warfighters with senior leaders, innovators and industry experts, focusing on data fusion, sensors and creating subject matter expert applications across forward-deployed use cases. Designed to foster collaboration across Government, military and industry, this summit equips participants with actionable insights to accelerate AI adoption and translate innovation into operational impact. Sessions will explore AI success on the front lines and how to use AI to achieve operational advantage and battlefield dominance, addressing the unique challenges of deploying AI in contested, disconnected environments. 

Session to look out for: 

  • AI Success on the Front Line and Using AI to Achieve Operational Advantage and Battlefield Dominance 

探花视频 is a proud partner of Federal AI Accelerator.  Our partnership enables us to connect warfighters and defense decision-makers with specialized AI technologies designed for tactical edge operations, from computer vision for threat detection to AI-powered Command and Control (C2) systems. 探花视频 understands that successful warfighter AI requires not just cutting-edge algorithms, but solutions engineered for the reliability, speed and security demands of combat operations, along with acquisition pathways that can deliver these capabilities at the pace of operational need. 

 

April 14, 2026 | Washington, D.C. | In-Person Event 

With the mainstream arrival of large-language, generative AI models, AI has emerged as a top priority for driving economic prosperity and boosting Government efficiency and mission effectiveness. AITalks is where top Government leaders, tech innovators and industry experts converge to explore the transformative potential of AI in the Public Sector, particularly as new priorities establish the nation’s AI vision and direction. With AI set to revolutionize Government operations, the nation is at a critical juncture where it is competing to set the tone for global AI leadership.  

Session to look out for: 

  • Going All In on AI-Powered Government and Advancing AI on the Frontlines 

探花视频 partner Microsoft is a Diamond sponsor at the 2026 AITALKS, reflecting Microsoft’s leadership position in enterprise AI and their commitment to helping Government harness AI capabilities through Azure AI, Microsoft 365 Copilot and industry-specific AI solutions. Previous AITALKS sponsors have included Salesforce, AWS, Elastic, Broadcom, Cloudflare, IBM, Red Hat, Seekr and Nutanix/Pryon, a roster that demonstrates the breadth of 探花视频’s AI partner ecosystem. As a key partner to many of these leading AI providers, 探花视频 ensures Government attendees can explore the full range of AI solutions available through our contracts, from foundational AI infrastructure to specialized applications addressing specific Public Sector use cases. 

 

April 20-27, 2026 | Arlington, VA | Hybrid Event 

The AI Cybersecurity Summit brings together the most critical aspects of AI in cybersecurity, from leveraging AI to strengthen defenses to protecting against sophisticated AI-powered attacks that are already reshaping the threat landscape. This unique event addresses both offensive and defensive dimensions of AI in cybersecurity, exploring how agencies can use AI to enhance threat detection, automate incident response and improve security operations while simultaneously defending against adversaries who are weaponizing AI for attacks. Attendees will connect with cybersecurity professionals, AI/ML experts and thought leaders to exchange insights and advance AI-powered cybersecurity solutions.  

Session to look out for: 

  • AI Governance and Risk, Offensive AI Adversary Tradecraft, and Protecting AI Architectures 

探花视频 partner Microsoft is a sponsor of this critical event in the AI and cybersecurity space, bringing its extensive experience in AI security through Microsoft Defender, Azure AI security capabilities and its responsible AI frameworks. The convergence of AI and cybersecurity represents one of the most pressing challenges facing Government agencies today. Organizations must simultaneously adopt AI to enhance their security posture while defending their own AI systems from attack and ensuring AI is deployed responsibly. 探花视频’s partnership with Microsoft and other leading cybersecurity and AI providers positions us to guide agencies through this complex landscape, offering integrated solutions that address both AI-enhanced security operations and the security of AI systems themselves. 

 

May 3-6, 2026 | Aurora, CO | In-Person Event 

Explore the intersection of technology and security as the geospatial intelligence community (IC) addresses challenges and opportunities in today’s complex geopolitical landscape. From land to sea and cyberspace to outer space, GEOINT’s impact is felt across every dimension and domain. Attendees will engage with industry experts, Government leaders and innovators to discover how geospatial intelligence is shaping a safer world for tomorrow. With AI and ML now central to modern GEOINT capabilities, this year’s symposium places special emphasis on GeoAI, spotlighting current innovations and future opportunities in AI and ML applied to geospatial data, from automated change detection and object recognition to predictive analytics for strategic planning. 

探花视频 is a proud annual sponsor of the GEOINT Symposium and will have a large presence on the tradeshow floor, ensuring maximum visibility throughout this premier geospatial intelligence event. This year, we have also partnered with NVIDIA to host the exhibit hall Scaling AI Stage, a dedicated venue for exploring how Graphics Processing Unit (GPU)-accelerated computing and AI platforms are transforming geospatial intelligence processing, enabling real-time analysis of massive imagery datasets and sophisticated AI models for intelligence applications.  

May 19, 2026 | Reston, VA | In-Person Event 

探花视频 is excited to announce our 3rd Annual Artificial Intelligence for Government Summit. Join Federal, State and Local Government leaders, practitioners and industry experts to explore how AI is transforming missions, services and infrastructure across the Public Sector. From copilots that streamline daily workflows to advanced cybersecurity, responsible AI frameworks and next-generation data strategies, this summit shows practical solutions aligned with the latest administrative orders and policy guidance. Attendees will gain insights from Government decision-makers, engage with hands-on training from leading AI companies and leave with actionable strategies to accelerate innovation while building trust and security in AI adoption.  

Session to look out for: 

  • Advanced Reasoning in the Age of Agentic AI and Innovation and Workforce in the AI Era 

探花视频 is the proud host of the AI for Government Summit, our flagship AI event designed specifically for the unique needs and challenges of Public Sector AI adoption. This year’s sponsors include AWS, Broadcom, Dell, Intel, NVIDIA, OpenAI, Palo Alto Networks, Salesforce and many others. As both the host and convener of this summit, 探花视频 curates an agenda that directly addresses the most pressing questions facing Government AI practitioners: how to move from pilot to production, how to ensure responsible and ethical AI deployment, how to build the data infrastructure and workforce capabilities needed for AI success and how to navigate the complex landscape of AI regulations and policies while maintaining the agility to innovate at mission speed. 

 

August 13, 2026 | Reston, VA | In-Person Event 

The Federal AI Forum dives into the next frontier of AI: agentic AI. Experts from across Government, academia and industry will discuss how autonomous agents and copilots are reshaping workflows and policy in the Public Sector. This forum offers a forward-looking conversation about critical issues in responsible adoption, architecture and practical implementation of agentic AI systems in Federal missions. As AI systems evolve from tools that assist human decision-making to autonomous agents capable of multi-step reasoning and independent action, Government agencies face new questions about governance, accountability and security.  

Session to look out for:  

  • Agentic AI Use Cases and Data Security and Accountability 

探花视频 is proud to be the Anchor Sponsor of the 2026 Federal AI Forum, to help Government agencies navigate the emerging landscape of agentic AI and autonomous systems. This year’s sponsors include Box, ServiceNow, Granicus, Seekr, Latent AI, Stryk.AI and others, partners who are pioneering the development of agentic AI capabilities specifically designed for Government use cases. 

As AI continues to mature from emerging technology into essential infrastructure, Government agencies face both unprecedented opportunities and complex challenges. The events highlighted above represent the best venues for Government professionals to gain practical knowledge, connect with proven solution providers and learn from peers who have successfully navigated AI implementation. Whether you are just beginning to explore AI capabilities or seeking to optimize existing initiatives, these gatherings provide invaluable insights, hands-on experience and strategic guidance from the leaders shaping AI’s future in Government. 

Connect with 探花视频’s AI experts who understand Government requirements, compliance frameworks and proven implementation strategies. Whether you are attending one of these events or planning your AI roadmap, we are here to help.  

Contact us at AITeam@carahsoft.com to discuss your specific AI challenges, schedule a demo or coordinate meetings at upcoming events.  

Explore our AI solutions portfolio to see how we’re helping agencies like yours harness the power of AI to achieve mission success. 

Revolutionizing Road Safety: How Blyncsy Uses AI To Leverage Dashcam Footage

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By accessing over a million commercial dashcams, Blyncsy, a part of Bentley Systems, uses movement intelligence to improve mobility and transportation, uses artificial intelligence (AI) vision to pinpoint roadway issues, extrapolate pain points and alert local officials with the most efficient solution to the problem.

Infrastructure Pain Points

State and Local Governments rely on manual inspections to maintain roadways. These are incredibly expensive, as Light Detection and Ranging (LiDAR) systems cost 200 dollars or more per mile to operate. These fact-finding missions are both labor-intensive and time-consuming.

Information collected to make informed decisions on roadway maintenance is often coming from multiple sources. Fragmented and sometimes outdated data makes informed analysis difficult to obtain. Government officials need to be able to take these data points and interpret their value to suit modern needs, such as the wear of heavier electric vehicles and extreme weather on roadways, the use of autonomous vehicles and population increase in urban areas.

How AI-Vision Works

Blyncsy鈥檚 AI-Vision collects images from commercial dashcams currently on roadways around the country. The journey from raw footage to data analysis takes place in three steps:

  1. Upload and Validate: Images are collected and validated by examining meta details such as direction information, date and time stamps and heading information.
  2. Segment: AI-Vision breaks down the image and groups like objects together.
  3. Mask: Blyncsy highlights the segments that are valuable to the relative Government agency and provides near real-time insights.

Bentley Systems purchases the footage from partnering dashcam providers and makes the data available to State and Local officials that allow them to make informed and cost-effective decisions to improve their infrastructure. Proactive maintenance applications allow agencies to combine disparate data points to demonstrate how they interact with each other. For example, Blyncsy鈥檚 AI-Vision can identify a crosswalk in an image, then analyze the condition of the crosswalk paint and surrounding streetlights. This comprehensive analysis can help agencies quickly determine which intersections are not safe for pedestrians, and subsequently where they should be focusing maintenance efforts.

Blyncsy鈥檚 Capabilities

With the dashcams passively capturing and uploading every detail of the roads their drivers travel, Blyncsy鈥檚 practical applications are as numerous as the elements they capture.

  1. Safety Critical Assets: From guardrail detection and damage to paint line degradation, the AI-Vision can capture and evaluate the extent of the damage, determine whether the damage is severe enough to require immediate repair. Hawaii is the first to utilize this technology state-wide to detect vegetation encroachment and guardrail damage. As a result, the Hawaii Department of Transportation (HIDOT) can prioritize resolving the most critical safety issues.
  2. Roadway Detection: Similarly, AI-Vision can detect roadway conditions, including recognizing potholes and pavement cracking and issuing a Pavement Surface Evaluation and Rating (PASER) score, where ratings can indicate good or poor pavement condition.
  3. Sign Inventory: Blyncsy can identify how each sign it captures is categorized according to their Manual on Uniform Traffic Control Devices (MUTCD) Classification. From there, it can assess damage and even recognize whether a sign is missing. They can also perform Optical Character Recognition (OCR) on signs to read the text.

These are only a few of the numerous ways Blyncsy鈥檚 AI-Vision technology can make roadway and infrastructure maintenance more efficient and cost-effective.

听Watch Blyncsy CEO Mark Pittman discuss the capabilities of AI-Vision and how it can help optimize your infrastructure maintenance systems.

To learn more about Blyncsy (a Bentley company) or Bentley, or to schedule a demo, contact Bentley@carahsoft.com or call (703) 673-3570.

探花视频. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator鈥痜or our vendor partners, including Blyncsy, we deliver鈥solutions鈥痜or Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the 探花视频 Blog to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.

Building a Security Strategy for Agentic AI: A Framework for State and Local Government

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As artificial intelligence (AI) evolves from simple chatbots to autonomous agents capable of making independent decisions, State and Local Government agencies face a fundamental shift in cybersecurity requirements. shows 59% of State and Local Government respondents report already using some form of generative AI (GenAI), with 55% planning to deploy AI agents for employee support within the next two years. Yet this rapid adoption brings unprecedented security challenges. Because AI agents are designed to pursue goals autonomously, even adapting when security measures block their path, Chief Information Security Officers (CISOs) responsible for safeguarding Government networks must rethink traditional defenses and embrace a new security paradigm.

The Emergence of Agentic AI and Its Unique Security Challenges

AI agents represent a significant departure from the GenAI tools many agencies currently use. While traditional Large Language Models (LLMs) respond to prompts and return information such as a support chatbot, AI agents and agentic systems are autonomous software programs that can plan, reflect, use tools, maintain memory and collaborate with other agents to achieve specific goals. These capabilities make them powerful productivity tools, but they also introduce failure modes that conventional software simply does not have. Unlike deterministic systems that crash when something goes wrong, AI agents can fail silently through collusion, context loss or corrupted cognitive states that propagate errors throughout connected systems.  found that single-term tasks had a 62% failure rate, with success rates dropping even further for multi-term scenarios.

When , these systems introduced risky security vulnerabilities 45% of the time. For State and Local agencies handling sensitive citizen data, managing critical infrastructure or supporting public safety operations, these error rates demand careful attention within robust security frameworks designed specifically for autonomous systems.

The New Security Paradigm: From Human-Centric to Agent-Inclusive Workforce Protection

AI agents, the newest coworker, amplify insider threats by combining human-like autonomy with capabilities that exceed human limitations. While employees work within bounded motivation and finite skills, AI agents possess boundless motivation to achieve goals, uncapped skills that continuously improve and infinite willpower, constrained only by computational capacity. They will not simply make a single attempt to access a file, get blocked due to a lack of permissions, get frustrated and go home for the day the way an employee might; they will persistently pursue objectives, potentially finding novel ways around security controls.

This transformation fundamentally changes the attack surface agencies must protect. Data breaches continue to impose significant financial and operational strain across the public sector, with many state and local organizations reporting cumulative annual costs that reach into the millions. AI agents and agentic systems collapse traditional security models by operating as autonomous workforce members who interact with systems, access data and make decisions without direct human oversight. They can be compromised through threats specific to agentic AI, such as goal and intent hijacking, memory poisoning, resource exhaustion or excessive agency that can lead to unauthorized actions, all in pursuit of achieving programmed objectives. For Government agencies managing limited security budgets while protecting essential citizen services, this exponential increase in potential attack vectors demands proactive frameworks rather than reactive responses.

The AEGIS Framework: A Six-Domain Approach to Securing Agentic AI

贵辞谤谤别蝉迟别谤鈥檚 framework provides a comprehensive approach to helping CISOs in securing autonomous AI systems across six critical domains.

Governance, Risk and Compliance (GRC) establish oversight functions and continuous monitoring capabilities. Identity and Access Management (IAM) address the unique challenge of agent identities that combine characteristics of both machine and human identities. Data Security focuses on classifying data appropriately, implementing controls for agent memory and considering data enclaves and anonymization from privacy perspectives.

Application Security evaluates risks across the entire software development lifecycle (SDLC), implements Development, Security and Operations (DevSecOps) best practices, assesses the software supply chain and uses adversarial red team testing to validate safety and security controls. This domain focuses on embedding telemetry that gives security teams visibility into agent behavior and decision making. Threat Management ensures logs are accessible to security operations center analysts, enabling detection of behavioral anomalies and supporting forensic investigations. Zero Trust Architecture (ZTA) principles apply such as implementing network access layer controls for agent workloads, continuous validation of the agent鈥檚 runtime environment and  monitoring of agent to agent communication.

Underlying the framework are three core principles:

  • Least Agency extends least privilege to focus on decisions and actions, ensuring agents have only the minimum set of permissions, capabilities, tools and decision making necessary to complete specific tasks.
  • Continuous Risk Management replaces periodic audits with ongoing evaluation of data, model and agent integrity.
  • Securing Intent requires organizations to understand whether agent actions are malicious or benign, intentional or unintentional, enabling proper investigation when failures occur.

Practical Implementation: Agent Onboarding and Governance

贵辞谤谤别蝉迟别谤鈥檚 鈥淎gent on a Page鈥 concept provides a practical tool for providing structure, consistency and alignment of AI agents to business goals before activation, by outlining each agent鈥檚 owner, core purpose, operational context, knowledge base, specific tasks, functional alignment, tool access and cooperation patterns. This documentation gives business stakeholders clear success criteria, while security teams use it as a threat model and input into 贵辞谤谤别蝉迟别谤鈥檚 AEGIS framework to identify gaps in controls, missing guardrails, vulnerabilities and establish baselines to validate agent behavior against.

Similar to employee onboarding, agents require explicit programming on compliance frameworks, data privacy restrictions, scope of work and organizational norms. They must understand cooperation boundaries, operational context, knowledge sources and collaboration patterns. Agencies already deploying agents may have some of this documentation; those starting should collaborate between business owners and security teams to develop these frameworks.

Building a Secure Foundation for Autonomous AI

State and Local Government agencies stand at a critical inflection point. AI agents promise significant productivity gains across employee support, investigation assistance and first responder capabilities. Yet deploying these autonomous systems without appropriate security frameworks creates unacceptable risks for organizations managing citizen data and essential public services. The AEGIS framework provides a comprehensive approach to securing agentic AI before widespread deployment, enabling agencies to realize benefits while maintaining security postures that citizens expect.

Organizations should begin by reviewing the 贵辞谤谤别蝉迟别谤鈥檚 AEGIS framework to understand how it maps to existing compliance requirements such as NIST AI RMF, the EU AI Act and OWASP Top 10 for LLMs. Forming AI governance committees using AEGIS principles help establish organizational buy-in. Discovery processes identifying which departments are exploring AI agents enable targeted control implementation. Agencies that establish strong foundations now position themselves to adopt autonomous AI confidently and securely.

To explore the complete AEGIS framework and gain deeper insights into securing agentic AI for State and Local Government, watch 探花视频鈥檚 full webinar featuring Forrester, 鈥淔ull Throttle, Firm Control: Build Your Trust Strategy for Agentic AI.鈥

探花视频. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator鈥痜or our vendor partners, including Forrester, we deliver鈥solutions鈥痜or Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the听探花视频 Blog听to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.

Where the Physical Meets the Virtual: How Digital Twins Transform Flood Management

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Roughly 2 billion people globally are at risk of flooding, with that number growing steadily every year. With flooding ranking as the number one most frequent and costly natural disaster, Federal, State and Local Governments must find ways to translate historical and real-time data into predictive models for emergency response. Digital twins powered by Artificial Intelligence (AI) substantially shorten simulation cycles, compare complex variables and precisely estimate future flood scenarios.

Challenges with Traditional Forecast Models

Examining the traditional forecast modeling process uncovers a series of disadvantages that mean an early warning flooding system is not functioning at maximum potential. These flood algorithms often have long modeling and simulation times, and analysts do not have the luxury to run outcomes multiple times to make the model as accurate as possible when it comes to emergency response. As forecasting areas get larger, these models need more time, more compute power and more analysts to run properly.

There are also issues with the data input into traditional forecast models. Analysts have data that is either unreliable or unavailable in the locales necessary to issue an accurate early flood warning. Incorrect data can also be created when outdated models misrepresent geospatial features. When this invalid data cannot be compared with other current or historical data points, the overall quality of the data decreases.

Along with the disadvantages of the traditional models themselves, the nature of flooding itself presents its own unique set of challenges for analysts. Freeform or uncontained water is an incredibly difficult element to measure properly, especially when it is in motion. Additionally, weather forecasts are often microregional. Rainfall can differ drastically between two different areas only hundreds of feet apart, making accurate assessments of rainfall across entire municipalities or counties near impossible.

To address these challenges, analysts examine existing models and determine how emerging technology can complement those frameworks to function in a more proactive manner.

Digital Twins and Flood Management

Predictive models are at the cornerstone of emergency response, and the merging of the physical world with digital information is crucial to outputting accurate information for public servants to utilize in the field. This is achieved through the creation of digital twins, or virtual representations of real-life components and processes. In this case, digital twins of an Area of Interest (AOI), such as a town or a county, can consist of multiple variables that can contribute to different factors in a flood scenario, including elevation, stormwater infrastructure, commercial and residential constructions, precipitation and natural geographic features. The model then forecasts flooding based on real-time and historical data.

To create a digital twin, analysts select a designated AOI and break it down into a gridded matrix. These cells can be as precise as 50 feet by 50 feet, depending on the resolution required for a specific model and the resolution of the available geospatial data. This way, the model can take into account the spatial variation of different geological data elements within the AOI, including infiltration rate and soil type. Relevant data points are often available through the town or county in question, or through the United States Geological Survey (USGS). Once compiled, this information can be processed in a Geographic Information System (GIS) to create a digital twin to be used in flood forecasting.

However, the digital twin can remain static for some time, but can often change based on:

  • Changes in the landscape due to urbanization
  • Structures are built and demolished
  • Coastlines and water levels change

The more data and more current data that is incorporated into the digital twin, the more accurate the flood forecast and the more efficient the emergency response will be.

The Power of the Hybrid Model

As stated previously, one of the major challenges facing public servants concerning flood management is the time it takes to run simulations. AI models, trained on a series of input and output data, dramatically cut down model run times during storm events. Analysts can produce forecasts in seconds or minutes, where prior it may have taken hours or days to produce the underlying hydraulic and hydrologic model. This rapid prediction via model scoring process means that multiple AI models can be run at once that can take uncertainty in multiple parameters into account, reconcile differentiating flooding estimates and produce more accurate estimates.

When AI meets the real-world accuracy of digital twins, Government agencies can quickly and effectively plan for worst-case scenarios in flood emergencies.  These hybrid models can pinpoint areas on a large scale that are susceptible to complex issues during a flood, such as trash accumulation. Subsequently, these models can outline in real-time the cause and effect of decisions made by Government officials. In other words, if officials make infrastructure changes to solve a water challenge in one location, a hybrid model can show if the solution inadvertently created additional challenges elsewhere.

According to experts in the field, collaboration is the key to flood management success. This synergetic approach is echoed in the use of digital twins and AI predictive models. Using historical and real-time data to simulate future events will ultimately allow Government officials to plan and respond to flood scenarios safely and effectively.

Discover how digital twins and accompanying technology can transform flood management by watching SAS鈥檚 webinar 鈥淔rom Sensors to Digital Twins: Real-Time Flood Management with Data & AI鈥.

How Snyk Helps Federal Agencies Prepare for the Genesis Mission Era of AI-Driven Science

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The White House鈥檚 new signals a major shift in how the Federal Government plans to accelerate discovery using AI, national lab computing power and massive scientific datasets. For agencies, this means a new wave of AI-enabled research programs, expanded public-private collaboration and a significant increase in the use of software, data pipelines and cloud resources to drive scientific missions. Along with this opportunity comes a simple truth: AI can only accelerate discovery if the software behind it is secure.

That鈥檚 where Snyk supports agencies鈥攂y enabling developers, researchers and mission teams to build secure software from the start, aligned to and modern Federal cybersecurity expectations.

Why the Genesis Mission introduces new security pressure for agencies

  • More data and more experimentation: Agencies will be unlocking and federating large datasets, many of which were never designed for AI-scale access. This increases exposure risk and requires tighter control over data lineage, permissions and software pipelines.
  • More partners in the loop: National labs, other Federal entities, commercial cloud providers, academia and industry vendors will work together under new shared platforms. That means expanded software supply chains and stricter expectations for transparency and assurance.
  • Faster development cycles: Scientific models, simulations, AI workflows and data-processing pipelines will move at an accelerated pace. Traditional security review processes won鈥檛 be able to keep up.
  • Higher stakes for misconfigurations: AI workloads rely heavily on containers, open source, infrastructure-as-code and cloud services. A single misconfiguration in a pipeline, cluster or library could compromise sensitive scientific work.

Federal agencies need secure-by-default pipelines that can scale with mission speed.

Four ways Snyk supports Federal agencies

1.  Secures software supply chains for AI, HPC and scientific workloads

Snyk gives agencies visibility into all components used in AI and research software鈥攊ncluding libraries, and templates. Snyk helps agencies identify vulnerable or

risky components early, enforce approved library lists, produce SBOMs automatically and meet Federal supply chain expectations (Secure by Design, NIST 800-218, EO 14028, etc.)

2.  Embeds security for CI/CD, model-training and data pipelines

Whether agencies run in cloud environments, HPC clusters or hybrid infrastructures, :

  • GitHub / GitLab / Bitbucket
    • Jenkins, GitHub Actions, CircleCI
    • Container build systems
    • AI/ML workflow orchestration tools

This ensures vulnerabilities, misconfigurations and secrets are caught before software reaches production environments or shared research platforms.

3.  Cloud and container security for AI compute systems

The Genesis Mission relies on secure computing鈥攊ncluding cloud GPUs, containerized workloads, HPC clusters, research VMs and hybrid infrastructure. Snyk helps agencies detect misconfigurations across cloud infrastructure, secure container images powering AI workloads, scan infrastructure-as-code templates before deployment and protect credentials and secrets used in research pipelines.

4.  Practical 鈥渟ecure by design鈥 implementation

Snyk meets developers and researchers inside the tools they already use by providing automated fix recommendations, IDE plug-ins for secure coding, policy enforcement for high-risk components, as well as fast feedback loops that align with Agile R&D teams. This

operationalizes Secure-by-Design in a way that won鈥檛 slow down experiments, model training or rapid prototyping.

Why this matters for Federal missions

The Genesis Mission is accelerating scientific discovery across:

  • Clean energy and grid modernization
    • Fusion and advanced nuclear research
    • Materials science and critical minerals
    • Biotechnology and health research
    • Quantum, semiconductors and microelectronics
    • Climate modeling and Earth science

These domains rely heavily on software, data and compute, and securing those systems is essential for mission success.

Snyk helps agencies build software that is secure by design, fully transparent and aligned with Federal AI safety expectations. With , agencies gain end-to-end protection across code, dependencies, containers and AI pipelines, enabling trustworthy and compliant AI systems that can power the next generation of U.S. Government missions鈥揺xactly what the Genesis Mission requires.

探花视频. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator鈥痜or our vendor partners, including Snyk, we deliver鈥solutions鈥痜or Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the 探花视频 Blog to learn more about the latest trends in Government technology markets and solutions, as well as 探花视频鈥檚 ecosystem of partner thought-leaders.