In today鈥檚 fast-paced digital world, security teams are under immense pressure to defend against a surge in sophisticated cyber threats. Expanding attack surfaces, driven by new technologies, cloud adoption, remote work and interconnected devices, create countless entry points for attackers. Security Operations Centers (SOCs) must evolve by leveraging automation, AI and machine learning (ML) to stay ahead鈥攃utting through the noise, accelerating threat detection and streamlining responses to provide scalable, real-time defense against ever-evolving risks.
Modern SOC Challenges
As cyber threats continue to rise in both frequency and sophistication, SOCs are coping with an overwhelming volume of security incidents. reveals a staggering 44% year-over-year increase in cyberattacks, highlighting the urgent need for stronger, more scalable defenses.
Organizations are no longer operating within clearly defined perimeters. Today鈥檚 digital environments are sprawling and dynamic, spanning on-premises infrastructure, multi-cloud deployments, software as a service (SaaS) platforms, Internet of Things (IoT) devices and a remote workforce. Each layer adds complexity鈥攁nd with it, new vulnerabilities. The expanding attack surface increases not only the number of potential entry points but also the volume of activity that must be monitored.
This leads to : organizations are now generating unprecedented volumes of security data. SOCs are tasked with analyzing vast, continuous streams of telemetry to detect threats in real time but extracting meaningful insights from this flood of data has become increasingly difficult.
While traditional Security Information and Event Management (SIEM) systems remain a core component of enterprise security, they are struggling to keep up. Many SIEM platforms are constrained by schema designs, database capacity and a limit on the number of detection rules that can be ingested.
As a result, SOCs are often forced to make difficult trade-offs, choosing which data to collect and analyze based on storage and processing limitations. This selective approach creates blind spots, potentially allowing critical threats to go undetected. In fact, directly linked to the limitations of legacy SIEM systems, underscoring the need for modernization.
Alert fatigue is compounding the issue. Even well-configured SOCs can generate thousands of alerts daily, overwhelming analysts and increasing the risk of real threats being missed. According to a , 61.37% of security teams report receiving more than 1,000 alerts per day, while 4.29% deal with over 100,000. Alarmingly, 19.74% say the volume is so high they cannot even quantify it.
Beyond the operational strain, cost is another major barrier. A medium-sized organization can produce terabytes of log data every day, and storing and processing this information鈥攅specially at the scale required for comprehensive threat detection鈥攃an cost hundreds of thousands annually. SOC leaders are under constant pressure to strike a balance between broad visibility and tight budget constraints.
In this high-volume, high-velocity environment, traditional manual analysis simply cannot keep up. To close visibility gaps, reduce alert overload and operate efficiently at scale, organizations must adopt intelligent automation. Advanced analytics, ML and AI-driven detection can dramatically reduce noise, prioritize critical alerts and help SOC teams focus on what matters most鈥攔esponding to real threats in real time.
The Role of Automation in SOC
Automation is a key force multiplier for SOC teams, enhancing threat response speed and accuracy. Over the past decade, security orchestration, automation and response (SOAR) solutions have had mixed success. While these solutions streamline workflows and incident response, they require significant maintenance, including scripting, playbook development and continuous security stack integration. The high total cost of ownership often outweighs initial investments, making long-term sustainability a challenge.
To address these limitations, SOCs are adopting telemetry pipelines, which intercept and filter traffic before SIEM processing, ensuring only relevant security data is analyzed. Advanced enrichment reduces redundant data, improving efficiency while lowering cloud storage costs.
Extended detection and response (XDR) solutions are also gaining traction. XDR integrates multiple security layers, correlates alerts locally and reduces reliance on centralized SIEMs. Vendor-specific XDR stacks work best within their own ecosystems but streamline threat detection and response.
Data lakes are becoming essential for long-term threat hunting, enabling analysts to detect subtle, prolonged attacks by retaining historical data for extended periods. This allows analysts to uncover patterns that might otherwise go unnoticed.
As SOC automation evolves toward autonomous SOC models and 鈥淪OCless鈥 SIEM architectures, ML-driven algorithms will handle much of the processing and correlation, facilitating faster threat detection and response. By automating repetitive tasks like log analysis and low-level alert triage, SOC analysts can focus on complex investigations, enhancing security while addressing the skills gap.
Still, that by 2030, 75% of SOC teams will see a decline in core security analysis skills as they grow too reliant on automation and AI. Therefore, deployments aimed at both augmenting human tasks and adding precision and speed to human investigations will be more effective than single-technique AI analytics. Striking the right balance between machine-driven speed and human insight seems like a feasible solution that keeps security teams agile, informed and in control of threats.
Evolving Technologies and Solutions
AI and ML capabilities enhance predictive analytics and threat-hunting capabilities, keeping SOC teams ahead of attackers. , by 2026, advancements like 鈥渁ction transformers鈥 and the continued evolution of will power semi-autonomous platforms that can greatly enhance and support the day-to-day operations of cybersecurity teams.
As cybersecurity AI assistants evolve, they will be used as more sophisticated tools for interactive support and investigation, covering tasks like incident response, risk assessment and code reviews. These tools are expected to boost efficiency and reduce response times, whether in organizations just building their security programs or in mature teams with established processes. These innovations improve threat detection and SOC readiness to withstand modern cyber risks.
Future SOC Operations
Progressive organizations understand the real value of AI/ML-powered SOC technologies that can be reasonably used and shift their focus from single-technique tools to building integrated systems that fuse software, AI and human expertise. Achieving scalable impact means having a clear strategy that targets the most meaningful opportunities.
Additionally, investment in workforce development and upskilling will be essential to bridging the cybersecurity talent gap. Organizations that invest in these areas will elevate their SOC effectiveness, better safeguard critical assets and build a resilient, future-ready cybersecurity posture.
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 SOC Prime we deliver鈥solutions鈥痜or Geospatial, Cybersecurity,聽MultiCloud,聽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.
The International Association of Chiefs of Police (IACP) Technology Conference 2025 is an annual law enforcement conference that hosts public safety professionals and technology thought leaders to discuss new solutions, techniques and trainings to equip the industry for success. With a strong law enforcement portfolio and deep industry ties, 探花视频 offers unmatched insight into the challenges agencies face today.
By bridging the gap between top software providers and law enforcement agencies, 探花视频鈥檚 Law Enforcement Technology Team helps both sworn and civilian personnel streamline operations, enhance decision-making and drive greater efficiency across all aspects of public safety.
探花视频 and over 20 of our vendors, including Cellebrite, Zebra, Saferwatch, Blackberry and Magnet Forensics, attended and ran demos of their solutions across data management and analytics, artificial intelligence (AI), emerging technology, forensics, and device security.
Here are the 5 most relevant themes featured at the IACP Technology Conference 2025.
Integrating Artificial Intelligence into Law Enforcement
At IACP Tech, discussions centered around integrating AI into law enforcement to increase efficiency while balancing transparency and accountability to real-time threats. In the panel 鈥淭ransforming Policing with AI: Efficiency, Accuracy and Ethical Considerations for Report Writing,鈥 panelists underscored how AI can streamline administrative tasks, reduce the time officers spend on documentation and improve the overall accuracy and quality of police reports. Speakers also highlighted that the integration of AI must be accompanied by transparency and accountability. They stressed the importance of clearly disclosing when reports are generated or supported by AI to maintain public trust and uphold ethical standards. In the panel 鈥淐urb Your AI Through Privacy Impact Assessments,鈥 speaker Nora Kurzova, the State Auditor of the State of Utah Office, explored the ethical implications that come with predictive AI in law enforcement. Kurzova drew attention to bias present in predictive tools, stressing the importance of human oversight to correct potential biases. With rigorous evaluations of the decisions that automated systems enact, law enforcement can ensure fairness and a positive impact on communities.
Emerging Technologies in Law Enforcement
For modern criminal investigations, law enforcement faces growing complexity in managing and analyzing mass volumes of digital data. As the volume of data generated by connected devices continues to surge, investigators must adapt software that enables timely and efficient data recovery. Critical evidence can come from a variety of sources, such as Nest cameras, smart rings, thermostats and even gaming consoles. Human augmentation technologies, including smart glasses, brain-computer interfaces and mixed reality devices, were all identified as new frontiers that officers could utilize during investigations. By utilizing unconventional data points as corroborative tools and avenues for new leads, law enforcement can increase its investigative awareness.
Breakthroughs in Digital Forensics
At the panel 鈥淎dvancements in Criminal Investigations: Increasing Solve Rates with Technology,鈥 speaker Ed O鈥機arroll, a retired Major of the Crimes Bureau from the Fairfax County Police Department, emphasized the transformative impact of advanced investigative technologies in resolving challenging criminal cases. Advancements in digital forensics, genetic genealogy and rapid DNA testing have all transcended the abilities of law enforcement, enabling the solving of difficult cases. As IT continues to evolve, law enforcement can utilize strategic partnerships with technology organizations to improve its digital forensics capabilities and reduce backlogs. With recent technological breakthroughs, skilled crime analysts and forensic professionals can maximize their potential through these revolutionary tools.
The Importance of Interoperable Data in Public Safety
Law enforcement depends on thorough and accurate analytics to improve and maintain capabilities. In the panel 鈥淏reaking the Data Chains: Advocating Open and Interoperable Solutions in Public Safety,鈥 speakers explored the evolving role of data in public safety, with a strong emphasis on the importance of interoperability and open standards. Adopting open data standards enables seamless data exchange across systems and jurisdictions. Panelists called for greater vendor transparency and urged public safety agencies to include open data access provisions in their contracts to avoid vendor lock-in. Ultimately, by strengthening data sharing practices, public safety agencies can enhance operational effectiveness and fulfill mission objectives.
Tailored, Interactive Training with Artificial Intelligence
Law enforcement agencies are increasingly utilizing AI and virtual reality technologies to address resource constraints during training. In the panel 鈥淗ow Your Records Management Process Can Work for You鈥擫everaging RMS Functional Standards,鈥 speaker Jeff Smythe discussed a statewide effort to revise curriculum by embedding AI tools into courses. By synthesizing practical data and automation, law enforcement can improve training and service quality.
Examples of this include:
Utilizing real-world body camera footage to create simulated scenarios for training
Collecting best practices to develop AI-powered virtual reality scenarios that feature immediate feedback and debriefing capabilities
Implementing automated virtual reality scenarios to train soft skills, such as employee counseling and community engagement
By simulating realistic, frequent tech-enhanced training, employers can significantly improve officer readiness and skill retention. AI and virtual tools offer scalable solutions to deliver consistent, high-quality training in an evolving public safety environment.
As law enforcement professionals handle sensitive and vital information, the protection of that information and data is essential to carrying out fair and accurate investigations and procedures. Through tailored training, data analytics and AI, law enforcement can improve capabilities and focus resources on protecting civilians.
Technology enables Government agencies to strengthen security, increase efficiency and collaborate across departments. This year at the National Laboratories Information Technology (NLIT) Summit, representatives from the National Laboratories, Government IT decision-makers and industry and vendor partners gathered to discuss recent advancements in IT across the Department of Energy (DOE) labs, featuring panels, interactive sessions and demonstrations focused on emerging, mission-driven technologies. 探花视频 stood alongside its partners, such as Amazon Web Services (AWS), Snowflake and GitLab to support the DOE鈥檚 mission objectives. Together, we deliver secure, compliant solutions that drive innovation鈥攆rom MultiCloud strategies and generative AI to streamlined IT procurement.
Here are the top themes discussed at this year鈥檚 summit.
Artificial Intelligence Exploration
The National Laboratories are at the forefront of advancing artificial intelligence (AI) and High Performance Computing (HPC) to meet critical mission objectives. Several DOE labs are showcasing this commitment through transformative initiatives. At Los Alamos National Laboratory, the establishment of the National Security AI Office and the deployment of the Venado AI supercomputer reflect a strategic focus on embedding AI into national security operations. Sandia National Laboratories is leading innovation with 鈥渧ibe coding,鈥 an AI-assisted development methodology that allows developers to generate code based on described functionality, streamlining the software development process.
To further accelerate AI and HPC capabilities, the National Laboratories are leveraging NVIDIA technologies, including GPU-powered infrastructure and AI toolkits, to support high-throughput data analysis, simulation and machine learning applications. This partnership enables scalable performance and energy-efficient computing tailored to complex scientific workloads.
In response to growing cybersecurity threats, labs are also deploying AI-driven automated response systems to detect and neutralize risks in real time. These combined efforts enhance the DOE鈥檚 cybersecurity posture while reinforcing the National Laboratories鈥 leadership in next-generation computing and AI innovation.
Argo: A New Generative AI Platform
As part of its development, Argo incorporates technologies from OpenAI to support advanced natural language processing and generative tasks. By integrating OpenAI models with internal controls and security protocols, Argonne can deliver high-performing language tools tailored to research and mission needs, without compromising data integrity.
Future enhancements to Argo will include:
Document upload for summarization and analysis
Adjustable response styles that range from creative and exploratory to focused and deterministic
Integration of Argonne-specific knowledge and internal documents for contextualized outputs
Onsite deployment of GPU resources to host fine-tuned and open-source LLMs, enabling operational applications such as translation, code generation and scientific research
Through Argo, Argonne is setting a benchmark for secure, mission-aligned AI deployment across the DOE ecosystem.
An Automated Approach to Cybersecurity聽
emphasized the critical need to embed security at every stage of the software development lifecycle through a DevSecOps approach. In the session 鈥淔rom DevOps to DevSecOps: ASC DSO at Sandia鈥檚 Journey toward Secure Software鈥 Stuart Baxley, a Senior Research & Development Computer Scientist shared how Sandia integrates automated tools and continuous monitoring to enable early threat detection and fast remediation鈥攔educing both risk and cost compared to reactive approaches. Agencies with automation tools, such as GitLab, enable the National Laboratories to manage their unique software development environments.
To enhance cybersecurity posture, Sandia recommends the adoption of key security practices and tools, including. Static Application Security Testing (SAST), and container scanning. Leveraging these capabilities is essential to maintaining resilience in an increasingly complex and dynamic threat environment.
Efficiency Through the Cloud
Lawrence Berkeley National Laboratory has advanced its cloud adoption efforts through the initiative, leveraging Amazon Web Services (AWS) to significantly improve the availability, accessibility and scalability of its data products. This successful deployment offers a strong blueprint for other national laboratories exploring cloud migration.
By transitioning to cloud infrastructure, the lab has unlocked a range of strategic benefits including enhanced collaboration, improved high-performance computing capabilities, robust encryption and data security and accelerated AI-driven research. These advantages position cloud adoption not just as a technical upgrade, but as a critical enabler of research efficiency, data innovation and scientific discovery in today鈥檚 increasingly data-intensive environment.
Managing Diverse Data
As datasets across the National Laboratories continue to grow in size and complexity, effective data management becomes increasingly challenging. advocates for a holistic approach, recognizing that no single tool can address every need. Instead, the focus should be on strengthening data transfer capabilities and adopting integrated strategies to improve overall data mobility and accessibility.
In alignment with federal mandates, laboratories and agencies managing research data must prioritize the following:
Transparency 鈥 ensuring data is accessible to the public to support open research
Up-to-date data management practices 鈥 implementing current tools and processes
Comprehensive audit trails and metadata documentation 鈥 maintaining accountability and traceability
By improving data transfer methods and aligning with these core principles, National Laboratories can enhance collaboration, uphold security standards and maximize the impact of their research.
Through a combination of strong data governance, cloud adoption, AI integration and cybersecurity automation, the National Laboratories remain committed to advancing innovation and IT excellence across the DOE ecosystem.
Through data management, cloud application, AI and cybersecurity automation, the National Laboratories maintain a comprehensive strategy to continually fulfill their mission of advancing IT knowledge and collaboration across the DOE.
The advent of innovative technology and modern learning techniques has opened an array of possibilities for adult and student learning. L&D leaders and educators can customize their training and teaching instruction for employees and students to deliver the best learning experience possible.
With technological advancement, digital learning is no longer confined to static online courses. It has become an interactive and technology-driven space that adapts to the needs of modern learners. With the increasing reliance on digital platforms, it is vital to explore ways to optimize course delivery and improve learner engagement. The focus is no longer just on delivering content but also on making learning more intuitive, practical, and aligned with resolving real-world challenges.
探花视频 recently conducted a webinar in partnership with Harbinger Group, titled 鈥楾he Digital Learning Experience: Top 3 Trends for 2025鈥 featuring industry experts, Alistair Lee, Principal Evangelist at Adobe, Scott Biegel, Principal Solution Consultant at Adobe, and Umesh Kanade, Vice President – Capability Development at Harbinger Group. Hosted by Shannon Teel, Partner Sales Leader at Adobe, this webinar discussed the top three trends in the digital learning space for L&D and education leaders to consider.
Trend 1: AI and Generative AI
AI simulates human intelligence in machines, while GenAI uses algorithms to autonomously create new content. It is reshaping digital learning by delivering learning experiences tailored to individual needs. This ensures learners receive targeted recommendations that align with their goals and preferred learning styles.
GenAI can provide L&D teams and educators as well as adult learners and students with learning recommendations based on previous course work, content consumed by peers, and the delivery modality from previous content selections. By observing the learning patterns and learner behaviors, GenAI can aid trainers and educators in populating forms from a variety of different mediums. For learners, it can help improve learning results and stay engaged with relevant content.
Beyond personalization, is accelerating course development, reducing both time and costs while ensuring high-quality, customized learning experiences at scale. AI-based tools can generate course content, including quizzes, assessments, interactive simulations, and multimedia elements.
Some examples include:
Text
Session outlines
Slide structure or speaker notes
Abstracts or introductions
Quiz questions
Polls or group exercises
Images
Backgrounds for virtual rooms or camera
Whiteboard exercises
Slide imagery
Audio
Lobby music
Sound effects
Announcements
Translations
Video
Localized video
Stringer or lobby content
AI can analyze existing graphics and media assets to maintain a consistent style, ensuring newly generated course content aligns seamlessly. This helps prevent generic outputs and avoids copyright issues while enhancing the overall quality of the learning materials.
Tips to Effectively Generate Content Using AI
Apart from learning content, AI can be leveraged to generate teaching instruction plans and L&D workflows. For example, AI tools can be used to create automated leadership coaching plans and analysis, add clarity to session notes, improve lecture structure, or develop targeted employee training framework.
However, L&D leaders, educators, and instructional designers need to implement the right prompt writing techniques to best use AI for generating digital learning content.
鈥淯se AI to help you with AI. A chatbot can help you create a more effective prompt. You can prompt a chatbot to ask you questions to get a better result. So, instead of just producing a result, tell the chatbot to ask you questions related to the topic you鈥檙e looking for, and it will do so before producing the result. I think you鈥檒l get much better qualitative content out of that,鈥 shared Alistair.
It鈥檚 highly recommended to consider using the 鈥楥ISCO鈥 prompt structure when interacting with AI chatbots for generating digital learning content.
Context: Explain your role and goal
Intent: Describe the intent of your prompt and what you want to achieve
Style: Consider what tone you want to employ
Commands: List out detailed instructions and rules to follow
Outcome: Outline the specific format you want to receive the results in
Educators with special considerations, such as privacy concerns, should consider retrieval augmented generation (RAG) models or retrieval augmented language models (REALM). These models are trained specifically on your content. This way, rather than asking public AI generators, agencies or organizations can utilize RAG and REALM to ensure accuracy and internally guided content.
Agentic AI is another hot trend in digital learning. It improves learning success and drives business outcomes with next-gen learning environments, intelligent tutoring systems, faster content development, custom learning pathways, automated assessment, and AI-driven gamification. To know how to effectively leverage Agentic AI in eLearning, .
Trend 2: Advanced Learning Analytics
Learning is driven by engagement, and therefore, it is vital to ensure learners are listening and are engaged. Advanced learning analytics can help L&D leaders and educators drive engagement and tailor their training and lesson plans.
Traditionally, standard reports only featured data on how much time learners spent in the learning space. Contrastingly, modern digital learning analytics can not only inform L&D teams and educators how long learners were present in the learning space but also how connected they were.
Some key learner engagement indicators include:
Asking questions
Responding to polls
Utilizing chat features
Downloading learning materials
Enabling their microphone
Interacting with emotes
Digital reports can feature data on whether the window was in focus or if the learner was taking notes, chatting, or responding to polls. Each L&D leader or educator should consider how they want to measure engagement to determine the effectiveness of sessions. Indicators of elements that drive interactions can help them optimize and perfect the digital learning experience.
A more engaged learning environment not only enhances knowledge retention but also fosters a stronger connection between learners and instructors, making the experience more interactive and valuable. Engagement is also influenced by the relevance and adaptability of content. When learning materials are updated, personalized, and aligned with learners鈥 goals, engagement improves. If the content is outdated or disconnected from real-world applications, engagement levels may decline, signaling the need for modifications.
L&D teams and educators should consider continuously monitoring and refining digital learning and engagement strategies through advanced learning analytics. This will help them create a learning experience that feels dynamic, relevant, and impactful.
Apart from advanced analytics, adaptive assessment and predictive analytics are the two other key aspects of digital learning data analytics. Here鈥檚 a snapshot of the three types of digital learning data analytics discussed in the webinar:
Trend 3: Hybrid Learning Models
Traditionally, L&D leaders and educators had to consider whether their sessions should be conducted in a synchronous or asynchronous form. With the advent of digital learning, they must now determine whether their learning and training sessions should be conducted in person or virtually, or in hybrid form.
They also need to decide if the sessions must incorporate features such as:
Microlearning
Compliance learning
Collaborative breakouts
Simulations
On-the-job learning
When coming to a decision, it is important to consider the learning objective, and the advantages and weaknesses of each, so learners get the most out of the session. L&D teams and educators should not be afraid to experiment with new modalities, as it may bring out the strength of a session, enhancing the learning experience.
Expanded Modalities in Hybrid Learning
Expanded modalities in hybrid learning are the range of ways in which content is delivered, and learning is experienced, going beyond traditional in-person and online formats. The idea is to enhance flexibility, engagement, and personalization by offering multiple paths for learners to interact with the material, instructors, and peers.
Expanded modalities aim to meet diverse learner needs and preferences while maximizing the strengths of both digital and physical environments. In modern hybrid learning models, this flexibility is key to increasing accessibility, equity, and learner success.
Here are some expanded modalities in hybrid learning:
Parting Thought
With AI, advanced learning analytics, and hybrid learning, the digital learning experience is better than ever. These technologies and models allow L&D leaders and educators to refine their approach, making learning more interactive, responsive, and accessible. They can not only optimize the learning experience but also increase course completion rates, while ensuring learners are well-equipped for the future.
For today鈥檚 workforce, learning isn鈥檛 just about acquiring new knowledge, it鈥檚 about career advancement, staying relevant in their industry, or transitioning to new roles. With smarter learning systems that adapt to individual progress, digital learning helps them build practical skills that directly impact their professional growth.
To learn more about digital learning trends for 2025, watch the webinar, 鈥.鈥To take a deeper dive into Adobe’s eLearning products, contact us to schedule a complimentary one-on-one demonstration today!
State and Local Governments are under growing pressure to make every dollar count. From rising costs to increased demand for services, public procurement teams are being called on to do more 鈥 and to do it faster, more transparently and with measurable results. The good news? Technology is making that easier than ever.
Today, modern procurement platforms equipped with are helping agencies move beyond manual processes and limited visibility. These tools are transforming procurement into a strategic driver of fiscal stewardship, surfacing new opportunities for cost savings and improving how governments source, evaluate and manage supplier relationships.
This is the future of smarter public sector spending 鈥 and it鈥檚 already here.
Procurement as a Strategic Function
Procurement has long played a vital role in public sector operations, but it鈥檚 increasingly viewed as a strategic lever for achieving broader goals 鈥 from cost savings and compliance to supplier diversity and sustainability. However, traditional methods 鈥 including siloed data, spreadsheet tracking and paper-based bid evaluations 鈥 can limit visibility and slow down decision-making.
AI-powered change that dynamic. They offer real-time insights into spending trends, identify duplicate vendors or off-contract purchases and help procurement professionals proactively guide smarter buying decisions 鈥 all within a secure, cloud-based environment.
How AI-Powered Procurement Tools Drive Smarter Spending
AI isn鈥檛 replacing public procurement professionals 鈥 it鈥檚 augmenting their expertise with data they can act on. Here鈥檚 how:
Discover the Best Value, Fast
Procurement platforms allow staff to shop across all approved contracts in one place 鈥 making it easy to compare items, vendors, prices and delivery timelines in seconds. This transparency empowers end users to identify the best value quickly, while staying within approved purchasing channels.
Use AI to Maximize Every Cart
AI-powered savings advisors enhance purchasing by automatically surfacing lower-cost alternatives and identifying cost-saving substitutions based on availability and shipping. Real-time recommendations help ensure that every cart is optimized 鈥 not just for savings, but for delivery speed, quality and compliance.
Compliance Built In, Not Bolted On
From requisition to checkout, compliance is embedded into every step. Platforms can tailor guardrails based on your agency鈥檚 policies, automatically flag off-contract items, enforce justification fields and trigger approval workflows when needed. By reducing friction while maintaining full control, agencies minimize risk without slowing down operations.
Turn Data into Strategy
Interactive dashboards provide procurement teams with visibility into spending patterns, supplier usage and contract performance. Drillable reports help identify high-volume categories, underused contracts or vendor performance issues 鈥 enabling strategic decisions grounded in real-time data. The result: more informed planning, more efficient purchasing and greater accountability.
A Positive Path Forward for Procurement Teams
In today鈥檚 fiscal environment, smart spending isn鈥檛 just about spending less 鈥 it鈥檚 about spending better. AI-powered procurement platforms support that goal by delivering the right data at the right time, helping procurement teams stay focused on value, compliance and mission outcomes.
By adopting these tools 鈥 many of which are available to State and Local Governments through trusted partners like 探花视频 鈥 agencies can reduce cycle times, increase visibility and unlock real savings that benefit their communities.
Conclusion: Empowering Public Procurement Through Insight
Procurement professionals are some of the most resourceful problem-solvers in the Public Sector. With the right technology in place, they鈥檙e better equipped than ever to lead their agencies toward smarter, more strategic spending.
AI-powered platforms aren鈥檛 just a trend 鈥 they鈥檙e a practical, proven way to improve decision-making, increase efficiency and ensure every public dollar is working as hard as possible.
To explore how procurement solutions from Euna Solutions, available through 探花视频, can help your agency maximize value and streamline operations,
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 Euna Solutions 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.
Sea-Air-Space, the premier maritime exposition of the United States, is an educational hub for defense industry leaders, Government leaders and top military decision-makers to network and discuss the latest insights and advancements in the maritime and space domains.鈥
Joined by over 40 of our technology partners, 探花视频 showcased solutions on cybersecurity, cloud computing, artificial intelligence (AI) and more at Sea-Air-Space 2025, providing customers the opportunity to engage with and explore technologies designed to enhance the efficiency of mission objectives.鈥
This year鈥檚 conference featured six key themes for attendees to explore.
1. Integrating Artificial Intelligence into Maritime Missions
The efficiency of AI enhances the speed and accuracy of decision-making, providing real-time insights for Sea Service personnel. Integrating AI and other autonomous systems into military operations can satisfy the critical need for close collaboration between the technology industry and the defense sector. Speakers at Sea-Air-Space discussed the importance of finding practical applications of AI, machine learning (ML) and automation across warfighting, business processes, logistics and readiness.鈥
Major General of the United States Marine Corps, Matthew Glavy, spoke about the Marine Corps鈥 strategic use of AI. Presently, there is a “campaign of learning” aimed at aligning training and acquisition with AI capabilities. One goal is integrating algorithm management and scalability into AI training. Another is finding AI that functions in harsh maritime environments to improve warfighter鈥檚 abilities. Speakers stressed that AI is not just a tool for the future, but a present-day necessity that enables the Sea Services to significantly enhance the effectiveness, precision and longevity of their platforms and operations. With AI鈥檚 ability to detect and respond to cyber threats, the nation can better maintain its strategic defense edge.鈥
2. Preparing Data for Mission Readiness鈥
Currently available technology, assets and resources can be used to prepare data for future missions. As data can be used to enhance awareness amongst combat environments, sourcing data from diverse sources is vital to developing logistics systems for operations.鈥
Autonomous systems can be used to collect and translate data into actionable insights, enabling the Sea Services to improve operational readiness, extend lethality and respond swiftly at the tactical edge. The usability of data is just as important as having a diverse source.鈥
Technology with visualization tools, such as user-friendly dashboards, make data more accessible and predictive. This readability enables forces to anticipate failures, identify vulnerabilities and make data-driven decisions that impact mission readiness, ensuring personnel are equipped to outpace evolving threats.鈥
3. Maintenance for Operational Readiness鈥
Readiness is critical to maintaining a competitive edge. The United States Navy鈥檚 aims to achieve and sustain 80 percent combat surge ready posture for ships, submarines and aircraft by 2027. To accomplish this, platforms must be maintained and enhanced with the newest technology to ensure they are up-to-date and at their best capacity. Novel approaches to training, manning, and sustainment can all improve force readiness.鈥
In the session 鈥淩eady Our Platforms,鈥 panelists discussed tips on the path to maintain pace with this goal.鈥
Sea Service personnel should:鈥
Engage with maintenance initiatives to strengthen planning, execution and partnerships to improve on-time delivery鈥
Take boats out of public shipyards in a timely fashion to ensure combat readiness鈥
Invest in original equipment manufacturing for maintenance work and quality assurance鈥
Review and update the Navy’s acquisition strategy to better acquire services for systems with diminishing subject matter expertise鈥
Increase the number of structural engineers embedded with maintenance teams to enable faster technical resolution of issues鈥
Create a dedicated force to focus on material ordering and provisioning for major maintenance efforts鈥
By embracing a proactive approach to training, manning, modernization and sustainment, the U.S. Navy can ready and bolster its force to improve combat readiness.鈥
4. Enhancing Security Through Space Systems鈥
To maintain its competitive edge, the Sea Services must strategically utilize all available assets, including space. In the session 鈥淭he Critical Role of Industrial Space Assets in Maritime Security,鈥 speaker John Hill, the assistant Secretary of Defense for Space Policy and the Deputy Assistant Secretary of Defense for Space and Missile Defense (PTDO) at the Department of Defense (DoD), discussed the five foundational space mission areas: generating, processing, storing, transporting and protecting data. By aligning mission objectives across the Space Force, Space Command and other relevant forces, the Sea Services can maintain pace with industry goals. Affordable, proliferated space systems and high-value technology can enhance maritime security by providing resilience and durability against emerging threats. By taking a proactive approach to innovation, the defense sector can leverage industry momentum and accelerate capability development.鈥
5. Innovation With Enterprise Solutions
To support innovation and experimentation, the Sea Services aim to move from traditional procurement models towards modern, iterative approaches that empower operational commands and developers to co-create solutions in real time.鈥
The key strategies in this shift include:鈥
Using agile methodologies and continuous delivery pipelines鈥
Giving operational teams authority to drive mission-specific solutions鈥
Building open, modular systems with interoperability standards that allow for adaptable integration that maintains pace with threats and mission priorities鈥
Involving end users throughout the process, ensuring that the burden of integration at scale does not fall to combatants鈥
Providing consistent funding that supports innovation and experimentation鈥
Fostering a culture that accepts measured risk and supports transformation
By decentralizing development and giving operational teams the authority to drive mission-specific solutions, the Navy aims to collapse development timelines, remove bureaucratic friction and deliver high-impact capabilities faster. The initiative provides persistent, mission-aligned funding streams that support innovation and experimentation without excessive risk aversion, creating pathways for scalable solutions at the pace of technological advancement.鈥
6. A Dive into Maritime Initiatives with Francis Rose
A explores the critical convergence of maritime security, technology and strategy in today’s evolving global environment. An interview with Vice Admiral Andrew Tiongson, Commander of the U.S. Coast Guard Pacific Area, discussed how the Sea Services have increased presence and coordination along the West Coast to counter maritime border incursions. Melissa Carson, Vice President and General Manager at Iron Mountain Government Solutions, highlights the critical need for structured data governance to enable effective AI-driven defense operations. Dr. Abbie Tingstad, Research Professor at the U.S. Coast Guard Academy, underscores the strategic importance of maintaining multi-domain presence in the Arctic through international partnerships, as environmental shifts and great power competition reshape polar governance. These insights collectively demonstrate how technological modernization, AI literacy, data readiness and strategic partnerships are essential for securing maritime domains against complex threats.
Reliable, adaptable and verifiable technology enables the Sea Services to fulfill mission objectives. By leveraging today鈥檚 technologies to meet resource needs, extend the lifecycle of critical assets and enhance mission readiness, the Sea Services continue to outpace evolving threats and uphold its promise to protect the nation.鈥
To learn more about innovations amongst the Sea Services, visit 探花视频鈥檚 defense portfolio to explore solutions showcased at Sea-Air-Space. For additional research into the key takeaways that industry and Government leaders presented at Sea-Air-Space, view 探花视频鈥檚 of key sessions from the tradeshow.
State and local government teams are under pressure to do more with less. They鈥檙e facing rising demands for digital services, growing cybersecurity threats, and shrinking budgets鈥攂ut outdated systems slow them down. Siloed tools, manual processes, and limited visibility make it harder to serve communities efficiently.
So how can government teams move faster, work smarter, and improve service delivery?
From silos to seamless collaboration
Many government agencies rely on a patchwork of disconnected tools, legacy systems, and manual workflows to manage critical operations. While these systems may have worked in the past, a lack of modernization and cohesive results leads to wasted time, security risks, and high costs.
Agencies need more than just tools鈥攖hey need a modern, connected way to work. By modernizing workflows and adopting agile, automated processes, they can:
Deliver services faster with fewer bottlenecks
Boost collaboration across IT, operations, and mission teams
Improve transparency with real-time project tracking
Make smarter decisions with AI-powered insights
How agencies are driving change
Government agencies are moving away from outdated, disconnected systems and adopting modern, integrated workflows to improve efficiency and service delivery. By leveraging automation, cloud-based collaboration, and agile project management, they鈥檙e breaking down silos, delivering better citizen services, and increasing productivity.
The California Department of Health Care Services saved $2.2M on one project alone using Atlassian and improved delivery time by 66% with Cloud Enterprise. Read more about how they saved millions.
The State of Utah upgraded to Jira Software and Confluence Cloud, seeing more than 90% faster change reviews after cloud migration and completed migration 2.5 years ahead of schedule. Read more about their cost and time savings.
State and local agencies can apply these same principles to streamline processes, cut costs, and improve citizen services.
Start small, scale fast
Transforming government workflows doesn鈥檛 have to be overwhelming. Agencies can start with small, strategic changes that drive immediate impact and scale over time.
Identify bottlenecks. Where are delays slowing things down?
Automate repetitive tasks. Free teams for high-impact work.
Connect teams. Break down silos with transparent workflows.
Government agencies don鈥檛 need more tools鈥攖hey need a smarter, integrated approach to getting work done.
Connecting cloud solutions across an agency with Atlassian鈥檚 System of Work
Government teams鈥攆rom California鈥檚 Department of Health Care Services to the State of Utah鈥攁re accelerating modernization by adopting multiple Atlassian cloud products across their agencies. These solutions aren鈥檛 just integrated鈥攖hey鈥檙e connected in a way that creates a shared foundation for how work gets done. That foundation is Atlassian鈥檚 System of Work.
Built on the Atlassian Cloud, this System of Work connects tools, teams, and data to provide a unified context across programs and mission goals. It enables agencies to plan, track, and scale work more effectively, creating the clarity and collaboration needed to deliver better outcomes, faster.
Here鈥檚 how the Atlassian Cloud System of Work helps agencies work smarter鈥攖ogether:
Align work to goals. Ensuring every task and project is directly connected to strategic objectives enhances visibility and accountability across teams.
Plan and track work collaboratively. Utilizing tools like Jira enables teams to plan, track, and manage work collectively, fostering transparency and coordination.
Harness collective knowledge. Platforms like Confluence facilitate the sharing and organization of information, breaking down silos and promoting informed decision-making.
By adopting Atlassian’s System of Work, agencies can transition from fragmented processes to integrated workflows. With more clarity and collaboration, teams can move faster, collaborate better, and deliver exceptional services.
Ready to cut through the complexity? Learn more about Atlassian鈥檚 cloud solutions and join our April 15th webinar:
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 Atlassian, 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.
Are you ready to explore the future of AI-powered CRM and connect with industry leaders? Join 探花视频 at the Agentforce World Tour D.C. on March 19 at the Walter E. Washington Convention Center! At this year鈥檚 event, experience exciting and informative demos, expert-led sessions and innovative speakers informing on the latest industry trends and products available. Explore virtual, hands-on trainings to learn how Salesforce can support your organization鈥檚 productivity and delivering modernized solutions.
Why Attend?
As a proud Groundbreaker sponsor, 探花视频 is excited to showcase how we are helping Public Sector organizations leverage Salesforce’s innovative solutions. Visit our booth #102 in the Campground (exhibit hall) to gain insights on:
How AI is revolutionizing government service delivery
Success stories from federal agencies leveraging Salesforce
Ways to maximize your existing Salesforce investments
Featured Government Sessions
Do not miss these insightful sessions focused on Public Sector innovation:
AI for Government: Responsible Implementation Strategies
FedRAMP and Compliance: Navigating Security in the Cloud
Digital Service Transformation: Agency Success Stories
Meet Our Leadership Team
Connect in person with 探花视频’s onsite Salesforce leadership team members:
Bethany Blackwell, Kate McDonald, Victoria Ritter, Tyler Miller, Stephen Dickerson, Allison Mackin, Brian Mays, Kathryn Rodriguez, Terra Fawley, Kelsey Hall, Giovanni Rodriguez, Laura Howton, Sebastian Pagliarello and Tayo Akinduro.
The #1 Networking Event: Public Sector Reception
Continue the conversation at the anticipated after-party of Agentforce World Tour D.C.!
Details:
Date: March 19
Location: Planet Word Museum, Washington, D.C.
Time: 5:00 PM – 8:00 PM
Register: Reach out to your 探花视频 representative for more information!
Join Government leaders, Salesforce experts and industry partners at our annual reception that brings together the entire Public Sector Salesforce ecosystem for an evening of networking and collaboration.
Event Sponsors
We thank our reception sponsors who make this premier networking event possible:
The Agentforce World Tour is coming to a city near you! Contact Salesforcemarketing@carahsoft.com to learn how we can partner at upcoming events:
April 14: Denver
April 24: Minneapolis
May 21: NYC
June 26: Boston
October 14-16: San Francisco at Dreamforce
Additionally, join us one of our collaborative Innovation Days events featuring Salesforce, tailored specifically for State, Local and Education agencies within the Public Sector. Check out the full line up of cities and dates coming up soon!
With the rise of AI in business, agencies and organizations must ensure they are modernizing to utilize the unlimited potential of AI in the Public Sector. Whether you are new to Salesforce or familiar with all Agentforce World Tour has to offer, join us to engage in a full day of innovation and pursuing the advantages AI and other technologies.
and secure your spot at Agentforce World Tour D.C. to learn more about how Salesforce can help your agency modernize and improve efficiency!
At the Healthcare Information and Management Systems Society (HIMSS) Global Health Conference and Exhibition 2025, health IT professionals, healthcare personnel and Government leaders joined to connect on the latest trends in the healthcare industry. As a provider and distributor of health IT solutions, 探花视频 and its partners are equipped to communicate recent trends and connect care providers, agencies and companies with the technology they need to embrace the future of healthcare.
Here are the top 5 insights for the technology industry and Government from this year鈥檚 conference.鈥
1. Utilizing Artificial Intelligence in Healthcare
Healthcare must ensure all provided tools are safe, effective and ethical to ensure the best outcomes for patients. As the widespread adoption of artificial intelligence in the healthcare industry is relatively new, providers and public health officials should employ risk management practices, strong governance and transparency with their usage of the tool.
Providers should employ best practices for AI usage:
Understand AI鈥檚 risk profile
Ensure that data is representative of patients
Address potential biases
With continuous monitoring, providers can mitigate any potential model drifts and gain better oversight of the dynamic nature of AI systems. By highlighting the areas of risk, the healthcare system can make informed decisions on which tools, solutions and personnel to deploy to mitigate risk.
There are many opportunities for AI in Healthcare. In the session 鈥淗L鈥檚 Ride on the AI Train,鈥 the Chief Executive Officer of HL7 International, Charles Jaffe, discussed how AI can enable healthcare providers to promote interoperability. AI can also help providers address industry concerns, such as data provenance and data lineage. In the session 鈥淪haping the Future of healthcare: A Collaborative Care Journey Where Technology and Humanity Coexist,鈥 speakers Seung Woo Park and Meong Hi Son, respectively the President and Chief Medical Information Officer and Associate Professor at Samsung Medical Center (SMC), mentioned that SMC reduced the nurse turnover rate from 9.3% to 5.9% by assisting their workflow with AI and automation. In the session 鈥淒isruptive Technologies: Examining the Challenges and Opportunities of Cyber, AI and Beyond,鈥 the Former Commander and U.S. Cyber Command and Former Director at the National Security Agency, Paul Nakasone, noted that AI-driven behavior changes could transform healthcare and prevent chronic diseases. Using AI to get suggestions on sleep, meditation, diet and stress management can all help in between doctor visits to chip away at chronic diseases. Through the collaboration of providers and technology, service in healthcare can be reshaped for the better, providing a gateway into personal medicine.
2. Improving Healthcare Quality through Interoperability
Another point of discussion at HIMSS was the role of digital technology and standards in improving healthcare quality. The National Committee for Quality Assurance (NCQA) has several initiatives, such as the Healthcare Effectiveness Data and Information Set (HEDIS) Fast Healthcare Interoperability Resources (FHIR) data model and the Bulk FHIR Quality Coalition, aimed at enhancing digital quality measurement by enabling end-to-end FHIR data exchanges. Quality measurement has evolved, and standardized clinical data helps accelerate that evolution. With modern computing platforms and technologies, such as Bulk FHIR, healthcare institutions can utilize real-time, continuous data processing, improving data encryption, data security and quality measurement. With comprehensive and timely data sharing among healthcare stakeholders, patients can get results from labs and pharmacies quicker, and can share their data across different healthcare offices, improving the affordability and quality of services.
3. Addressing Veteran Needs in Collaboration with CMS
On average, patients have their medical data located at 5.6 different locations, making interoperability, the ability of information to be exchanged between different health systems or technology systems, instrumental in helping patients and providers alike to improve the healthcare experience.
In the session 鈥淎 Discussion: Transforming Care Through Interoperability,鈥 members of the Department of Veteran Affairs (VA) and University of Oklahoma discussed the benefits of interoperability for veterans. Data sharing between the VA and the Center for Medicare and Medicaid Services (CMS) can address healthcare challenges, such as dementia, suicidal ideation, traumatic brain injury (TBI) and oncology by enabling the two agencies to collaborate to achieve actionable approaches for real-world cases. For example, improving care coordination, optimizing resource utilization and driving better outcomes for veterans and other patients.
Data sharing and collaboration is key to achieving efficient and effective healthcare delivery in the modernized health data infrastructure. In modernizing the infrastructure of the healthcare industry through interoperability, providers and patients can alleviate the work burden and work towards finding solutions at an expedited and swifter rate. The need for remote patient monitoring tools (RPM) is key to assist physicians and clinicians with increased data collection to support real-time treatment of these chronic illnesses for our veterans.
4. Leveraging Data to Improve Service
Digital health increases the speed of learning, helps patients and providers overcome health inequity and increases the effectiveness of virtual care. In the session 鈥淐ase Study: Missouri鈥檚 Mission to Transform Digital Health,鈥 speakers Joshua Wymer, the Chief Health Information and Data Strategy Officer of the Missouri Department of Health and Senior Services (DHSS), and Natasha Ramontal, the Digital Health Strategist in Community Outcomes for HIMSS, discussed the DHSS鈥 journey to transform digital health. To address the needs of businesses, HIMSS and the DHSS teamed up, eliminating duplicate data sets, reducing volumes of data entry and improving regulatory oversight. Through their collaboration in improving the handling of data, the Missouri Department of Health and Senior Services became the first state level organization to successfully implement HIMSS鈥 Digital Health Indicator model.
5. Bolstering Cybersecurity Mitigation with OCR and HIPAA
In the session 鈥淧reparing for OCR鈥檚 Revived HIPAA Security Audits,鈥 speaker Nadia Faheem Coster, the Executive Vice President of Permit Intelligence Services, discussed the Department of Health and Human Services鈥 Office of Civil Rights (OCR) 2025 audit program, which applies to fifty entities and business associates. The audit focuses on decreasing hacking and ransomware attacks.
To combat bad actors, Coster recommends:
Maintaining a risk management plan
Conducting annual secure risk assessments
Ensuring all policies and procedures are up to date
Coster also emphasized the need for segmentation and asset inventory under the proposed Health Insurance Portability and Accountability Act (HIPAA) Security 2.0 rule. All related health systems and the IT industry should ensure their software and hardware are compliant under the proposed ruling. System resiliency is the gold standard for health systems looking to comply with the HIPAA Security 2.0 ruling.
Data sharing, cybersecurity awareness, interoperability and artificial intelligence all enable cheaper and quicker work, whether it is sharing information between healthcare providers or on internal day-to-day operations, while ensuring quality care. By enabling the latest solutions in healthcare technology, health systems can create a better work environment for providers and a seamless experience for patients.
To learn more about interoperability, legislation, cybersecurity and AI in healthcare, visit 探花视频鈥檚 Healthcare Technology solutions portfolio to explore solutions showcased at HIMSS. For additional research into the key takeaways thought, industry and Government leaders presented at HIMSS, view 探花视频鈥檚 extensive market research brief for a deeper dive.
As new technologies like low-code/no-code development and generative AI (GenAI) revolutionize how we build and interact with software, they also bring about new security challenges鈥攅specially for the public sector. Protecting sensitive information and online accounts is more critical than ever, as cybercriminals look to exploit gaps in these emerging systems. Ensuring robust security and threat visibility is now essential for safeguarding against the risks associated with these advancements, especially as traditional safeguards become less effective in the face of evolving threats.
Low-code Development Exposes New Risk
One of the unintended consequences of our shift to a low-code/no-code development paradigm is the delegation of complex development tasks to Large Language Models (LLMs) and GenAI systems, often bypassing seasoned developers and architects. This opens new opportunities for cybercriminals. These systems excel at functional requirements鈥斺楤uild me a website that accepts customer checkout requests鈥欌攂ut they rarely infer non-functional needs, like security, unless explicitly instructed.
In traditional software development, security considerations are often implicit, stemming from the experience of developers and architects who鈥檝e spent years learning from real-world failures. GenAI, however, lacks this depth of experience and focuses narrowly on the task at hand. The result? Incomplete or inadequate security measures in software developed through these systems. As organizations lean more heavily on GenAI, we risk creating an insecure software ecosystem ripe for exploitation by threat actors.
The Proliferation of Knowledge-Based Verification Attacks
We鈥檙e on the brink of a surge in automated attacks exploiting vulnerabilities in Knowledge-Based Verification (KBV) systems. Large-scale data breaches, like the one that exposed millions of Social Security numbers last year, are eroding the effectiveness of this approach at confirming identity when creating an account or supporting a password reset. These processes often rely on KBV鈥攕uch as answering questions about your mother鈥檚 maiden name or the street you grew up on鈥攂ut this information is increasingly accessible to malicious actors.
As these personal details become more widely available through data breaches and online marketplaces, attackers can easily bypass KBV systems. Worse yet, threat actors can now leverage LLMs to develop sophisticated tools to mine personal data at scale and orchestrate automated attacks against these KBV systems. Organizations face an urgent challenge: how to protect accounts in a world where traditional KBV methods are no longer secure or reliable while still offering users a legitimate path to create an account or regain access when needed.
LLM Safeguards Can Be Overridden or Bypassed by Running Models Locally
With the proliferation of local LLM instances and tools like Ollama, we鈥檒l see safeguards embedded in commercial LLMs eroded or bypassed entirely. Running models locally can allow threat actors to fine-tune them, removing restrictions on malicious activity and enabling custom models optimized for cybercrime. This creates a new frontier for scaled attacks that are faster, more targeted, and harder to detect until it’s too late.
Imagine a threat actor fine-tuning a model to craft phishing campaigns, identify vulnerabilities in software, or automate account takeovers. The ability to localize and modify these models fundamentally shifts the balance, empowering attackers with tools tailored to their malicious intent. The guardrails built into commercial LLMs are no match for this growing trend, amplifying the need for robust detection and defense strategies at every level.
As the public sector continues to adopt innovative technologies, staying ahead of emerging cyber threats is crucial. The increasing sophistication of attacks, such as those targeting KBV systems and leveraging GenAI, highlights the need for stronger protections. By prioritizing comprehensive security measures and threat detection, organizations can mitigate the risks of these evolving vulnerabilities and safeguard their sensitive data and online accounts against malicious actors. It is essential to build and maintain resilient security strategies to ensure the integrity of digital infrastructures in this rapidly changing environment.
To learn more about how HUMAN Security helps the public sector protect citizen accounts, sensitive information, and critical infrastructure, .
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 HUMAN Security, 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.
