In today鈥檚 rapidly changing world, Government agencies are under immense pressure to deliver efficient, transparent and citizen-focused services. They often work with limited budgets and follow strict rules. Although creativity is commonly associated with the Private Sector, it has become increasingly important in the Government space. Creative thinking allows employees to develop better solutions for complex challenges, such as emergency response and policy implementation. Adobe鈥檚 creative software plays a valuable role in this shift by helping agencies improve their digital workflows, reduce delays and operate more effectively while meeting high standards for security and compliance.
The Value of Creativity in the Public Sector
Creativity in the Public Sector goes beyond new ideas. It helps agencies address important issues like public health, infrastructure improvements and fair access to services. By encouraging fresh thinking, Government teams can create clearer communications for citizens, present complex data in simple ways and design programs that truly meet community needs. When creativity is supported, agencies tend to achieve better results, build stronger public trust and adapt more easily to change. Without creative approaches, traditional processes can limit progress and make it harder to serve the public effectively.
Enhancing Digital Workflows with Creative Software
One area where creativity makes a real difference is in digital workflows. Many Government operations still depend on manual, paper-based steps that take considerable time and effort. Creative software tools help transform these into faster, more collaborative digital processes. Applications for graphic design, video production, document creation and data visualization enable teams to produce professional materials more efficiently. This includes public awareness campaigns, reports and e-learning training resources. Improved system integration also makes it easier for departments to share information and collaborate effectively.
Bottlenecks remain a common challenge in Government. Excessive paperwork, lengthy approval processes and outdated systems often cause delays, increase costs and reduce productivity. Creative software and automation offer a practical way to address these issues. By simplifying routine tasks, agencies can save significant time and resources. Features such as electronic signatures, document templates and real-time collaboration help speed up processes that could take up to twice as long using traditional methods.
Real-World Success Stories
Several Government agencies have seen clear benefits from creative software. Adobe Creative and Adobe Document Cloud, featuring Adobe Acrobat and Adobe Acrobat Sign, further helps by automating document-related tasks. The City of Denver used Adobe Creative Cloud to strengthen its online services and public outreach campaigns (City of Denver Case Study, n.d.). The Federal Aviation Administration (FAA) integrated these tools to modernize its grants management process. This change reduced paperwork and allowed funding for major infrastructure projects to proceed at a faster pace (FAA Case Study, n.d.). The United States Marine Corps achieved a 38 percent reduction in Adobe eLearning production costs by updating its training workflows with Adobe solutions (USMC Case Study, n.d.). The U.S. Census Bureau also realized substantial savings鈥攂etween $1.4 billion and $1.9 billion鈥攂y digitizing forms and outreach efforts (US Census Bureau Case Study, n.d.). Importantly, Adobe鈥檚 tools are designed to meet strict Federal security, accessibility and compliance requirements.
A Step Toward More Effective Government
By embracing creativity through secure and accessible creative software tools, Government agencies can reduce operational bottlenecks and deliver better service to the public, supporting greater efficiency, innovation and accountability.
Check out our on-demand webinar series for more information about how Adobe solutions empower teams to streamline workflows, harness AI-driven tools and elevate creative output.
Sources
鈥淐ity and County of Denver Case Study.鈥
鈥淎utomating digital documents to improve government efficiency and effectiveness.鈥 May 1, 2024.
鈥淯SMC Extends Elite Training to the Digital Classroom.鈥
Adobe Customer Success Story 鈥 鈥淯.S. Census Bureau.鈥 The savings range reflects estimates from Government Accountability Office (GAO) reporting on the 2020 Census digital innovations.
Adobe Customer User Cases.
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聽Adobe, 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聽探花视频 Blog聽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 onion model emerged during the growth of enterprise IT when organizations responded to new threats by adding new defensive layers. Each incident or compliance requirement led to another perimeter or middleware control. While effective in the short term, this layered approach produced patchwork systems with overlapping functionality, inconsistent policies and gaps that attackers could exploit.
The Onion Model and Its Vulnerabilities
The traditional “onion model” of cybersecurity layers defenses concentrically around a central database. Each layer is intended to provide a barrier against intrusion, but the cumulative effect is often an expanded and more complex attack surface. From the inside out, the layers typically include:
Database (Data) 鈥 the core asset containing customer records, financial transactions, intellectual property, logs and other sensitive information.
Schema & Validation 鈥 enforcement of data formats, constraints and integrity checks designed to prevent malformed or malicious inputs from reaching the core.
Application Logic & APIs 鈥 business rules and access methods that determine how applications interact with the database, often exposing numerous interfaces.
Access Controls & Identity (IAM) 鈥 authentication and authorization services (passwords, tokens, SSO, MFA) that regulate who can reach protected resources.
Encryption Services 鈥 cryptographic mechanisms for protecting data at rest and in transit, including key management, TLS/SSL and disk-level encryption.
Firewalls / Perimeter Security 鈥 network boundary defenses, intrusion detection systems, packet filtering and monitoring services designed to repel external threats.
Why the Attack Surface Expands
While each layer aims to protect the core, collectively they create new opportunities for exploitation:
Integration Points 鈥 every interface or protocol boundary becomes a seam that can be misconfigured or attacked.
Configuration Complexity 鈥 with more interdependent systems, administrators must manage extensive policy sets and security rules, increasing the likelihood of mistakes.
Expanded Targets 鈥 each layer (firewalls, IAM, middleware, encryption appliances) presents its own vulnerabilities, requiring constant patching and monitoring.
Dependency Chains 鈥 the failure of a single outer system can cascade inward, leaving the core exposed despite the presence of other controls.
In practice, adding more layers often enlarges the attack surface instead of shrinking it. Attackers exploit this complexity, probing for the weakest link among numerous entry points.
Operational Cost of a Typical Attack Surface
Beyond theoretical weaknesses, a large attack surface carries real operational costs. Tool sprawl burdens administrators with dozens of systems to configure and maintain.
Overlapping monitoring layers generate alert fatigue, obscuring genuine threats. Security budgets become diluted, funding maintenance of redundant defenses rather than reinforcing the integrity of the data itself.
Modern Threat Landscape
Today鈥檚 adversaries exploit weaknesses that layered defenses cannot easily address. Lateral movement bypasses layers once attackers are inside a network. Supply chain compromises enter through trusted applications, neutralizing perimeter filters. Zero-day exploits render outer walls ineffective overnight. Core-first security, with protection embedded at the data level, ensures confidentiality and integrity even in the face of these modern tactics.
Architectural Simplicity as Security
Simpler architectures are inherently more secure. Each removed integration point reduces the trusted computing base and the probability of misconfiguration. By embedding protections directly into the data layer, Walacor collapses overlapping controls, producing a system that is easier to audit, verify and trust. This simplicity is itself a security multiplier.
The Core-First Alternative
A core-first security model inverts the paradigm by embedding protections at the data layer itself rather than relying primarily on external systems:
Record-Level Encryption and Validation 鈥 each data element carries its own cryptographic safeguards, ensuring confidentiality and authenticity.
Immutable Integrity Proofs 鈥 cryptographic hashes and proofs guarantee that tampering is detectable, independent of outer defenses.
Minimized Trust Dependencies 鈥 fewer external layers are required for assurance, reducing the number of systems that must be defended and configured.
Resilience Under Breach 鈥 even if outer controls fail, the data itself remains cryptographically protected and resistant.
This approach shrinks the attack surface by concentrating security at the point of greatest value: the data. Instead of expanding outward with additional complexity, it reduces potential vectors for compromise.
Walacor and Core-First Protection
Walacor implements the core-first philosophy by embedding immutability, cryptographic enforcement and schema validation directly into the data layer. Rather than building outward layers that expand the attack surface, Walacor collapses unnecessary perimeter complexity and anchors protection where it cannot be bypassed: the data itself.
Data-Level Cryptography 鈥 each record is encrypted and bound to proofs of authenticity, eliminating reliance on external encryption appliances.
Immutable Storage 鈥 records are tamper-evident at the core, reducing the need for overlapping monitoring systems.
Integrated Validation 鈥 schema and policy checks occur at write-time, blocking invalid or hostile data without middleware add-ons.
Shrinking the Attack Surface 鈥 because Walacor renders many outer layers redundant, there are fewer interfaces to defend, fewer seams to misconfigure and fewer targets for attackers.
Walacor demonstrates that the most effective way to minimize the attack surface is to concentrate defenses in the core, ensuring data integrity and confidentiality regardless of the state of external systems.
Agents, AI and the Attack Surface
The emergence of intelligent agents and AI-driven systems adds a new dimension to the attack surface discussion. Agents interact with data across multiple contexts鈥攓uerying, transforming and making autonomous decisions. In a traditional layered model, each of these interactions multiplies the integration points and potential vulnerabilities. Malicious prompts, poisoned training data or compromised connectors can all bypass outer defenses to reach sensitive information.
A core-first model directly addresses this risk. By cryptographically securing and validating data at the record level, Walacor ensures that even AI agents cannot be tricked into handling falsified or tampered records. Every data element carries its own assurance, creating a trustworthy substrate for automated reasoning and machine learning pipelines.
In this way, AI becomes a consumer of verifiable data rather than a potential vector for hidden compromise, aligning intelligent agents with the same guarantees that protect human operators.
Forward-Looking Implications
A core-first approach lays the groundwork for enduring benefits. Immutable, verifiable data strengthens sovereignty in federated and multicloud environments. Compliance becomes easier, as audit trails and integrity proofs are inherent to the system rather than bolted on. This architecture future-proofs sensitive systems, ensuring resilience against evolving threats.
Reinforcing the Core-First Premise
The onion model reflects a reactionary philosophy that often results in excessive complexity and a sprawling attack surface. A core-first strategy simplifies the architecture by embedding protection directly into the data layer, eliminating unnecessary exposure and ensuring that sensitive information remains secure even in hostile conditions.
To learn more about a core-first approach to cybersecurity, contact
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聽Walacor, 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聽探花视频 Blog聽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.
Moving Upstream: The Evolution of Software Supply Chain Attacks
The software supply chain consists of multiple components, touching every piece of code from the moment of conception to the moment of deployment into a Government application. This includes a variety of software, including third-party libraries, open source components, build tools and software architecture, making it a valuable target to hackers.
The software supply chain threat landscape has evolved from a series of disjointed yet targeted attacks to a broader upstream poisoning strategy. Historically, malicious actors targeted specific agencies; today, they have shifted to targeting upstream public software libraries and repositories. These open source libraries are used by thousands of Government agencies and can cause untold damage in a single attack. In the Public Sector, a compromised supply chain does not just mean a data link鈥攊t can constitute a threat to national security.
Several real-world cyberattacks exemplify this pattern change, including the 2025 Shai-Hulud software supply chain attack and the 2025 GlassWorm Integrated Development Environment (IDE) extension cyberattack. Malicious actors contribute code that appears to be helpful to public open source projects that contain hidden backdoors or vulnerabilities. In this case, it grants access to systems run by Government agencies.
Some hackers target the developer toolchain and IDE more broadly, as shown in the GlassWorm IDE extension cyberattack. GlassWorm was a self-propagating vulnerability whose initial threat injection was through an IDE extension download through a popular IDE extension marketplace. Other malicious actors have targeted artificial intelligence (AI)-powered supply chains, taking advantage of the speed and power of AI to propagate sophisticated multi-threaded threat campaigns against the developer ecosystem.
Setting Up for Success: Security Built Into the Process
In February 2022, the US Government published the National Institute of Standards and Technology (NIST) Secure Software Development Framework (SSDF) to combat threats to the software security chain. This publication divides guidance under four main practice groups:
Preparing the organization
Protecting the software
Producing well-secured software
Responding to vulnerabilities
These groups shift the model from fragmented security tools stitched together toward a unified process in which the security is baked directly into the developer鈥檚 workflow. For agencies, this framework provides a common language from which they can all develop a cohesive, secure and regulated software supply chain.
One of the ways developers can secure their supply chains is through Software Bill of Materials (SBOMs). SBOMs are essentially recipes for software; they outline all of the components inside a piece of software. These became required through Executive Order (EO) 14028 but creating them manually at the speed of modern DevSecOps is nearly impossible. Furthermore, as the Government manages risk and prepares for quantum-safe cryptography, the ability to support industry-standard and Federal compliance requirements for Software Package Data Exchange (SPDX) and CycloneDX SBOM formats, which include Vulnerability Exploitability Exchange (VEX) and cryptographic information, is mandatory for mission success.
The automation of SBOMs affects multiple components of the software supply chain:
Real-Time Visibility: Agencies have insight into all aspects of the software supply chain, from the deployment of a new line of code to the introduction of common vulnerabilities and exposures (CVE) to their inventory.
Reach of Vulnerability: DevSecOps teams can look at a vulnerable part of a library and determine the status of execution, the path of remediation and how agencies should prioritize remediation efforts.
Continuous Compliance: Every automated SBOM ensures that every release is compliant with Federal standards without requiring manual audit every time.
Beyond SBOMs, Federal agencies can focus on implementing other safeguards. Developing a curation process to vet open source libraries and components before they are ever downloaded is a critical first step. Agencies should examine potential application and service exposures, such as leaked credentials or backdoors in the software architecture. Additionally, securing the code at the binary level ensures that what was tested and developed is exactly what is run in production.
The JFrog Software Supply Chain Platform: All in One
From inception of code to runtime during mission-critical operations, having a single platform that provides security and visibility across the Software Development Life Cycle (SDLC) is crucial. The ensures those factors by focusing on universal binary management. It supports over 30 open source packages, including Docker, Maven and Python. , JFrog鈥檚 universal artifact repository manager, manages this package from one place, providing a single source of truth for developers that support mission-critical applications.
JFrog does not just look at the top layer for vulnerabilities and exposures; they scan deep into every dependency and sub-dependency within the binary to protect developer tools and infrastructure. Signed evidence at every gate creates end-to-end traceability from the developer鈥檚 IDE to edge deployment. The JFrog Platform is compatible with multiple network environments, from on-prem to hybrid to a multicloud flexible strategy.
As the Government modernizes its approach to digital transformation, agencies need industry partners that provide visibility into the next frontier. Security starts and extends across the software supply chain, from the inception of the code at the binary level to deployment of the application. The JFrog Platform delivers unprecedented trust assurance and risk mitigation through their signature binary-level security and positions and partners at the bleeding edge of innovation.
Explore JFrog鈥檚 DevSecOps solutions and how JFrog can protect Public Sector software supply chains from code to production.
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聽JFrog, 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聽探花视频 Blog聽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.
Disconnected, vendor-dependent security stacks leave smaller teams blind to threats and overwhelmed by noise they鈥檙e not equipped to manage.
Symantec CBX unifies Symantec and Carbon Black capabilities into a cloud-based XDR platform that delivers native telemetry correlation, AI-driven insights and enterprise-grade protections without enterprise-level complexity.
Built for resource-constrained teams, Symantec CBX reduces costs, cuts alert fatigue, accelerates response and gives organizations a long鈥overdue advantage against increasingly sophisticated, AI-powered attacks.
See Symantec CBX in action in Booth N-5345 at RSAC 2026 Conference.
It鈥檚 time for the cybersecurity industry to face an uncomfortable truth: The tools meant to make organizations safer are often the very systems slowing them down, and sometimes leaving them vulnerable.
The problem is that security stacks are built over time from disparate tools that prevent analysts from seeing the full operating environment. Smaller security teams have relied on vendors to solve the challenge of integrating various products鈥攁nd too often, vendors have fallen short, making it too difficult to gather and correlate the telemetry needed to understand what鈥檚 really happening across endpoints, networks and data.
While large enterprises have the resources to manage and integrate complex security stacks, left behind are the organizations that make up the largest swath of the cybersecurity customer market: smaller, less-resourced security teams that increasingly face AI-powered, enterprise-grade threats but lack the budgets and in-house expertise to implement enterprise-grade defenses. These sophisticated attacks can decimate smaller organizations, turning them into casualties of an fueled by nefarious AI agents that never miss a day of work.
These security teams don鈥檛 just need better tools. They need an advantage. Now they have one.
XDR from the pioneer of EDR
Today, we鈥檙e introducing , a groundbreaking new extended detection and response (XDR) solution that combines all the best capabilities of Symantec and Carbon Black into a unified, cloud-based platform. Symantec CBX is the first new product to integrate features from these two iconic brands. But more importantly, it鈥檚 the first fully featured XDR platform built expressly for smaller teams looking to evolve their security protections, but that lack the expertise and resources needed to configure and optimize traditional enterprise-class XDR solutions.
In Symantec CBX, we鈥檝e distilled decades of innovation from Symantec and Carbon Black into a platform that solves the problem of correlating and making sense of telemetry across endpoints, networks and data. Typically, the various tools within security stacks attempt this via API integrations. But those fragmented couplings are often incomplete and leave dangerous gaps in visibility and actionable insight. Security analysts may understand that something is happening鈥攖hey just don鈥檛 always know what it is or what to do about it.
The problem grows worse as attack surfaces expand. Organizations send more and more data to costly SIEM platforms, leading to a waterfall of challenges, from endless false positives that waste analyst time to murky outcomes that frustrate corporate management looking for evidence that security programs are working. These are costs smaller organizations can鈥檛 afford.
Symantec CBX solves this by combining into a single cloud platform Symantec鈥檚 robust prevention, data security and network security features with Carbon Black鈥檚 for deep visibility, exceptional threat detection and rapid response across attack surfaces. Spared from log-centric ingestion, security teams detect incidents more precisely and can act more confidently.
Native correlation is just the beginning
With Symantec CBX, native telemetry correlation sits at the center of a vast array of advanced capabilities that, until today, were available only from multiple point solutions. In CBX, we have integrated breakthrough features from Symantec and Carbon Black that make teams smarter and more efficient. Here鈥檚 what security teams can look forward to:
AI that makes life easier for humans at the helm. We鈥檝e strategically deployed AI to deliver meaningful improvements to security workflows, resulting in capabilities that simply aren鈥檛 available anywhere else. Take , which allows any analyst to see all adversary activity in a single pane. (Even junior analysts can understand immediately where attackers came in, how they executed their attack and what data they accessed across endpoint, network, email and cloud environments.) The CBX platform also includes , which uses AI to stop living off the land (LOTL) attacks before they do damage. And Symantec鈥檚 Incident Prediction, the groundbreaking feature we introduced last year, predicts an attacker鈥檚 next four to five moves so teams can stop threat actors moving laterally to steal data or shut down systems.
More complete insights for faster remediation. , another AI-powered feature, gathers comprehensive data about incidents and presents them in well-written, intuitive summaries and remediation guidance so any analyst can engage mitigation when and where it makes sense.
Enterprise-grade network and data protections. Drawing from the best of Symantec Secure Web Gateway (SWG) and Symantec DLP solutions, this new XDR platform defends the network and data domains by stopping malicious traffic at the network edge, while packaging data security essentials from our to ensure that sensitive data stays where it belongs. Via the integrated Symantec Cloud SWG
Express, this new platform even supports post-quantum computing cryptography protocols, thus shielding organizations from the threat of increasingly common 鈥渉arvest now, decrypt later鈥 attacks and relieving concerns over the prospect of attackers someday unlocking encrypted data.
Meaningful outcomes and rapid time to value. Security managers are expected to continuously improve their team鈥檚 performance, but that鈥檚 not easy when disjointed solutions create needless friction and confusion, and multiple dashboards steal time from an already busy day. We built Symantec CBX with the features and that enable the outcomes security teams need most: driving down SIEM and operational costs, rescuing analysts from alert fatigue, speeding time to resolution, meeting governance requirements and demonstrating progress by improving metrics.
Out-of-the-box policy configurations make CBX easy to implement and deliver immediate value.
The Goldilocks platform for the heart of the market
Symantec CBX is aimed squarely at the heart of the cybersecurity market, empowering and enabling security teams of virtually any size with a platform that puts them first. No other XDR solution is built so specifically for organizations laboring under tight budgets, too few resources, a persistent lack of senior expertise, chronic alert fatigue and the ever-more鈥揹aunting .
Symantec CBX is the XDR platform for this moment and this market. As the first new solution from Broadcom to integrate capabilities from both Symantec and Carbon Black, CBX is the realization of our strategy to deliver on the we made when these two legendary brands first came together under Broadcom鈥檚 Enterprise Security Group. And it鈥檚 the ideal solution for our global network of Catalyst Partners, with their deep regional expertise and close customer relationships, as they help organizations struggling to keep up in an environment of constant change and unrelenting challenges.
Overwhelmed security teams need an advantage, and now they have one.
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聽Broadcom, 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聽探花视频 Blog聽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.
This post originally appeared on聽, and is re-published with permission.
As if gaining visibility into all human and non-human identities wasn鈥檛 a big enough task for security teams, adding AI agents into the mix takes identity complexity to a new level. Organizations of all sizes are tackling this new reality, where it feels premature to confidently say they know about all the AI agents running in their environment.
That uncertainty is not a knowledge gap. It is an attack surface.
names the real nugget of truth: 鈥淧urpose/intent cannot be discovered after the fact by monitoring and observability capabilities.鈥
That is not just analyst language. It is a fundamental shift in how we need to think about governing agents. You cannot govern agents by watching them after-the-fact. You must know who they are, what they are for, and who is accountable before they run.
The numbers that should change your priorities
Gartner鈥檚 data reinforces the urgency. By 2029, over 50% of successful attacks against AI agents will exploit access control weaknesses. By the year before, 90% of organizations that share credentials between humans and agents will need to make significant investments to undo that design.
Those numbers are consequences, not causes. The root cause is structural: IAM maturity for agents is uneven. The Gartner lifecycle maturity assessment makes this visible. Authentication and monitoring capabilities are relatively mature. Identity registration and authorization are not. That gap is the story.
Weak identity registration means the agent was never properly onboarded as an identity. No defined owner. No declared purpose. No documented scope. It has credentials and it is running, but nobody can tell you who built it, what it is supposed to do, or what happens when it breaks. When registration is weak, ownership is unclear. And when ownership is unclear, accountability does not exist.
Weak authorization means the agent has more access than it needs. It can reach databases, APIs, and workflows that have nothing to do with its intended function. Nobody scoped it down because nobody defined what 鈥渄own鈥 looks like. When authorization is weak, privilege is excessive.
Now combine excessive privilege with autonomy. , with more access than it should have, and no one clearly accountable for what it does. That is the exploitable attack surface. That is the chain revealed in Gartner鈥檚 data.
You cannot protect what you cannot see
Before you can govern agents, you need to find them. All of them. Not just the ones your platform team sanctioned. The ones that developers spun up to solve an issue. The ones contractors built. The ones that exist because someone needed to 鈥渏ust get this working.鈥
We hear this consistently from security teams. As one InfoSec manager at a professional services firm put it: 鈥淲e do not find out about it until someone goes and does an actual audit of the system.鈥
Gartner鈥檚 assessment confirms it: identity registration is one of the least mature IAM capabilities for AI agents. Most organizations cannot answer the basics: What is this agent supposed to do? Who owns it? What happens when it breaks?
Discovery is not a checkbox. It is the foundation. Without it, every policy you write is based on assumptions, and assumptions do not survive first contact with autonomous agents operating at machine speed.
The identity registration gap
Most organizations are trying to govern agents with the wrong tools. They are monitoring. They are logging. But monitoring tells you what happened. Identity registration tells you what should happen. Authorization enforces the boundary between them.
If your governance model depends on catching problems after they occur, you are always going to be behind.
This is where many organizations reach for familiar tools. IGA platforms can help with registration and lifecycle management. IAM solutions like Okta or Entra ID can register agent identities. These are necessary steps. But they stop there. They can tell you an agent exists and who requested it. They cannot enforce anything at the moment that agent acts.
That is the gap: governance on paper versus enforcement in production.
Agents are identities, but not like any you have managed before
The way I read Gartner鈥檚 recommendations, there is a unifying thread: treat AI agents like you would treat any identity in your organization. They authenticate. They access resources. They act on behalf of someone. That is not a tool. That is an identity.
But agents are more complex than traditional identities. They are what we call composite identities. They combine the blast radius of service accounts with the unpredictability of human decision-making at machine speed.
Four reasons that make them different:
They act autonomously, unlike service accounts that execute predefined operations.
They may inherit human delegation, creating privilege escalation risk.
They may chain multiple machine identities in a single task.
They may operate across trust boundaries your IAM system was not designed to handle.
Think about how you onboard an employee. You do not give them admin access on day one. You define their role, their manager, their scope. You review their access as responsibilities change. Agents need that same lifecycle. But right now, most organizations are skipping straight to 鈥済ive them credentials and hope for the best.鈥
What runtime enforcement actually looks like
Gartner calls out the authorization gap. But what does closing that gap look like in practice?
Even modern IAM systems, including conditional access and continuous evaluation, were designed primarily to evaluate who is signing in and what that identity is generally allowed to do. Agents introduce a different problem. They do not just sign in. They execute. They invoke tools dynamically. They operate across multiple identity contexts within a single task.
Traditional conditional access evaluates who is signing in and under what conditions. Agent governance must also evaluate what is being executed, at the moment of execution.
Here is what that looks like: an agent is about to call a tool, read from a database, trigger an API, or execute a workflow. Before that happens, there is a decision point. Runtime enforcement evaluates the composite identity: the human owner, the agent itself, the tool credentials, and the defined purpose, all at execution time. Is this agent authenticated? Does it have permission for this specific action? Is this behavior consistent with its intended function?
That is runtime enforcement. Not configuration-time policies that assume the agent will behave as designed. Decisions at execution time, every time.
What Silverfort does differently
If the failure pattern is identity immaturity, then the control point must also be identity. Most AI agent security approaches start at the model or application layer. . Because if identity is uncontrolled, everything above is fragile.
Human accountability by design
Every AI agent is explicitly tied to a real human owner in policy. Not informally. Not in documentation. In enforcement logic.
Every action can be traced back to a real chain of accountability: which human owns this agent, what identity the agent is operating under, and what credentials it uses to access resources. That is what we mean by composite identity. And it is what makes enforcement possible before monitoring even begins.
Runtime enforcement at the identity layer
Silverfort enforces at the identity decision point at runtime. For MCP-connected agents, that means sitting in line between the agent and the MCP server. For platform-native agents, enforcement is delivered through native integration, directly within the platform.
Before a tool call executes, we evaluate identity, context, delegation, and policy in real time. If the action exceeds scope, it does not execute. This is not configuration-time IAM. This is execution-time identity enforcement. That distinction matters.
Least privilege that survives autonomy
Static least privilege assumes predictable behavior. Agents break that assumption. They reason. They chain tools. They drift from what they were originally authorized to do. Least privilege must be validated at runtime, not just set at provisioning.
That means if an agent tries to access a resource outside its declared purpose, it gets blocked. If delegated privileges start expanding beyond what was originally scoped, they are contained. This is the same enforcement model we apply to humans and service accounts, now extended to AI agents.
One Identity Security Platform
AI Agent Security is not a standalone product. Agents sit at the intersection of human identities, non-human identities, service accounts, cloud resources, SaaS applications, and protocol layers like MCP. If those domains are secured separately, agents will exploit the seams.
Silverfort unifies this. One policy framework. . One enforcement architecture. Across humans, machines, and AI. That is the architectural difference.
Enabling AI innovation without slowing it down
Security leaders are not trying to stop AI adoption. They are trying to make sure it does not outrun their ability to govern it. The organizations moving fastest with AI agents are the ones that figured out early: the right security model is a speed advantage, not a drag.
Cars have brakes so you can drive fast. The same principle applies here.
But, the brakes only work if they鈥檙e connected to the same system. Today, most organizations secure human identities in one tool, service accounts in another, and AI agents (if at all) in a third. If those domains are secured separately, agents will exploit the seams.
That鈥檚 the reason teams need a unified .
One policy framework means a CISO can define 鈥渘o agent accesses production data without human approval鈥 once and have it applied across every agent, every platform, every protocol. No per-tool configuration. No coverage gaps.
One observability layer means when an agent acts, you see the full chain: which human triggered it, which NHI it authenticated with, which tool it called, and what data it touched. Not three dashboards stitched together after the fact, but a single view that makes incident response possible in minutes instead of days.
One enforcement point means policy is applied at runtime, at the moment of action, not retroactively through quarterly access reviews. When an agent requests access, the decision happens inline. Allow, deny, or . Before the action executes, not after.
This is what shifts AI agent security from a governance exercise to an operational capability. Discovery tells you what exists. Registration tells you who owns it. Runtime enforcement tells agents what they鈥檙e actually allowed to do, in the moment, every time.
AI agents represent the next frontier of identity. Identity Security must evolve accordingly, from governance alone to . Discover what is running. Register who owns it. Enforce at the moment of execution. That is the path.
The Gartner report is worth reading in full. : .
Want to learn how Silverfort discovers and protects AI agent identities?
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 Silverfort, 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.
This post originally appeared on , and is re-published with permission.
State and Local Government agencies are under pressure to do more with less while still delivering reliable services. Transportation is fragmented in many agencies, with four or five separate vendor contracts across departments in larger agencies. There is an over-reliance on legacy vendors that are significantly more expensive, including specialty vendors that are important for certain populations and services but may not be necessary for every rider. In many cases, these systems require rides to be booked days in advance, sometimes through offline means such as phone calls. This lack of centralization also limits reporting and visibility into how transportation dollars are being spent.
Uber for Business helps Government agencies move away from a fragmented model by offering a single enterprise platform that can support a variety of transportation needs across departments. With more than 9.4 million participating drivers and couriers, Uber has the largest rideshare network in the world. Centralized administration and reporting provides agencies with a complete view of their transportation programs while reducing the burden on staff who currently manage rides manually.
Supporting Employee Travel and Community Programs
Agencies are using Uber for Business in several capacities. One major use case is employee travel. Many agencies still rely on rental cars or motor pools for staff traveling for work. Uber for Business provides an alternative that can also augment existing fleet operations, helping reduce reliance on basic sedans while allowing fleet teams to focus on specialized vehicles. Agencies can set controls around who can ride, when they can ride and what trip options are available. This is especially appealing as many employees are already familiar with using Uber in their personal lives, making it a seamless and intuitive option to extend into official Government travel.
Agencies are also using Uber for Business to support community-facing programs, including:
Court systems use rideshares to transport victims and witnesses, ensuring they arrive on time reliably and have access to a mode of transportation they are familiar with.
Social service departments and similar programs are using rideshare to close mobility gaps for the populations they serve, including workforce reentry, recidivism and youth and family programs that need reliable transportation to access essential services or job opportunities.
Public safety and transportation agencies are leveraging rideshare to support anti-driving under the influence (DUI) and safe ride campaigns, helping reduce impaired driving by providing residents with accessible transportation alternatives during high-risk times.
Delivering Value Quickly
One of the clearest advantages of Uber for Business is how quickly agencies can begin seeing value. For program managers responsible for overseeing social service and community programs, the benefits can be immediate when constituents are able to get where they need to go more reliably. Smoother transportation can make programs easier to manage and more effective overall.
Programs can be set up as fast as a couple of days. This speed can be especially important when agencies have immediate transportation needs or are looking for a fast, low-lift way to modernize existing processes.
Reducing Costs and Administrative Burden
Cost savings are another major driver for adoption. Through Uber鈥檚 partnership with 探花视频, the solution is available through a National Association of State Procurement Officials (NASPO) agreement that includes built-in incentives for agencies. Uber also applies a tax exemption tag when setting up programs so eligible rides are exempt from applicable taxes.
Beyond discounts and tax advantages, agencies can realize significant operational efficiencies. Program managers no longer need to call in rides or worry about whether clients are reaching their destinations. Instead, they can see trips in real time, communicate with drivers during the booking process and distribute ride credits easily. These streamlined workflows reduce administrative effort and help programs run more efficiently.
Improving Visibility, Compliance and Oversight
For agencies in large counties, Uber for Business can be set up with a parent account that all department accounts fall under. This gives agencies centralized administration rights and better reporting across the organization. It also supports auditing and grant compliance by allowing administrators to view granular details for each trip.
Centralization also helps agencies capture unmanaged transportation spending that may otherwise happen informally across departments. Instead of relying on ad hoc rideshare use with little oversight, agencies can bring transportation activity into one system and enforce internal policies more consistently.
Enhancing the Transportation Experience
Ease of use is a major reason agencies are adopting Uber for Business. For riders, the biggest advantage is on-demand access. Rather than scheduling transportation days in advance, riders can get a trip when they need it. This flexibility can make a meaningful difference for participants in social service and workforce reentry programs, where reliable access to transportation can affect whether someone is able to reach work, court or other essential services.
Uber has also invested in accessibility features, building tools for riders who may not have a cell phone or the Uber app, as well as for those who speak another language or have low vision or hearing-related disabilities. For Government agencies focused on serving all constituents, not just most, these capabilities can help expand access and improve inclusivity.
A Centralized Transportation Strategy
According to Uber, the most successful deployments happen when an executive or procurement leader helps identify which departments across an agency could benefit from a more modern, efficient mobility solution. That agency-wide visibility makes it easier to structure the right program from the start, including setting up the parent account, selecting the right products for different departments and developing an implementation and training plan for staff. This kind of centralized planning can help agencies move beyond isolated pilots and create a transportation strategy that serves multiple departments and use cases through one platform.
For agencies just getting started, most programs can be up and running in less than a month. While some agencies may choose to run their own solicitation process, others can take advantage of existing contracts through NASPO and 探花视频 to start immediately. In emergency situations, deployment can be done within a day. Uber can move as fast as an agency requires.
As agencies look for ways to improve service delivery, manage budgets more carefully and give employees and constituents more reliable transportation options, Uber for Business provides a scalable and flexible model for modernization. From employee travel and fleet augmentation to court systems and social services, a centralized rideshare platform can help agencies simplify operations, improve oversight and better meet transportation needs across the communities they serve.
To learn more about how Uber provides modern travel and rideshare options to Government agencies, view their Uber for Business portfolio.
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 Uber for Business, 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
How agencies can retain full-fidelity data without overspending on storage
Endpoint detection and response (EDR) depends on data. The more telemetry you collect, the more context you have to detect threats, investigate incidents and meet Federal compliance requirements.
But data volume is also the problem. Federal agencies generate massive amounts of endpoint telemetry every day. Process activity. File changes. Network connections. User behavior. Multiply that across thousands of devices and storage requirements quickly grow beyond what many teams can sustain.
Security teams often face a difficult tradeoff: retain full-fidelity data and absorb higher storage costs, or limit retention and risk losing critical visibility.
That tradeoff is no longer necessary. Advanced data compression changes the economics of endpoint visibility. Agencies can retain unfiltered telemetry for extended periods without expanding storage budgets or adding operational complexity.
The Visibility鈥揝torage Tradeoff is No Longer Sustainable
Federal cybersecurity requirements continue to raise the bar for telemetry collection and retention. Agencies must support Zero Trust initiatives, continuous monitoring programs and audit readiness. Modernization efforts increase the number of connected endpoints, including cloud workloads, remote systems and contractor-managed devices. Each new endpoint expands the telemetry footprint.
At the same time, budgets remain under scrutiny. Storage infrastructure must compete with other mission priorities and security leaders must justify every dollar. When storage costs climb, teams often respond in predictable ways:
Reduce retention windows
Sample or filter telemetry
Drop lower-priority event types
Offload data to external archives that are difficult to query
Each of these approaches creates blind spots. Shorter retention windows limit historical investigations and filtered data weakens threat hunting while fragmented storage slows response times.
In a threat context where adversaries can dwell quietly for months, incomplete data is a liability. Agencies need a way to collect and retain comprehensive telemetry without creating unsustainable storage growth.
Compression-First Architectures Improve Data Retention
Traditional security platforms treat compression as an afterthought. Data is collected at scale, stored in raw or lightly optimized formats and compressed later in the pipeline. By then, infrastructure costs are already locked in.
A compression-first architecture takes a different approach. Advanced compression techniques reduce data size at ingest. Telemetry is optimized as it enters the platform, not after it has consumed storage resources. The result is a significantly smaller storage footprint without sacrificing fidelity. For Federal security operations centers (SOCs), this shift has meaningful impact:
Longer retention without higher cost 鈥 Agencies can retain 180 days or more of full-fidelity telemetry while remaining within budget constraints.
Unfiltered visibility 鈥 Teams do not need to decide in advance which data might matter later. They can keep it all.
Faster investigations 鈥 Optimized storage enables efficient querying across large datasets, supporting threat hunting and incident response.
Simplified architecture 鈥 Native compression reduces the need for external storage tiers or complex archival systems.
Instead of managing tradeoffs, security teams regain flexibility.
Full-Fidelity Data Supports Compliance and Zero Trust
Federal mandates increasingly require measurable security maturity. Continuous monitoring, device-level visibility and documented audit trails are central to that effort, and retention depth matters.
When agencies can access complete endpoint histories, they strengthen their ability to:
Validate Zero Trust controls within the device pillar
Reconstruct events during forensic investigations
Demonstrate compliance with evolving Federal security requirements
Support reporting obligations tied to vulnerability and risk management
Short retention windows make it harder to answer fundamental questions: When did this behavior begin? Was lateral movement attempted? Did similar activity occur on other systems?
With compressed full-fidelity data, those questions become easier to answer and teams can look back months, not days. This level of historical visibility supports stronger analytics, more informed risk decisions and more defensible reporting.
Cost Efficiency Matters Under Federal Scrutiny
Every Federal technology investment must demonstrate operational value. Advanced compression directly addresses cost concerns in several ways:
Reduces total storage consumption
Delays or eliminates additional infrastructure purchases
Lowers operational overhead tied to managing multiple storage systems
Minimizes data movement between tiers
At the same time, it strengthens the overall security posture by preserving data that might otherwise be discarded. This combination of efficiency and depth is particularly important for agencies balancing modernization initiatives with budget discipline.
Security cannot become a cost center that expands without limit. It must scale responsibly. Compression-first EDR architecture supports that balance.
The Federal security community no longer needs to accept a compromise between cost and visibility. Advanced data compression enables agencies to:
Collect unfiltered endpoint telemetry
Retain data for extended periods
Support Zero Trust maturity
Strengthen investigative capabilities
Maintain fiscal discipline
As agencies define the next standard for Federal EDR, data strategy must be part of the conversation. Retention, accessibility and efficiency determine whether telemetry delivers long-term value.
Carbon Black and 探花视频 help Federal agencies adopt a compression-first approach to endpoint detection and response, so teams can keep more data, store less and operate with confidence.
Contact us to learn how your agency can adopt a compression-first approach to endpoint visibility while staying within budget.
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聽Broadcom, 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聽探花视频 Blog聽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.
How Incorta, Google and 探花视频 help State, Local, education and Federal civilian agencies move from slow close cycles to real-time, AI-ready financial insight
I spend a lot of my time talking with Government finance leaders鈥擟FOs, comptrollers, budget directors鈥攁nd the conversation almost always starts with AI and ends with data. Almost every agency I talk to eventually runs into the same wall: their data isn鈥檛 ready. As we move toward agentic AI鈥擜I that takes actions and makes decisions on its own, not just answers questions鈥攖he demands on that foundation multiply fast. Until it鈥檚 right, AI remains a slide in a strategy deck. That鈥檚 the problem Incorta was built to solve.
Nowhere is this more obvious than in Public Sector financial management, where the stakes are high, the infrastructure is often decades old and the expectation for transparency has never been greater. If we want to talk seriously about Unified Financial Intelligence in Government, we have to talk seriously about the data brain underneath it鈥攖he trusted, real-time, contextual foundation that AI agents depend on to make accurate, explainable decisions. Without it, you don鈥檛 have an AI problem. You have a data problem dressed up as one.
The Real Bottleneck: Government Finance Needs a Data Brain
Public Sector finance teams are under more pressure than ever: leaner budgets, post-pandemic fiscal gaps, enrollment volatility and a mandate to do more with less. New White House and OMB directives are accelerating the AI timeline鈥攁gencies are being asked to demonstrate AI-ready infrastructure now, not in a future budget cycle.
For CFOs, comptrollers and finance teams, that pressure is concrete. Close cycles still take days or weeks.Analysts spend more time gathering data than using it. When leadership questions a number, the answer is 鈥渓et me pull it manually鈥濃攂ecause the system shows aggregates, not the transactions behind them.
The root cause isn鈥檛 a lack of tools or talent. Financial data is scattered across GL, procurement, grants, payroll and project systems鈥攅ach with its own codes and timing鈥攁nd traditional ETL strips out the very context that makes it useful. That鈥檚 the data brain problem.
What the Data Brain Has to Deliver
For finance, AI isn鈥檛 about prettier dashboards. It鈥檚 about answering hard questions: why did this variance occur? Where are the early signals of fraud, waste or abuse? What does next quarter look like if this assumption changes? To answer those credibly, AI needs a data brain.
That data brain has to deliver three things: granularity (100% transactional detail), timeliness (near real-time, not last week鈥檚 batch) and context (preserved relationships鈥攑urchase orders to vendors, funds to appropriations, payroll to projects).
Traditional ETL gives you the opposite of a data brain: summarized, stale data stripped of business logic. When you layer AI on top of it, the model fills in the gaps鈥攁nd for Government finance, that鈥檚 not a technical problem. If an AI-assisted answer can鈥檛 be traced back to the exact transaction, your auditors and oversight bodies won鈥檛 accept it.
That鈥檚 how you get hallucinations instead of financial intelligence.
The 鈥淎I problem鈥 and the 鈥渄ata problem鈥 in Government finance are actually the same problem. Build the data brain, and Unified Financial Intelligence follows.
What Changes When You Have a Data Brain
Take a Federal civilian agency we worked with: 24-hour data refresh cycles, manual reconciliation, spreadsheets and email chains just to close the books. Analysts spent most of their time getting data into a usable format鈥攏ot using it.
After implementing Incorta with Google Cloud, that agency went from 24-hour to 15-minute data refreshes for key financial subject areas.
From periodic close to continuous audit. Anomalies surface in near real-time鈥攂efore they snowball, not after month-end.
From 鈥渃heck the dashboard鈥 to 鈥渇ollow the data.鈥 The CFO questions a number; the analyst drills to the exact transaction, in the same environment.
From data gathering to value creation. Analysts shift from reconciliation to scenario modeling and real decisions.
That鈥檚 Unified Financial Intelligence with a data brain underneath it: full, timely, contextual access to the truth鈥攁nd the time to actually use it.
How Incorta Builds the Data Brain
The traditional path to modernizing financial data in Government is measured in years and eight-figure budgets鈥攁nd most of us have seen how that story ends. At Incorta, we took a different approach: build the data brain for Government finance on Google Cloud without requiring agencies to tear out what鈥檚 already there. Three pillars make that possible:
Direct access to ERP data in its native form 鈥 Incorta connects directly to Oracle EBS, Oracle Fusion, SAP and Workday, ingesting data in its native schema鈥攏o heavy transformation, no lost business context.
Prebuilt blueprints for Public Sector financial systems 鈥 A library of prebuilt blueprints captures how ERP tables relate, how funds and projects are structured and how to translate that into analytics-ready models鈥攔emoving months of data engineering work.
Landing it all in Google BigQuery for AI-ready analytics 鈥 The result is a production-ready financial data brain in Google BigQuery鈥攇ranular, near real-time and fully contextualized鈥攕tanding up in weeks, not months or years, with Gemini for Government and agentic AI tools ready to operate on top.
On top of this, Incorta layers AI-powered insights with built-in hallucination mitigation, role-based access controls, audit trails and mirrored source system permissions鈥攕o agencies can scale AI without sacrificing governance.
探花视频 plays a crucial role in this story by making it easy for agencies to get started鈥攖hrough existing contract vehicles and the Google Cloud Marketplace鈥攚ithout embarking on another risky, bespoke IT project.
Where State, Local, Education and Federal Civilian Finance Teams Are Starting
State budget offices need real-time visibility into appropriations and fund balances鈥攕o leadership responds to revenue shifts, not monthly reports. Local Governments want to move from reactive spreadsheets to proactive scenario planning and cleaner audits. Education finance teams need unified views of budgets, grants and financial aid to navigate enrollment volatility. Federal civilian CFO offices are pursuing continuous close and early AI-driven detection of fraud, waste and abuse. In every case: build the data brain first, and the downstream AI use cases become operational, not experimental.
Getting Started Doesn鈥檛 Have to Be a Multi-Year Commitment
One of the most consistent concerns I hear is: 鈥淲e鈥檝e been burned by big data projects before. We can鈥檛 sign up for another multi-year transformation.鈥 That hesitation is completely rational鈥攁nd it鈥檚 exactly why we鈥檝e structured our approach with Google and 探花视频 to deliver value in weeks, not years.
A practical entry point is a Unified Financial Intelligence Modernization Assessment鈥攁 focused engagement to assess your ERP landscape, map how your data lands in BigQuery (secure, governed, auditable) and define a 60- to 90-day outcome that shows what the data brain delivers in your environment.
Incorta is available through 探花视频 on the Google Cloud Marketplace鈥攎ost agencies can use existing contracts and cloud commitments to get started, no new RFX required.
The Bottom Line
State, Local, education and Federal civilian finance teams don鈥檛 need another dashboard. They need the data brain that makes Unified Financial Intelligence possible鈥攁ccess to all of their financial data, in near real-time, with full business context, so they can shift from gathering data to actually using it.
That鈥檚 what Incorta, Google and 探花视频 are building together for Government. In an environment where agencies are being asked to do more with less, standing up that data brain in weeks rather than years isn鈥檛 just a nice-to-have. It鈥檚 the difference between a finance function that鈥檚 keeping up and one that鈥檚 falling behind.
鈫 Request a live Agentic AI demo 鈥 see Incorta + Google in action on your mission data.
鈫 Try free for 30 days on Google Cloud Marketplace 鈥 software free; infrastructure costs may apply.
鈫 Get started with the Unified Financial Intelligence Modernization Assessment 鈥 map your data brain and define a 60- to 90-day outcome.
Ready to explore what real-time financial intelligence looks like for your agency? Learn more about Incorta鈥檚 Government solutions on 探花视频鈥檚 Incorta microsite. Watch our joint Incorta + Google session on AI-ready financial data for Public Sector.
Contact the 探花视频 Team 鈽 (703) 871-8548 | 鉁 incorta@carahsoft.com
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聽Incorta, 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聽探花视频 Blog聽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.
Why visibility, automation and collaboration are now mission-critical
Federal Security Operations Center (SOC) teams are under relentless pressure. Teams are increasingly stretched thin as agencies grapple with AI-enhanced threats, Zero Trust requirements and operational mandates like FISMA 2.0. Despite limited staff and growing workloads, though, the mission remains clear: defend critical infrastructure, secure sensitive data and maintain compliance.
For split-second contexts in the face of critical alerts, fragmented tools and siloed data only make matters worse. Analysts lose time switching between platforms. Revalidating and responding to quickly escalating threats takes time away from mission continuity.
Federal SOCs require integrated, intelligence-driven platforms that support end-to-end threat visibility, rapid response and secure information sharing.
Modern Federal SOCs Face Mounting Challenges
Staffing shortfalls are now a systemic issue. unfilled roles globally, with Federal agencies competing for a shrinking pool of qualified professionals.
Meanwhile, tool sprawl and console fatigue complicate workflows. Analysts must juggle multiple platforms to correlate data, validate incidents and track lateral movement all while meeting increasingly complex compliance reporting mandates.
Agencies must also contend with:
AI-generated malware that evades signature-based detection
Expanding attack surfaces from hybrid environments and remote endpoints
Escalating compliance expectations tied to FISMA modernization, OMB M-24-14 and Zero Trust architecture maturity
To keep pace, teams need tools that consolidate, correlate and streamline.
Real-time Response Enhances SOC Agility
Threat impact is defined by the time it takes to respond properly. Delayed containment leads to higher costs and increased exposure. That鈥檚 why real-time response is now essential to any defensible cybersecurity posture.
Modern endpoint detection and response (EDR) platforms allow teams to:
Isolate compromised endpoints instantly
Terminate malicious processes at the source
Prevent data exfiltration in-flight
Apply automated playbooks for repeatable, standards-based remediation
These capabilities reduce manual intervention and align with CISA鈥檚 SOAR guidance, enabling SOCs to act swiftly within a Zero Trust model. For Federal teams, this also supports audit-readiness with timestamped forensic records that meet FISMA and OMB compliance requirements.
Unified Telemetry Accelerates Threat Hunting
Siloed data weakens an analyst鈥檚 ability to detect patterns and perform deep investigations. By unifying endpoint telemetry across devices and environments, teams gain access to richer datasets and longer retention windows for root cause analysis.
Carbon Black EDR captures high-fidelity endpoint activity and retains up to 180 days of telemetry, letting teams uncover threats that may have originated weeks or months prior.
With behavior-based analytics, SOCs can move past static signatures and detect anomalies faster. This involves pinpointing lateral movement, privilege escalation and indicators of compromise before damage escalates.
Collaboration and Data Sharing Reduce Operational Risk
Cybersecurity is a team sport, but without integrated data sharing, even the best defenses can fall short. Fragmented environments limit visibility, making it difficult to act on shared intelligence across tools and agency teams.
Integrated platforms streamline threat intelligence sharing through features such as:
The Carbon Black Data Forwarder, which simplifies integration with SIEM/SOAR platforms
API-driven data sharing that supports automation and collaboration
Compatibility with Zero Trust frameworks, particularly the Device Pillar of OMB M-24-14
With cross-environment visibility and collective learning, SOC teams can improve incident response while advancing cybersecurity maturity across the agency.
Work Smarter, Not Harder
Federal SOCs face high-stakes situations where time and clarity are critical and impact lives in real time. Every alert demands focus. Every decision must be defensible. To operate effectively under pressure, teams need platforms that reduce noise, unify workflows and enable smart action.
Carbon Black and 探花视频 help Federal teams do more with less. We empower analysts with the real-time insights and interoperability they need to protect what matters most.
Contact us to learn how your agency can simplify threat detection, response and collaboration with .
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聽Broadcom, 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聽探花视频 Blog聽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.
After 2020, the landscape of corporate real estate changed dramatically. Companies across multiple sectors, including technology, transitioned from working in office to either hybrid or totally remote models. Vacancy rates on corporate campuses increased to 15-20%, opening companies up to a multitude of liabilities and operational challenges. Artificial intelligence (AI) has brought a new edge to vacant building security. Smart guarding and solar guards elevate the security posture of vacant buildings, defend corporate assets and subsequently deliver a Return on Investment (ROI) through effective security measures.
Risks of Vacant Building Stewardship
Vacant buildings come with a series of unique risks to the company that either owns or leases the building. These locations are particularly attractive for criminal activity, especially trespassing and vandalism. Companies also face other risks such as copper theft and squatting that result in higher insurance claims, causing rising premiums. Further challenges come from the range in potential responses from law enforcement. The crime rate in the area will greatly affect how quickly police respond to the call, or whether they will respond at all if there is not an active incident.
Traditional security models for vacant buildings rely heavily on human patrols and come with their own operational drawbacks. A commonly used term in security, 鈥渨arm bodyguards,鈥 describes guards that are physically present but only do the bare minimum required to complete the job; in other words, these guards are just a warm body whose physical presence alone is deemed to be enough to deter criminal activity. Depending on the size and scope of the campus, these security measures can cost up to $25,000 per month. The ROI is negligible at best, and companies are often left with an expensive yet ineffective security protocol.
With property vacancy on the rise, companies need a solution that is cost effective but does not sacrifice protection or increase their risk profile. That solution lies in the integration of cutting-edge technology with human security.
The Modern Security Guard: Smart Guarding and Solar Guard
Prior to the existence of AI, the Silicon Valley Model sought to enhance building security by combining electronic access control in a building with a fleshed out in-person security protocol. This gives companies the opportunity to employ security guards with relevant prior experience, such as ex-law enforcement and ex-military members, who have effective communication and customer support skills. The key to success is a combination of the right people on site and the proper technological processes in place.
Sentry AI鈥檚 Smart Guarding takes this approach a step further by integrating AI agents into the security protocols. A various range of sensors are installed across the building. These can include:
Cameras
Microphones
Motion sensors
Turnstiles
Fire detection (smoke detectors, heat detectors, etc.)
With the number of sensors that exist in a singular building, a Security Operations Center (SOC) analyst can get easily overwhelmed by the sheer volume of alerts. An AI agent established at the core of this alert system can absorb the information, interpret the incoming data and pass on the relevant security alerts to the SOC analysts.
The AI agent itself can also be proactive and mitigate ongoing security risks. The AI can impersonate a human guard, using any language, tone of voice or even slang if required. By voicing details such as the intruder鈥檚 clothing or appearance, the agent creates the impression of an on-site security guard without actually engaging physically with the intruder. After announcing a security presence, the agent will tell the intruder to leave and threaten police intervention if they do not. The agent can also activate sirens and lights to trigger a flight response from the intruder. This is all managed without human intervention.
Periodically, companies need to install a security solution that does not rely on the network, property owner or landlord. Sentry AI has the Solar Guard solution for these exact situations. The Solar Guard is a self-contained mobile unit with a tall mast and several solar panels. Energy collected throughout the day is stored in batteries contained within the unit to power it throughout the night or in adverse weather conditions. At the top of the mast, the Solar Guard has lights, speakers, a cellular modem and dual lens cameras that give a 360-degree field of vision.
As vacancy rates in corporate buildings continue to climb, companies continue to search for new impactful and cost-effective ways to improve their security posture in their buildings. AI-powered security protocols such as Solar Guard and Smart Guarding decrease the risk to personnel and cut through alert fatigue. By combining modern technological advancements with knowledgeable SOC analysts, companies gain ROI and protect their assets when personnel are not present.
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聽Sentry AI, 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聽探花视频 Blog聽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.
