Insights

2025 Top 100

<p> <style type="text/css"><!--br {mso-data-placement:same-cell;}--> </style> The annual Top 100 ranks the largest prime contractors in the federal market, analyzing their strategies, key wins, and customer demand. It highlights market trends and how top companies adapt to stay ahead.</p>

AI and cloud help government proactively fight fraud

<p>As agencies continue to modernize their fraud prevention strategies, it&rsquo;s clear that the traditional retrospective model is no longer sufficient. The future lies in real-time, data-driven insights that proactively identify and address fraud before it causes harm.</p>

AI Runtime Security

<p>Enterprise AI applications face an evolving threat landscape. Organizations are rapidly adopting AI into their applications to help with tasks such as customer service and increasing employee productivity. However, these AI applications face AI-specific threats that traditional security solutions can&rsquo;t help protect.</p>

Future of Tech Infrastructure

<p>What does the future hold for technology infrastructure as states and localities manage moving to the cloud while balancing their on-prem facilities?</p>

Laying the groundwork: Four pillars for trusted AI in state and local government

<p>State and local government agencies&nbsp;are under growing pressure to modernize. Legacy infrastructure, rising cyber threats, workforce constraints and public demand for more responsive digital services all point to the need for innovation.</p> <p>AI has emerged as a powerful tool to help agencies scale services, improve efficiency and deliver better experiences &mdash; if implemented responsibly.</p> <p><br /> According to Rob Paris, senior director and solutions engineer at Cisco, a successful AI journey begins with a solid foundation. He outlined four core principles agencies should follow, and discussed how Cisco has embedded these principles into its AI strategy to ensure adoption is safe, strategic and sustainable.</p>

How Trend Micro’s Threat Intelligence is Powering Government Security

<p>In this interview, Jon Clay, VP of Threat Intelligence at Trend Micro, discusses the company&rsquo;s collaboration with the FBI, DoD, CISA and other federal agencies to share threat intelligence, support investigations, and proactively report vulnerabilities. He highlights the evolving cyber threat landscape, including espionage, critical infrastructure attacks, and AI-driven threats. Clay also outlines recommended defense strategies and emphasizes Trend Micro&rsquo;s global visibility and early detection capabilities as key differentiators.</p>

How Your Agency Can Use Data, Analytics, and AI to Modernize and Improve Investigations

<p>The rapid advancement of AI is providing new opportunities for government agencies to streamline investigations, automate time-consuming processes, strengthen existing systems and services, and make it easier for investigative teams to detect and investigate financial crime, fraud, and other illicit activities.&nbsp;</p> <p>However, siloed data and poor data quality impedes the ability of agencies to improve decision-making, so it&rsquo;s critical that agencies get data ready for AI to drive effective and efficient investigations.&nbsp;&nbsp;</p> <p>With advanced Entity Resolution and Knowledge Graphs, Quantexa&rsquo;s Decision Intelligence Platform ensures your data is prepared for AI and optimized for teams to act on it confidently.</p> <p><strong>In this e-book, you&rsquo;ll:&nbsp;</strong></p> <ul> <li> <p><strong>Discover</strong> the positive impact of quality data on all types of investigations, including money laundering, fraud, corruption, tax evasion, human trafficking, and terrorist financing.&nbsp;</p> </li> <li> <p><strong>Learn</strong> how to improve investigations by leveraging data-driven insights&nbsp;&nbsp;</p> </li> <li> <p><strong>See</strong> how the U.K. Cabinet Office and Belgian Tax Authority have used Quantexa&rsquo;s Decision Intelligence Platform to uncover fraudulent activity &nbsp;</p> </li> <li> <p><strong>Compare </strong>a typical multi-agency investigation with and without Quantexa&rsquo;s Decision Intelligence Platform&nbsp;&nbsp;</p> </li> <li> <p><strong>Understand </strong>how Decision Intelligence drives better decision-making with Entity Resolution, Knowledge Graphs, and AI copilots like Q Assist</p> </li> </ul> <ul> </ul>

Building Resilience: Exploring Smart Infrastructure and Its Security

<p>Smart infrastructure, which converges the cyber and the physical aspect of a system, is revolutionizing the way that people, technology, and infrastructure function together. Integrating digital technologies into physical infrastructure can enhance efficiency, sustainability, and quality of life through results like traffic-reduced congestion, lower energy consumption, and improved community services.</p> <p></p> <p>However, as connected sensors, equipment, and data become more prevalent in the cyber-physical landscape, they create additional entry points for potential security threats. These vulnerabilities extend beyond just manufacturers and include inadequately trained operators, inaccurate processes, and even compromised equipment deliberately inserted in the supply chain at low prices to attract budget-strapped buyers. How can adopters of smart infrastructure, from individual providers to cities that depend on multiple smart systems, recognize and mitigate risk while still driving innovation?</p>

How to prepare your agency for responsible AI adoption

<p>The federal government is under pressure to move faster, cut costs and prove impact. As the White House prioritizes military readiness, border security and boosting efficiency, agencies must still deliver secure digital services, resilient infrastructure and tangible results.</p> <p>At a recent roundtable hosted by Cloudflare and ATARC, government and industry IT leaders laid out what&rsquo;s blocking real progress. Governance is stalled. Shadow AI is already in play. Data policies haven&rsquo;t kept up. And public trust hinges on getting digital services right &mdash; fast, secure and reliable.</p>

Adapting to AI-driven bot threats

<p>Bots were once simple tools &mdash; tiny bits of code built to automate menial digital tasks. But today&rsquo;s bots are far from basic. In fact, many are dangerously intelligent. Today&rsquo;s AI-powered bots use machine learning and natural language processing to better understand and interact with systems, bypassing traditional security defenses like CAPTCHA with higher sophistication.</p> <p>Bots increasingly target government entities whose sprawling digital ecosystems and often outdated security infrastructure present high-value targets for adversaries seeking to disrupt services, steal data or undermine trust. As bots continue to evolve, the risk to the government grows. Combating these threats requires more than reactive defenses. It demands modernization, cross-sector collaboration, and proactive threat intelligence.</p>

Generative AI in the Public Sector: 5 Ways Agencies Can Do More with Less

<p></p> <p>Generative AI is transforming public sector legal workflows - from document review to compliance and investigations. Based on IDC research commissioned by Relativity, this white paper highlights five practical use cases where AI delivers speed, accuracy, and efficiency. With 39% of public sector legal teams already using AI and 61% planning to adopt it, now is the time to explore how your agency can streamline operations and maximize results.</p>

Securing the Operational Edge: Addressing API Risk in the Age of Generative AI

<p></p> <p>For the Department of Defense (DoD), modern mission execution depends on fast, secure, and interconnected systems. APIs have become the backbone of digital interoperability across programs of record, platforms, and cloud environments. Yet as API usage surges&mdash;especially<br /> alongside generative AI (GenAI) integration&mdash;so do attack surfaces and operational vulnerabilities.</p> <p>This white paper, developed by RavenTek and Akamai, explores insights from DoD cybersecurity leaders and offers a strategy to secure APIs as a critical component of mission assurance.</p>

Securing the Invisible Thread: Addressing API Risk in the Age of Generative AI

<p></p> <p>As the government pursues digital modernization, APIs have become the invisible thread stitching together services, applications, and citizen data. Meanwhile, the widespread adoption of generative AI has supercharged the volume and complexity of API calls, accelerating innovation but also expanding the attack surface.</p> <p>This paper explores the risks, insights from federal leaders, and a path forward using the Akamai API Security platform, integrated and supported by RavenTek&rsquo;s cybersecurity and Zero Trust expertise.</p>

The Cross Domain Dilemma: Gaps, Risks, and Roadblocks in Defense Systems

<p>Modern multi-domain operations require fast, adaptable, and secure information sharing across multiple security levels, environments, and commands. Cross domain solutions (CDSs) are essential to enabling this capability&mdash;but current systems aren&rsquo;t keeping pace with mission demands. A survey of defense leaders reveal a clear picture: fragmented data flows, system incompatibilities, and rigid architectures are limiting mission effectiveness. As contested environments intensify and resources tighten, defense leaders are calling for CDS capabilities that are secure, interoperable, and designed for real-time adaptability&mdash;at every echelon of command.</p>

Countdown to zero trust: How defense agencies can tackle the 2027 mandate

<p>WITH THE DEPARTMENT OF DEFENSE&rsquo;S SEPT. 30, 2027, zero trust deadline on the horizon, defense agencies have just two years to revolutionize their approach to cybersecurity. While this may seem like a significant runway, it&rsquo;s important for agencies to begin thinking seriously about modernizing systems now, especially because implementing zero trust is about more than just updating an agency&rsquo;s tech stack &mdash; it&rsquo;s about fundamentally changing approaches to securing data, systems and operations across all environments.</p> <p>So, what do defense organizations need to think about as they look to build the foundations of zero trust into their IT policies and infrastructures? In a recent event sponsored by Maximus, experts from across government and industry sat down with GovExec TV Executive Producer George Jackson to discuss the foundations for cybersecurity overhauls and ways defense agencies can begin gathering the essential elements they need for zero trust, as well as potential hurdles along the way.</p>

Empowering Today’s Government

<p><strong>The Role of Private Connectivity Fabric in Achieving Agility and Resilience</strong></p> <p>Change is a certainty in the federal government, from cyber threats by nation-states to the needs of U.S. citizens. In response, federal CIOs are being asked to show greater agility and resilience as the workforce is restructured, the need to adopt AI grows, and legacy systems continue to age and require updating to meet the needs of tomorrow. To help address these challenges, modernized, resilient networks are urgently required&mdash;to ensure uninterrupted communication and information flow, and to support an effective data strategy in an increasingly data-driven era.</p>

Uncovering the true state of digital government

How does your agency stack up against others in digital modernization?

A buyer’s guide to AI in government

<p></p> <p>Mission-critical decisions leave no room for guesswork. Secure, scalable AI built for the complexity of federal operations keeps missions on track.</p> <p></p> <p>The AI buyer&rsquo;s guide for federal decision-makers offers a practical framework for evaluating vendors, aligning use cases with mission goals, and scaling AI responsibly&mdash;without sacrificing oversight or compliance.</p> <p></p>

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