<p>The federal workforce is facing unprecedented upheaval in 2025 as the Trump administration pushes to cut over 107,000 jobs, revive controversial policies like Schedule F, and reshape hiring practices—all amid mounting legal battles and growing uncertainty for employees.</p>
<p>As the U.S. military faces a rapidly evolving threat landscape, the modernization of its infrastructure has become a strategic imperative. To ensure mission continuity, energy security, and national defense readiness, military infrastructure must undergo a transformation centered around sustainability and electrification.</p>
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In July and August 2024, Market Connections and Gordian partnered to design an online survey of 120 defense and 80 civilian government employees - the goal being to identify challenges and barriers surrounding policy implementation of SRM programs and electrification, and to understand the perceived threats and benefits to climate resilience and electrification in the federal government.</p>
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This white paper explores these dynamics in detail—outlining where government agencies stand, what’s holding them back, and how trusted, FedRAMP-certified partners like Gordian can help them move from assessment to action.</p>
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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>
<p>As agencies continue to modernize their fraud prevention strategies, it’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>
<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’t help protect.</p>
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The federal government is on the hook to both drive innovation in and ensure the safety of artificial intelligence systems under the directives of a recent executive order. This will highlight AI’s impact on the federal workplace and workforce.</p>
<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>
<p>State and local government agencies 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 — if implemented responsibly.</p>
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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>
<p>In this interview, Jon Clay, VP of Threat Intelligence at Trend Micro, discusses the company’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’s global visibility and early detection capabilities as key differentiators.</p>
<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. </p>
<p>However, siloed data and poor data quality impedes the ability of agencies to improve decision-making, so it’s critical that agencies get data ready for AI to drive effective and efficient investigations. </p>
<p>With advanced Entity Resolution and Knowledge Graphs, Quantexa’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’ll: </strong></p>
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<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. </p>
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<p><strong>Learn</strong> how to improve investigations by leveraging data-driven insights </p>
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<p><strong>See</strong> how the U.K. Cabinet Office and Belgian Tax Authority have used Quantexa’s Decision Intelligence Platform to uncover fraudulent activity </p>
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<p><strong>Compare </strong>a typical multi-agency investigation with and without Quantexa’s Decision Intelligence Platform </p>
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<p><strong>Understand </strong>how Decision Intelligence drives better decision-making with Entity Resolution, Knowledge Graphs, and AI copilots like Q Assist</p>
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<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>
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<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>
<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’s blocking real progress. Governance is stalled. Shadow AI is already in play. Data policies haven’t kept up. And public trust hinges on getting digital services right — fast, secure and reliable.</p>
<p>Bots were once simple tools — tiny bits of code built to automate menial digital tasks. But today’s bots are far from basic. In fact, many are dangerously intelligent. Today’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>
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<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>
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<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—especially<br />
alongside generative AI (GenAI) integration—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>
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<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’s cybersecurity and Zero Trust expertise.</p>
<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—but current systems aren’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—at every echelon of command.</p>
