Last week, public sector leaders, cyber security practitioners, and technology experts gathered at the International Spy Museum in Washington, D.C. for Check Point Engage Public Sector: Securing the Mission of Public Sector Organizations in a Hyperconnected AI World.

And what was on everyone’s mind?

You guessed it – how federal and other public sector organizations secure mission-critical operations in an era where AI is transforming both cyber security defense and cyber warfare.

What the audience learned across our several superb panel discussions was that AI has definitively become a challenging and fast-evolving battleground in the push and pull between attackers and defenders. And that the public sector must work quickly to evolve from reactive security models to proactive, prevention-first strategies if they want to stay secure from new breeds of AI threats.

The Cost of Missed Signals

In the keynote session, “AI Is the New Battlefield: How Public Sector Leaders Secure What’s Next,” Check Point executives explored how some of history’s most significant crises were not unforeseen events, but rather the result of warning signs that were overlooked or dismissed.

Drawing lessons from intelligence failures preceding both the September 11 attacks and the October 7, 2023 attacks in Israel, speakers highlighted a critical cybersecurity lesson: organizations rarely fail because information is unavailable — they fail because signals are missed, disconnected, or ignored.

Four recurring patterns emerged:

The Containment Illusion occurs when periods of stability create a false sense of security. Organizations assume that because nothing has happened recently, risks have diminished.

Fighting the Last War reflects the tendency to prepare for previous threats rather than emerging ones. Security investments often become optimized for known attack methods while novel threats go unnoticed.

Efficiency Over Resilience highlights the danger of removing redundancy in pursuit of operational efficiency. Highly optimized systems can become vulnerable when faced with unexpected disruptions.

Comfort Over Truth reminds leaders that warnings are frequently ignored because they challenge existing assumptions. Organizations must create cultures where uncomfortable insights can be surfaced and acted upon.

These lessons extend far beyond historical events. They are increasingly relevant in today’s cyber landscape, where attacks unfold at machine speed.

AI Is Reshaping the Threat Landscape

AI is fundamentally changing cyber operations and this impact is being felt acutely by government organizations.

Historically, sophisticated cyber attacks required skilled personnel, significant resources, and extensive coordination. But today’s attacks can be automated using AI across many stages of the attack lifecycle, including reconnaissance, phishing generation, malware development, vulnerability research, and exploitation.

The result is the emergence of what many experts now describe as AI-powered attack factories, highly automated offensive operations capable of running continuously without human fatigue.

AI is collapsing traditional barriers to entry. Advanced capabilities once reserved for nation-state actors are increasingly available to lower-skilled adversaries through AI-assisted tools. This shift is dramatically expanding the pool of capable attackers and increasing pressure on defenders.

Speed has become a defining factor of these AI-driven attacks. Vulnerabilities that once took years to weaponize can now be exploited in hours. As AI accelerates exploit development and vulnerability discovery, organizations face a new reality: defenders must patch and respond faster than attackers can automate exploitation.

Cyber security is no longer simply a contest of tools. It is increasingly a contest of speed, automation, and scale.

AI Is Becoming Core Infrastructure

Another major theme throughout the event was the evolution of AI from a productivity tool into foundational infrastructure.

Across government organizations, AI is moving beyond search and assistance to support mission-critical functions such as security operations, procurement, financial management, planning, intelligence analysis, and strategic decision-making.

The question facing agencies is no longer whether they will operate in an AI-enabled environment, but, rather, whether their security programs are prepared for our new reality.

As AI agents become embedded within business and operational processes, organizations must rethink governance, visibility, and security controls to ensure that innovation does not introduce unacceptable risk.

Securing AI Adoption Responsibly

Several sessions focused on practical approaches for securing AI adoption across government environments. Speakers emphasized the importance of workforce governance, including visibility into which AI tools employees are using, how sensitive data is being shared, and whether approved policies are being followed.

Check Point recommends security leaders establish clear guardrails around AI usage while enabling innovation and productivity. The challenge is not preventing employees from using AI, but ensuring they use it safely and responsibly.

Panelists highlighted the need to secure AI applications themselves from new risks like prompt injection, model poisoning, data leakage, and AI-specific vulnerabilities require dedicated testing and protection strategies. Security controls must extend beyond traditional application security to include protections tailored specifically for large language models and AI systems.

Runtime protections, AI gateways, and continuous monitoring were identified as critical capabilities for organizations deploying AI-driven applications at scale.

Critical Infrastructure Security in a Connected World

Beyond AI, discussions focused heavily on the growing complexity of securing critical infrastructure.

Participants agreed that traditional perimeter-based security models are no longer sufficient in environments spanning cloud services, APIs, operational technology (OT), remote workforces, and AI-enabled systems.

A recurring theme throughout the day was that cyber security must begin with mission outcomes. Security is not solely a technology challenge, but something that must be considered also as a business and operational challenge. Agencies must first understand what they are protecting and why before selecting technologies or frameworks.

Visibility remains foundational. Organizations cannot secure assets they do not know exist, and many continue to struggle with incomplete inventories, fragmented ownership, shadow IT, and limited visibility into operational technology environments. The importance of collaboration between cyber security teams and operational engineers was also emphasized. Successful critical infrastructure protection depends on bridging the gap between those who understand cyber threats and those who understand physical systems and operational resilience.

Building Security Programs for the AI Era

Some of the most impactful and lively panel discussions explored how security operations centers (SOCs) are evolving as AI becomes integrated into defensive workflows.

AI-powered tools are increasingly helping organizations analyze vast volumes of security data, prioritize alerts, identify attack paths, and recommend response actions. Emerging agentic AI systems may soon automate many Tier 1 and Tier 2 security operations functions, allowing human analysts to focus on higher-value decision-making.

However, speakers consistently reinforced that human oversight remains essential. AI should be viewed as augmented intelligence that enhances human expertise, not a replacement for it.

Organizations that successfully combine AI-powered automation with strong governance, clear mission alignment, and resilience-focused planning will be better positioned to manage growing cyber risks despite resource constraints and increasingly sophisticated adversaries.

The Path Ahead

The conversations at Check Point Engage Public Sector 2026 reinforced the idea that security controls and methodologies that worked a few years ago are already well behind in their ability to keep government organizations secure.

As AI accelerates both offense and defense, public sector organizations must focus on detecting weak signals earlier, strengthening resilience, securing AI-driven systems, and leveraging automation to keep pace with increasingly autonomous threats.

Technology alone will not solve these challenges. Success will require visibility, collaboration, governance, and a prevention-first mindset.

In a hyperconnected world where AI is rapidly becoming part of every mission, the organizations that thrive will be those that can recognize emerging risks before they become crises.

And act before today’s warning signals become tomorrow’s headlines.

Missed Engage Public Sector? View the panel replays here. If you’re curious what an agentic attacker would uncover on your external attack surface, you can request a free scan here.