By Jon Clay, Vice President of Threat Intelligence, TrendAI™

On April 7, 2026, Anthropic unveiled Claude Mythos Preview, an AI model capable of autonomously discovering and exploiting zero-day vulnerabilities across every major operating system and browser. In a single evaluation run, Mythos found 271 vulnerabilities in Firefox, developed 181 working exploits, and uncovered a 17-year-old remote code execution (RCE) flaw granting root access to unauthenticated attackers. Over 99% of its discoveries remain unpatched.

For U.S. public sector organizations—federal agencies, state and local governments, school districts, and universities—this isn't a distant technology story. It's a direct operational threat. OpenAI and Microsoft have already released comparable AI vulnerability discovery tools (Daybreak and MDASH, respectively), underscoring how rapidly this capability is proliferating across the industry. The window to prepare is closing fast.

The TrendAI™ Zero Day Initiative™ (ZDI) platform, the world’s largest vendor-agnostic bug bounty program, has spent 20 years building the infrastructure to protect organizations in exactly this moment. With more than 19,000 independent researchers, two decades of vendor relationships, and a track record of protecting customers an average of over 90 days ahead of public patches, TrendAI™ ZDI is the trust layer public sector organizations need as AI reshapes the threat landscape. In 2026, TrendAI™ ZDI also introduced the TrendAI™ AI-Enhanced Security, Intelligence, and Research (AESIR) security research platform, which its researchers have been using since 2025 to uncover zero-day bugs in AI infrastructure.

Federal government: Critical infrastructure at the AI crossroads

The threat picture

Federal agencies sit atop every nation-state adversary's target list. From Department of Defense (DoD) networks to Internal Revenue Service (IRS) systems to Department of Energy (DOE) power grid controls, the federal government runs some of the most targeted—and most complex—IT environments on earth.

Mythos changes the calculus in three ways:

• It puts AI-scale zero-day discovery within reach of nation-state adversaries. Intelligence assessments indicate peer adversaries are capable of building Mythos-equivalent models. A peer adversary running continuous AI-powered vulnerability discovery against federal software stacks (Windows, Linux, Cisco, Oracle, SAP) can build a vulnerability stockpile orders of magnitude larger than anything previously achievable. The XZ Utils backdoor would look crude by comparison.
• It compresses exploit windows under agency patch mandates. Agencies must patch vulnerabilities listed in the Cybersecurity and Infrastructure Security Agency (CISA) Known Exploited Vulnerabilities (KEV) catalog within strict deadlines (often two to 15 days for critical systems). When AI can discover and weaponize vulnerabilities in hours rather than months, the gap between discoverable and actively exploited shrinks to near-zero. Agencies relying solely on public patch cycles will always be a step behind.
• It exposes industrial control system (ICS), supervisory control and data acquisition (SCADA), and operational technology (OT) environments where adversaries hold the advantage. Mythos may be weakest on ICS, medical firmware, and bespoke infrastructure—precisely the systems powering federal dams, water treatment plants, and military installations—but adversaries with domain expertise will use AI as a force multiplier in areas where Anthropic's own system can't defend against them.

State and local government: AI-powered threats at scale

The threat picture

State and local governments have long been frequent targets, but Mythos changes the nature of the threat, not just its volume. Two dynamics stand out:

• Mythos democratizes elite techniques that previously required years of specialized expertise. As AI lowers the barrier, threat actors who once relied on phishing and known vulnerabilities will gain access to novel, unpatched ones.
• It hits hardest where resources are thinnest. The average county government runs IT with a fraction of federal resources, and when the exploit window compresses from months to hours, delayed patching isn't just a risk—it's a certainty of compromise.

Education: High-value targets, high-risk exposure

K-12

K-12 districts are among the fastest-growing targets for cyberattacks. The Federal Bureau of Investigation (FBI) and CISA have both issued specific warnings, and major districts (Los Angeles Unified, Des Moines, Minneapolis) have faced operational shutdowns and recovery costs in the tens of millions.

Districts that were already struggling to patch known vulnerabilities now face adversaries with nation-state-level technical capability at criminal-group prices. Student data protected under the Family Educational Rights and Privacy Act (FERPA), operational continuity, and the platforms districts depend on—such as Google Workspace, Microsoft 365, common student information systems (SIS), and learning management systems (LMS)—all become higher-value targets when exploit supply increases and costs drop.

Higher education

Universities are simultaneously home to cutting-edge research in AI, biodefense, and national security, yet are among the most open, hardest-to-secure network environments in the country. Mythos creates three escalating risks:

• A peer adversary with Mythos-equivalent AI can continuously probe university perimeters, building access to research databases, faculty email, and laboratory networks. Reconnaissance that once required significant human investment becomes continuous and automated.
• Universities holding DoD research contracts must meet Cybersecurity Maturity Model Certification (CMMC) standards, which require documented vulnerability management and demonstrable patching velocity. AI-scale vulnerability discovery makes meeting those requirements harder and more urgent.
• University medical centers and labs operate systems adjacent to ICS environments—imaging networks, genomic sequencing platforms, laboratory controls—that share the same exposure as traditional OT environments.

 The fundamental challenge: open networks, federated IT governance, and academic openness exist in direct tension with the security discipline the Mythos era demands.

How TrendAI™ ZDI supports the public sector

TrendAI™ ZDI isn't just a threat intelligence feed. It's the trust infrastructure for the AI era of vulnerability discovery and management. Here's how it directly addresses the threats facing each public sector subsector.

Across federal, state and local, and education environments, TrendAI™ ZDI delivers:

• More than 90 days of advance protection on vulnerabilities across every major vendor, giving agencies time to meet CISA KEV deadlines, districts time to schedule maintenance windows, and universities time to maintain CMMC compliance.
• More than 19,000 researchers covering the full software and OT stack, including ICS, medical, and embedded systems where AI-powered discovery may be weakest and adversary interest is highest.
• Public CVE advisories that benefit the entire ecosystem, supporting a whole-of-government and whole-of-sector security posture.
• 20 years of vendor relationships, ensuring responsible disclosure results in patches shipped, not stockpiled vulnerabilities.
• Active AI ecosystem security research through Pwn2Own, giving public sector organizations intelligence on vulnerabilities in the AI tools they are adopting.

What to do now

• Audit your patch latency. Measure the time between CVE publication and deployed patch. If it exceeds 30 days for critical systems, you're already inside the exploit window.
• Inventory ICS, OT, and legacy systems. AI is weakest on industrial controls and bespoke infrastructure, but adversaries with domain expertise will use it as a force multiplier. A comprehensive OT inventory is a critical first step.
• Align patching workflows with TrendAI™ ZDI advisories. Whether you're a federal agency tracking CISA KEV deadlines or a school district managing limited IT staff, aligning with the advisory cadence of TrendAI™ ZDI gives you a structured, auditable process.
• Evaluate your AI security posture. As your organization adopts AI tools, Pwn2Own competitions (including Berlin 2026's AI categories) test the security of AI ecosystem software, providing intelligence no other program generates.

Get started with TrendAI™ ZDI

The AI vulnerability era is here. The question isn't whether to build a more proactive vulnerability management posture; it's whether you do it before or after adversaries weaponize the next generation of AI-discovered zero-day vulnerabilities.

TrendAI™ ZDI is ready to partner with federal agencies, state and local governments, and educational institutions to build the vulnerability management programs this era demands.

Proactive security for government missions: trendmicro.com/en_us/business/solutions/public-sector.html

Contact our Public Sector team for a consultation:

• Federal, state and local: trendmicro.com/Federal-Contact-Us.html
• Education: trendmicro.com/education-contact-request.html

TrendAI™ ZDI Advisories and research: zerodayinitiative.com

About TrendAI™ Zero Day Initiative™: Founded in 2005, TrendAI™ ZDI is the world’s largest vendor-agnostic bug bounty program. Over 20 years, TrendAI™ ZDI has paid out millions in researcher bounties, coordinated disclosure of tens of thousands of vulnerabilities across every major vendor, and protected TrendAI™ customers an average of more than 90 days ahead of public patches. TrendAI™ ZDI runs the Pwn2Own competition series, the global benchmark for offensive security research.