AI Companies Like OpenAI and Anthropic to Play Bigger Role in CVE Program, Says CISA
The world’s largest vulnerability disclosure scheme is opening its doors wider to artificial intelligence firms. According to a senior leader at the US Cybersecurity and Infrastructure Security Agency (CISA), AI companies like OpenAI and Anthropic should take on a more prominent role in software vulnerability disclosures. This call comes as the Common Vulnerabilities and Exposures (CVE) program braces for an unprecedented surge in reported flaws, driven partly by AI-powered discovery tools.
Speaking at VulnCon26 in Scottsdale, Arizona, Lindsey Cerkovnik, chief of CISA’s Vulnerability Response and Coordination (VRC) Branch, emphasized that AI companies “should be better represented” within the CVE program. As the sole sponsor of the MITRE-run initiative, CISA manages coordinated vulnerability disclosures for thousands of organizations worldwide. Cerkovnik acknowledged that the program has experienced rapid growth in reported vulnerabilities over the past year, and the evolution of AI platforms will likely accelerate that trend. “With the arrival of new AI tools, some helping discover valid vulnerabilities, others perhaps finding things with less value, we’re at a turning point,” she said.
Why AI Companies Are Key to Vulnerability Disclosures
The push for AI companies to join the CVE program comes at a critical moment. Just days before Cerkovnik’s speech, Anthropic launched Claude Mythos Preview, a large language model (LLM) designed to autonomously find and fix cybersecurity vulnerabilities at scale. Currently available only to the 40 members of Project Glasswing, the model allegedly discovered thousands of zero-day vulnerabilities during testing, including several in the Linux kernel that could allow attackers to escalate from ordinary user access to complete control of a machine.
Similarly, OpenAI released GPT-5.4-Cyber on April 14, a version of its GPT-5.4 model fine-tuned for cybersecurity use cases and available exclusively to members of its “Trusted Access for Cyber Defense” program. These developments highlight the growing role of AI in vulnerability research. However, researchers at the UK’s AI Security Institute (AISI) noted that after testing Mythos Preview, they “cannot say for sure” whether it would successfully attack “well-defended systems.” This caution underscores the need for responsible disclosure practices.
CVE Program Faces Record Growth in 2026
The CVE program already counts 327,000 unique records to date, and the pace of disclosures is accelerating. Jerry Gamblin, principal engineer at Cisco Threat Detection and Response, observed that 18,247 vulnerabilities were reported in the first quarter of 2026 alone, a 27.9% increase from the same period in 2025. On average, 174 CVEs are reported daily this year, compared to 132 in 2025.
In February 2026, the Forum of Incident Response and Security Teams (FIRST), which co-hosts VulnCon with the CVE program, forecast a record-breaking 50,000 additional CVEs in 2026. Gamblin expects even higher numbers, predicting 70,135 CVEs by year’s end, a 45.6% growth rate from 48,171 in 2025. This surge is partly driven by AI tools that can identify vulnerabilities faster than traditional methods. Therefore, integrating AI companies into the CVE program could help manage this influx more effectively.
AI Companies as Official Vulnerability Reporters
Cerkovnik’s call for closer integration aligns with the CVE program’s broader diversification strategy. In July 2025, the program launched two new forums: the CVE Consumer Working Group (CWG) and the CVE Researcher Working Group (RWG). One key objective is to increase the number of CVE Numbering Authorities (CNAs)—organizations authorized to publicly disclose vulnerabilities and assign CVE identifiers. As of March 2026, the program has over 500 contributors, with 502 CNAs registered.
Diversification also means internationalization, with more European-based CNAs expected to be vetted in the future, according to Nuno Rodrigues Carvalho, head of sector for Incidents and Vulnerability Services at the European Cybersecurity Agency (ENISA). His colleague, Johannes Kaspar Clos, a responsible disclosure expert at ENISA, said he would welcome AI companies becoming CNAs. “We need to include a diverse crowd of cybersecurity practitioners, from product and national CERTs and CSIRTs to researchers and vulnerability finders. Anthropic is one example of a company who identified vulnerabilities and therefore, is of course rightfully mentioned in being a potential CNA,” Clos explained.
However, Clos expressed caution about the speed of AI tool launches. While he welcomed Claude Mythos and similar tools, he said he would have preferred their capabilities to be disclosed “before the products are pushed to the market.” He added, “Security testing should be implemented before users are put at risk.” This sentiment reflects a broader need for responsible innovation in AI-powered vulnerability research.
CISA’s Commitment to the CVE Program
Cerkovnik reaffirmed that the CVE program is “a top priority” for CISA and the US Department of Homeland Security (DHS). She assured that funding for the program is secure, stating, “Contracts and funding for the CVE program are secure. Funding has never been an issue.” However, she noted that DHS remains technically in a shutdown situation, which complicates decision-making at CISA, including spending on outreach activities like her attendance at VulnCon.
Building on this, the CVE program’s expansion to include AI companies could help address the growing volume of vulnerabilities while ensuring responsible disclosure practices. As the cybersecurity landscape evolves, collaboration between traditional vulnerability researchers and AI firms will become increasingly important. For more on CISA’s roadmap, read CISA Launches Roadmap for the CVE Program.
In conclusion, the integration of AI companies into the CVE program represents a natural evolution for the vulnerability disclosure ecosystem. With record-breaking numbers of CVEs expected in 2026, and AI tools capable of discovering flaws at an unprecedented scale, the time is ripe for these firms to become official partners. The challenge will be balancing speed with security, ensuring that innovation does not come at the cost of user safety. For more insights on AI’s role in cybersecurity, check out AI-Powered Vulnerability Research Trends.