Capital One Open-Sources AI Security Tool VulnHunter
Capital One, one of the largest US financial institutions, operates in an industry where software flaws can expose sensitive customer data and trigger significant regulatory risks. As banks accelerate their use of generative AI and automated development tools, identifying exploitable weaknesses before code reaches production has become an increasingly important part of cybersecurity, compliance and technology-risk management.
Capital One has open-sourced VulnHunter, an agentic AI security tool designed to scan software source code while emulating how a hacker might look for weaknesses. The release gives outside developers and security teams access to the technology and could help them identify and remediate vulnerabilities earlier in the development cycle. The available event information did not specify an exact release date, investment amount or numerical performance benchmarks.
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The history behind this eventAI Security Startup Depthfirst Outperforms Anthropic, Finds Major Flaws at One-Tenth the Cost
Anthropic launched its Claude Mythos Preview cybersecurity model on April 7, 2026, saying it could identify high-risk vulnerabilities in major operating systems and browsers. NGINX, Linux and Chrome are central to internet infrastructure. If AI can reduce the cost of finding vulnerabilities, it could reshape the defensive model of open-source projects that have long relied on manual review and limited maintenance resources.
Depthfirst said on May 12, 2026, that it had found vulnerabilities in NGINX, Linux and Chrome that Mythos missed. The NGINX flaw had remained undetected for 18 years since 2008, and F5 patched it on May 13. Depthfirst's computing cost was about $1,000, one-tenth of the $10,000 reported by Anthropic. The startup also launched the Open Defense Initiative, offering $5 million in credits.
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