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Capital One Launches Open-Source VulnHunter Agentic AI Code Security Tool
Capital One has released VulnHunter, an open-source agentic AI tool that identifies exploitable software vulnerabilities by reasoning like an attacker rather than scanning for patterns, reducing false alerts and enabling developers to focus on confirmed, remediable defects. The tool uses a falsification engine to validate findings and maps complete attack paths before presenting results to engineering teams.
This Wire brief sits within Fusion42's coverage of AI Agents, Cybersecurity and Developer Tools. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.
The Wire takeaway
If you build code security, vulnerability scanning or developer security tooling, Capital One just raised the bar: a major bank has released a production-tested agentic AI tool under open source that cuts false positives and maps real attack paths. Your customers now have free proof that AI-first reasoning beats pattern-matching; you need to compete on speed, integration or depth, not on whether AI can do this.
Read the full story at pulse2.com →
Topics: AI Agents · Cybersecurity · Developer Tools · code-security · agentic-ai · vulnhunter · open-source · developer-tools