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Research

Capital One releases VulnHunter to automate software vulnerability detection

Capital One has released VulnHunter, an open-source AI tool designed to identify exploitable code flaws before they are discovered by external threats. The tool maps potential attack paths and provides actionable insights for remediation by leveraging large language models to enhance traditional security scanning.

Why it matters

For enterprise teams, this demonstrates the shift towards AI-driven DevSecOps where large language models are integrated into the development pipeline to automate complex security reasoning. It provides a practical framework for using generative AI to secure the platforms being built by development teams.

Key points

  • Automates the identification of exploitable vulnerabilities within complex codebases.
  • Maps end-to-end attack paths to help developers understand the potential impact of a flaw.
  • Open-source availability allows teams to integrate and customise the tool for internal security workflows.

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