The CVE Researcher is a multi-agent AI pipeline that automates vulnerability research, detection template generation, and exploitation analysis. Built on Google’s Agent Development Kit (ADK), it coordinates specialized AI models through four phases — deep research, technology reconnaissance, actor-critic template generation, and exploitation analysis — to produce production-ready Nuclei detection templates overnight. Beyond Simple Automation The post How AI Agents Automate CVE Vulnerability Research appeared first on Praetorian.

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Praetorian's CVE Researcher is a multi-agent AI pipeline built on Google's Agent Development Kit (ADK) that automates end-to-end CVE vulnerability research. The pipeline runs through four phases: deep research using OpenAI's o4-mini-deep-research model, technology reconnaissance correlating CVE data against organizational assets, actor-critic template generation producing validated Nuclei detection templates, and exploitation analysis from an offensive perspective. For critical vulnerabilities (CVSS 9.0+), the system automatically opens pull requests and creates review tickets overnight. Key design lessons include task decomposition across specialized agents, multi-provider model fallbacks for reliability, and iterative actor-critic refinement that typically requires 2-3 loops to reach production quality. Human oversight remains essential for deployment decisions and contextual judgment.