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| ![]() Vindicara Launches the First Open-Source Runtime Security Platform for AI AgentsProject AIR delivers 14 security detectors, cryptographically signed forensic records, and a four-layer trust architecture, MIT-licensed on PyPI
By: Vindicara AI agents are being deployed across enterprises at scale, yet runtime security remains an afterthought. Existing tools monitor model inputs and outputs but ignore the agent itself: the tools it calls, the decisions it makes, the data it exfiltrates. Project AIR closes that gap by recording every agent action as a cryptographically signed forensic record, called a Signed Intent Capsule, then running real-time detection and producing audit-ready evidence. Project AIR ships with 14 security detectors covering all 10 categories of the OWASP Top 10 for Agentic Applications (ASI01 through ASI10), three categories from the OWASP Top 10 for LLM Applications (prompt injection, sensitive information disclosure, model denial of service), and one chain-integrity check native to the platform. The platform is built on a four-layer trust architecture. Layer 1 anchors forensic chains to public transparency logs (Sigstore Rekor and RFC 3161 timestamp authorities) "Security teams have flight recorders for servers, networks, and endpoints, but nothing for the AI agents making autonomous decisions on their behalf," said Kevin Minn, founder of Vindicara. "Project AIR gives every agent deployment a tamper-evident, cryptographically verifiable chain of custody from the first LLM call to the last tool invocation." End
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