AI coding agents select vulnerable or non-existent packages at alarmingly high rates, and standard scanning tools (npm audit, common CVE scanners) fail to detect sophisticated supply chain attacks in time — with industry average detection at 267 days versus attacker execution in hours. Agent-driven code generation has become a high-value attack vector with no adequate safeguards for dependency integrity, hallucinated package references, or coordinated patch deployment. A marketplace-scale verification and auditing layer is needed that covers the full dependency graph of agent-generated code.

AI coding agents pull in vulnerable, deprecated, or hallucinated packages with no real-time verification, and existing scanners detect attacks 267 days too late — leaving every agent-generated codebase exposed.

Engineering leads and DevSecOps teams at companies using Copilot, Cursor, Devin, or custom coding agents to generate production code at scale.

Companies already pay $50-500K/yr for Snyk, Socket.dev, and Sonatype — but none of these are designed for agent-speed, agent-volume dependency decisions; the gap is acute and the attack surface is growing weekly as agent adoption accelerates.

MVP is an API/proxy that sits between coding agents and package registries (npm, PyPI, crates.io), performing real-time attestation checks (package existence, maintainer reputation, behavioral analysis, known-vuln cross-ref) and blocking hallucinated or suspicious packages before install — ship as an MCP tool server and CLI hook in 6-8 weeks.

Software supply chain security is a $3B+ market growing 15%+ annually, and agent-generated code could represent 50%+ of new dependencies within 2 years, making the agent-specific slice a $1B+ opportunity.