Conduit is an on-premises proxy solution for AI coding agents that addresses operational challenges such as shared API key spend attribution and secret leakage risks. It enforces hard per-team spend caps with real-time blocking, performs egress secret scanning to block sensitive credentials (e.g., AWS keys, private keys, tokens) before they leave the network, and maintains an append-only audit log containing only metadata about requests. The proxy supports multiple upstream providers (Anthropic, OpenAI, Bedrock, Azure) and integrates with existing deployments like LiteLLM and Portkey. It is designed to run in Docker with Postgres, Redis, and ClickHouse, and emphasizes security posture through signed container images, SBOM attestations, and cryptographic protections. The project is open-source and currently lacks enterprise-grade certifications and advanced governance features but aims to fill gaps in cost attribution, egress control, and audit readiness for AI coding agent usage.

Conduit mitigates operational risks related to uncontrolled spending on AI coding agent APIs and the accidental or malicious leakage of sensitive secrets in outbound requests. By enforcing hard spend caps and blocking requests containing secrets before they reach providers, it reduces financial exposure and data leakage risks. The metadata-only audit log supports compliance and auditing without storing sensitive prompt or completion data. However, it is not a vulnerability or exploit itself but a security control tool. There are no known exploits in the wild related to Conduit, and it does not introduce direct vulnerabilities based on the provided information.

This is not a vulnerability but a security control solution. Users interested in controlling AI coding agent spend and egress governance can deploy Conduit as described in its documentation. Since it is open-source and self-hosted, organizations should follow the installation and configuration guides to implement it securely. No patch or remediation is applicable. Users should verify container image signatures and review the security posture documentation before deployment. Advanced governance features and enterprise certifications are planned but not yet available, so organizations should assess if Conduit meets their compliance requirements before adoption.