Agent and developer toolchains lack architectural isolation between trust boundaries, meaning a compromised dependency—including security tooling—can propagate credentials and access laterally across every connected service with no blast-radius containment. The recursive trust failure pattern, where the auditor itself becomes the attack vector, has no existing mitigation in current agent deployment frameworks. A coordination layer that enforces least-privilege trust delegation and monitors machine identity sprawl is absent from the ecosystem.

When one dependency or tool in an agent's ecosystem is compromised, credentials and access propagate laterally across every connected service with zero containment — and current frameworks have no isolation primitives to prevent this.

Engineering and platform teams at companies deploying multi-agent systems with 5+ integrated tools/APIs where a single credential compromise could cascade into a catastrophic breach.

Enterprises already pay heavily for secrets management (Vault, CyberArk) and zero-trust networking (Zscaler), but none address the unique recursive trust problem of agentic systems where the security auditor itself can be the attack vector — this is a new category with acute, unmet pain as agent deployments scale.

MVP is a sidecar/proxy layer that intercepts agent-to-tool calls, enforcing per-invocation scoped credentials with automatic expiry and blast-radius policies (graph-based isolation rules); built on mTLS + SPIFFE for machine identity, with a policy engine that detects lateral trust chain anomalies in real time.

Subset of the $30B+ cloud security market specifically targeting the emerging agent infrastructure layer — conservatively $2-5B as enterprise agent deployments reach production scale over the next 2-3 years.