Stack Vault's Stack Vault inventories every machine identity, model endpoint, and autonomous agent — then enforces least privilege without breaking pipelines.
Human IAM doesn't translate to agents that spin up, call tools, and disappear in seconds. We rebuilt the primitives.
Continuous discovery of every autonomous agent, copilot, and service principal touching production data.
Ephemeral credentials brokered per task. No standing API keys for LLM calls or tool invocations.
Detect and roll back over-broad scopes the moment an agent acquires more permission than it actually uses.
Full forensic timeline of which agent did what, with which token, against which dataset.
Step-up approval for high-blast-radius actions: data exfiltration, schema writes, external API calls.
Keys, OAuth tokens, and federated trust rotated on velocity-based and risk-based triggers.
Most teams are surprised by what we find in the first week. Standing secrets to model endpoints are everywhere.
Read-only connectors map every agent, key, role, and trust path across AWS IAM, Azure AD, Okta, GitHub, and your model gateway.
Week 1Each identity is scored on blast radius, freshness, and unused entitlements. We surface the 5% that matter.
Week 2Policy-as-code rolls out behind a feature flag. Reversible. Pipeline-safe. Audit-ready on day one.
Week 3Straightforward answers about scope, integration, data handling, and rollout.
No. We sit alongside Okta, Entra, AWS IAM, and Ping — adding agent-aware controls and ephemeral credential brokering for the workloads they weren't designed for.
Standing privileged sessions are eliminated, but emergency-access workflows trigger time-bound elevations with mandatory video-attested approvals.
Credential brokering adds 6-12ms per call. Most teams see net latency improvement once we eliminate redundant token refresh storms.
SOC 2 CC6, ISO 27001 A.9, NIST 800-53 AC, and the access-control sections of NIST AI RMF and ISO 42001.