For security architects & teams

Evaluate the action the agent assembled — not just the model.

You already know the seam: authentication works, retrieval works, the policy engine works — and the action the agent composed from all of them still violates intent, because none of those controls was built to reason about the composed action. Apeiris defines the layer that evaluates that action, and the evidence it should produce — under whose authority, over what data, within what policy — not a verdict on the model and not a gate that decides for you.

How Apeiris differs from the tools you already run

Apeiris is not a policy engine, CNAPP, SIEM, identity provider, or AI gateway, and it does not replace them. It defines the open control-and-evidence model those tools produce and consume evidence against — the model for reasoning about the action a workload assembles across identity, authority, data, knowledge, and behavior, and composing a reviewable verdict from evidence. It is an evidence layer, not another sensor and not a choke point. See where Apeiris fits vs GRC, gateways, model eval, policy engines & observability →

Available today vs. in development

The open corpus is usable now. The runtime platform that watches your environment is being built — we hold that line explicitly.

Available today

  • The compositional thesis, one-action walkthrough, and incident method
  • The Agentic, Identity, and Authority control families with evidence and blocking posture
  • A local platform prototype (deterministic trust engine, CLI, MCP, Ed25519 attestation)
  • The knowledge graph and ATLAS model, queryable over MCP

In development

  • Runtime detection of capability drift in your environment
  • Telemetry ingestion and per-tenant evidence storage
  • Output connectors (ServiceNow, Jira, Splunk, Sentinel, …) and a connector SDK

Trace a real action

See the six checks a composed action must pass, and the evidence each one produces.

Not your role?