AI Governance Runtime

EVE is a runtime enforcement layer: it sits in the execution path and decides — deterministically — whether a governed action may proceed, at the moment it is about to run. This is different from a static policy checker or a post-hoc log analyzer. The runtime returns a verdict before the side effect, and it fails closed on error.

Runtime properties

  • In-path decisioning — the ALLOW / BLOCK / MODIFY verdict is produced synchronously before the tool call or MCP request executes.
  • Deterministic core — verdicts come from policy code, not a model; the decision path contains no LLM.
  • Fail-closed — a service error (embedded, hosted, sidecar, MCP-gateway, sovereign) resolves to BLOCK or raises. No silent permissive fallback.
  • Signed evidence per decision — the runtime can emit an evidence envelope bound to the decision for independent verification.
  • Warm latency — Python embedded govern measures p50 10.8 ms / p95 15.7 ms / p99 17.0 ms (CoreGuard-dominated; hosted round-trip is network-bound).

SDK example

from eve_coreguard import EVE

eve = EVE(mode="sidecar")  # runtime enforcement via a local sidecar endpoint

result = eve.govern_tool_call(
    tool="send_email",
    arguments={"to": "external@example.com", "attachments": ["report.pdf"]},
    context={"tenant_id": "org_abc", "principal_id": "agent_mail", "session_id": "sess_2"},
)
if result["action"] != "ALLOW":
    handle_denied(result["action"], result["reason_codes"])

Readiness

Runtime enforcement (CoreGuard decision, fail-closed deployment modes) is PILOT_READY; the core governance architecture is pilot-validated. Signed evidence and offline verification are SUPPORTED. The SDK core is a RELEASE CANDIDATE WITH EXCLUSIONS.

Limitations

  • Latency figures are warm-path measurements; hosted round-trip latency is network-bound and depends on your endpoint placement.
  • The pip client runs in hosted mode and needs a reachable endpoint; embedded in-process enforcement is the EVE service.
  • Wrapper-based framework integrations can be bypassed by calling the underlying tool directly; hard runtime enforcement requires a gateway or sidecar.

Next step

Deploy EVE as an in-path sidecar in a pilot environment and measure real verdict latency on your workloads.

Part of the EVE AI Core control plane Deterministic AI Governance Control Plane → Policy decisions that return the same result for the same input every time, before execution.