Normalize
Identity, delegated authority, tool, arguments, target and execution contract normalize into one canonical Action Context — whatever the host framework.
Admissibility Control for AI Agents
Admis is the independent admissibility control plane that evaluates proposed agent actions before execution, determines what may proceed, and produces an authoritative decision record.
Decision authority, before execution
Agents propose. Admis decides what may execute.
Nothing is wrong. Nothing was attacked. Autonomous authority is simply insufficient for this action.
The control gap
Agents have crossed from suggesting to acting. They call APIs, move money, change records and initiate consequences. Every layer of the stack answers a different question. Guardrails filter content. IAM checks permission. Security detects compromise. Observability reports what already happened.
None of them answers the institutional question: should this specific action, by this agent, under this authority, with this consequence profile, be allowed to execute right now?
Admis is the layer that answers it — before execution, not after.
One canonical core
Identity, delegated authority, tool, arguments, target and execution contract normalize into one canonical Action Context — whatever the host framework.
Security, Decision and Compliance evaluate across threat evidence, institutional constraint, predicted consequence, reversibility and uncertainty.
One canonical outcome, translated into the host’s own control primitive and applied before side effects occur. Admis decides. The host-native control point enforces.
An Admissibility Trace surfaces in the tools your team already uses. A replayable Decision Record pins policy, engine, schema and governance identity.
Canonical control outcomes
Most control surfaces reduce authority to allow or block. Consequential agent action requires graduated authority. Admis returns one of nine canonical outcomes, applied consistently across every adapter.
For binary host interfaces, permitted is a derived convenience field. It is deterministically mapped from the canonical outcome and is never an independent source of authority.
The Admis platform
Distinct control domains operating through a single canonical decision core.
Pre-execution gating on threat, identity, Zero Trust posture, anomaly, exfiltration and privilege signals.
Prevents compromised, anomalous or insufficiently authorized actions from reaching execution.
Explore Security →Distributional consequence evaluation — Monte Carlo, tail risk, CVaR and admissible-alternative comparison — for actions that pass security and policy but carry material consequence under uncertainty.
Evaluates material consequences under uncertainty before autonomous action proceeds.
Explore Decision →Executable policy: identity, delegated authority, consent, organizational and regulatory constraints and obligations, attached directly to autonomous action.
Translates organizational and regulatory requirements into controls applied directly to agent action.
Explore Compliance →Built to integrate
Admis operates independently of the agent framework, model, tool or cloud. Bring your own enforcement point — an MCP gateway, framework middleware, an APIM policy or your own control plane can call the Decision API and enforce the result locally.
Enforcement points may enforce. They must not recreate decision semantics.
Read the architecture →Independent decision authority for agentic systems.