Separate the decision
A system cannot be the sole judge of its own authority. Decision-making lives outside the agent, the framework and the model, so the answer does not change when the runtime does.
About Admis Labs
Agents already act.
Someone must decide.
Admis Labs builds the independent admissibility control plane for agentic systems — the layer that evaluates a proposed action before it executes, determines what may proceed, and leaves an authoritative record of why.
Why we exist
Autonomy outran authority.
The industry spent a decade making systems that could reason and a very short time making systems that could act. Agents now call APIs, move money, change records and initiate consequences on behalf of people and institutions — at machine speed, and often without a human in the path.
The controls around them were not designed for that. Guardrails were built for content. Identity was built for sessions and roles. Detection and observability were built to describe what already happened. Each is necessary. None of them holds authority over a single proposed action at the moment it matters.
We started Admis Labs to build the layer that does: an independent authority that answers, before execution, whether this specific action — by this agent, under this delegated authority, with this consequence profile — may proceed.
What we believe
Four commitments,
held without exception.
Answer the same way twice
The same action context, evaluated against the same policy bundle and engine, returns the same canonical outcome. Authority that drifts is not authority.
Refuse the binary
Allow and block are too coarse for consequential action. Reduced scope, added constraints, step-up authentication and human approval are outcomes in their own right, not workarounds.
Prove it later
Every decision produces a replayable record pinning policy, engine, schema and governance identity — so a decision can be examined months after the action it governed.
Boundaries
What Admis is not.
A control plane earns trust by being narrow. We are explicit about the surfaces we do not own, because every one of them is a place where a competing source of authority could quietly appear.
not a guardrailcontent
not an identity provideridentity
not an agent frameworkruntime
not an observability toolafter the fact
not a modelinference
not the enforcement pointexecution
Admis decides. The host-native control point enforces. An enforcement point may apply an outcome, translate it into its own primitive and report the result — it must never recreate decision semantics of its own.
How we build
Small surface. Deep guarantees.
Three practices that shape every decision we make about the product.
01
One canonical core
Semantics live in one place
Security, decision and compliance evaluation converge on a single canonical outcome set. Adapters stay thin on purpose: they normalize context in and translate outcomes out, and nothing more.
New runtimes are integrations, not forks of the decision model.
Read the architecture →02
Versioned, not implied
Everything is pinned
Policy bundle, engine, schema and governance identity are explicit versioned inputs to every evaluation. Behaviour changes when a version changes — never silently, and never as a side effect of a deployment.
Reproducibility is a product requirement, not an operational courtesy.
Read the docs →03
Standards, not invention
Designed to complement
We build to align with established work on decision and enforcement separation, agentic and non-human identity risk, adversarial technique catalogues, trusted timestamping and attested records rather than inventing parallel vocabulary.
Your existing security, identity and assurance programs remain the frame of reference.
Explore the products →
Designed to complement established security, identity and assurance standards
- NIST SP 800-207 decision / enforcement separation
- OWASP Agentic Top 10
- OWASP NHI Top 10
- MITRE ATLAS
- RFC 3161 trusted timestamps
- Ed25519 attested decisions
Working with Admis Labs
Early, and
deliberately narrow.
We work closely with a small number of teams putting agents into consequential production paths — payments, records, infrastructure and regulated workflows. Their constraints shape the canonical outcome set, the adapter surface and the evidence model.
If an agent in your environment can do something you would not let it undo, we should talk.
Request access ↗
Independent decision authority for agentic systems.