Your agents passed review. Are they still the same agents?
An agent that was reviewed, approved, and has since drifted is a control that expired silently while the register still shows green. ARIAS gives every agent a behavioral baseline at commit, so approval becomes a state you can enforce.
Approval decays, and nothing tells you
Every software control you own assumes a diff shows you what changed. For an agentic system it does not. The risk is not the agent nobody reviewed — it is the agent that was reviewed, passed, and has since drifted out from under its own approval.
Changes that are invisible in review
A reworded prompt, a model upgrade, one added tool. Each arrives as ordinary text in a diff and each one moves behavior materially.
Approvals with no expiry
The register records that an agent was approved. It does not record whether the agent running today is the one that was approved.
No inventory to assess
Agents declared in specs and config never appear in a code review, so the ones missing from your register are the ones nobody wrote in code.
Privilege that travels
When agents delegate to each other, access moves down the chain. A read-only agent reaches delete access two hops away.
Make approval something you can enforce
Behavioral Baselines
Every approved agent gets a recorded fingerprint. You can prove which version was approved, and compare it to what is running now.
Certificates That Expire
Approval carries a shelf life that is enforced rather than tracked. Drift suspends the certificate; you are warned before one lapses.
Decision Rights You Keep
Block mode or monitor mode, per pipeline, per team. Written down, applied uniformly, evaluated automatically. No vendor decides what stops your release.
Permission Fit
The gap between what an agent can do and what its stated role requires — every over-permissioned agent named specifically, tool by tool.
Estate Topology
One map of every agent, tool, memory store and model, including the delegation paths between them, so blast radius is a question with an answer.
Data Residency
Analysis runs where the code lives. Only structured metadata reaches the platform — never source, prompts or credentials.
What ARIAS does not do
A vendor claiming the whole agent lifecycle is telling you something about their honesty, not their coverage. Here is the boundary, stated before you have to ask for it.
Behavioral drift, not data drift
We detect that an agent's definition changed. We do not detect statistical shift in the inputs it receives. Same word, different problem.
No runtime signal
Incidents, live misbehavior and production telemetry sit outside the boundary by design, and are available from tools you already run.
No organizational state
Autonomy and escalation paths are detected structurally. Who is permitted to approve is a governance fact we do not observe.
Pre-production only
ARIAS holds no runtime component. The worst case of a bad ARIAS day is a pipeline that reports incorrectly — never an outage.
Make approval enforceable
We will walk the control loop end to end and show you the evidence that comes out of it.