AI agent audit & governance

Every AI agent.
Accounted for.

AI agents now appear across your estate faster than any governance team can track by hand — a Copilot Studio flow here, a Foundry deployment there, an Agentforce automation nobody remembers approving. Apex Warden is the audit and governance control plane that answers the hard questions with evidence: what agents exist, what can they touch, who is accountable for them — and what is being done about the ones that shouldn't be there.

6 sources · Graph · Entra · Defender · Power Platform · Foundry · Agentforce
Read-only collectors
Policy as code
Named owner per agent
Maker-checker everywhere
Sovereign · your tenant only

Evidence-backed discovery

Find every agent.
Prove the coverage.

Read-only collectors sweep Microsoft Graph, Entra, Defender XDR, Power Platform, Microsoft Foundry and — optionally — Salesforce Agentforce, normalising everything they find into one canonical inventory. And where evidence can't be collected, Warden says so: gaps are recorded, never papered over.

Read-only collectors

One pluggable collector per source, using managed identity, bounded retries and source-safe pagination. Warden observes your estate — it never modifies it, and missing credentials are reported as failures, never as a clean result.

Durable coverage ledger

A ledger of evidence freshness, confidence and capability per source makes every known collection gap explicit. You always know what Warden can see, what it can't — and how stale each fact is.

Relationship graph

A content-free graph connects each canonical agent to its source observations, owners, resources, tools and MCP servers — the full blast radius of every agent, visible at a glance, without storing any of your data content.

Policy as code

Governance that holds up to audit.

A deterministic policy engine evaluates every agent against immutable, independently approved policy versions — the same inputs always produce the same verdict, and every verdict can be explained. No model in the loop, no probabilistic judgement calls.

Deterministic policy engine

Data-only policy versions are authored, validated, then independently published by a separate approver. Evaluations run over allowlisted metadata facts — versioned, repeatable and explainable.

Explicit accountability

Every agent carries a named business sponsor and technical owner, with governed assignment, full history and due-status tracking. When something goes wrong, "who owns this?" is never an open question.

Disposition & recertification

Reviewers approve, reject or flag each agent with a recorded rationale — and approvals aren't forever. Every approved agent returns to the review queue on a set interval, so yesterday's decisions stay honest.

From finding to fix

Governed remediation,
not orphaned findings.

Discovery without follow-through is just a longer worry list. Warden carries every finding through a governed lifecycle — drafted, independently approved, dispatched into the tools your teams already work in, and closed with immutable evidence of what was done.

Maker-checker remediation

Remediation plans are drafted by one person and approved by another — never self-approved — then handed off to your ticket, task or runbook systems with an immutable approval and execution trail.

Bounded exceptions

Policy exceptions are exact-version, exact-rule and time-bounded, with maker-checker review. An in-product notification queue keeps reviewers on top of what's waiting — nothing expires silently.

SIEM & ticketing events

Governance events flow into your SIEM and ticketing tools through durable, HMAC-signed delivery with bounded retries and a delivery-health view — so downstream systems can trust what they receive.

Sovereign by design

A self-contained appliance
inside your own tenant.

Warden deploys as an Azure Container Apps appliance in your subscription, authenticating with managed identity and your own Entra roles. Your agent inventory — the most sensitive map of your AI estate that exists — never leaves your tenant.

Your Azure, your identity

Idempotent Bicep deployment with managed identity, Entra SSO and role-based access — Administrator, Approver, Reviewer, Operator — enforced end to end. No vendor cloud, no second copy of your data.

Fail-closed configuration

Production refuses to start with missing authentication, wildcard CORS, development credentials or an unsafe connector configuration. Optional connectors stay off until their configuration fully validates.

Assurance evidence

Append-only audit events, digest-protected evidence export, automated rollback on failed health gates and scheduled database restore drills — the operational proof an auditor actually asks for.

FAQ

Common questions.

What counts as an "AI agent" to Apex Warden?

Anything in your estate that acts with an identity and AI in the loop: Copilot Studio agents, Microsoft Foundry deployments, Power Platform automations that call models, Entra-registered applications acting as agents, and — optionally — Salesforce Agentforce agents. Each is normalised into one canonical inventory entry, whatever platform it came from.

Can Apex Warden change or break anything in my tenant?

No. Discovery collectors are strictly read-only and authenticate with managed identity. Warden observes and records; the only things it writes are its own inventory, decisions and evidence. Remediation is dispatched to your existing ticket, task or runbook systems for humans to execute — Warden never reaches into your tenant to make changes itself.

Does agent data leave our tenant?

No. Warden deploys as a self-contained Azure Container Apps appliance inside your own subscription, using your Entra roles for access. The inventory, the graph and all evidence stay in your tenant. The only outbound traffic is optional, HMAC-signed governance events to a SIEM or ticketing endpoint you explicitly allowlist.

Is the risk scoring done by an AI model?

No — deliberately. Policy evaluation and risk tiering are deterministic: the same facts and the same policy version always produce the same verdict, decomposable into the exact rules that fired. That's what makes verdicts explainable and defensible to auditors and regulators, which a probabilistic model cannot guarantee.

How does Apex Warden help with the EU AI Act, ISO 42001 or NIS2?

Those frameworks converge on the same core: know what AI you run, govern it against explicit policy, name who is accountable, and prove it. Warden provides the evidence layer — a complete inventory with coverage confidence, versioned policy evaluation, named sponsors and owners, recertification, and an append-only, digest-protected audit history you can hand to an assessor.

What happens when Warden can't see part of the estate?

It tells you. A durable coverage ledger records what each source could and couldn't provide, when it was last swept and with what confidence. Missing permissions or unreachable sources are reported as explicit gaps — never silently treated as "nothing found". Fail-closed behaviour extends to configuration: optional connectors stay off until their configuration fully validates.

Who needs to be involved to run it?

Warden ships with four Entra-enforced roles — Administrator, Approver, Reviewer and Operator — and a maker-checker workflow that requires at least two people for anything consequential: policy publication, exception approval and remediation sign-off are all independently approved. A small governance team can run it; the platform enforces the separation of duties.

Know every agent.
Govern every one of them.

Evidence-backed AI agent discovery, deterministic governance and governed remediation — running entirely inside your own tenant.

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Also from ApexAI: Apex Vantage — sovereign endpoint security & AI →