New quiz In-house vs on-demand: 10 questions to save you $500k+ in hiring mistakes and lost time10 questions to save you $500k+ Take the quiz

Services AI Access Control Audits

AI User Access Control Audits

Least privilege, extended to the fastest-growing users in your company: AIs.

AI assistants, agents, and copilots now hold credentials, read wikis, and query production. We audit who can reach your AI systems and everything your AI systems can reach — then cut both down to least privilege — so you can say yes to the next AI tool faster, and with confidence.

5.0Gartner Peer Insights · 4.8G2

Get a free AI access review

Tell us which AI tools and agents you run. We'll come back with where over-permissioning is most likely hiding in your stack.

No sales sequence. A person reads this and replies.

What is an AI access control audit?

An AI access control audit is a systematic review of permissions in both directions around AI: who in your company can use which AI systems with which data, and what those AI systems — assistants, agents, integrations — can themselves read and do, through OAuth grants, API keys, service accounts, and connector scopes. The AI-specific failure mode is retrieval oversharing: an assistant with company-wide read access will cheerfully surface the M&A folder to an intern who asks nicely. The audit finds and closes those paths, so every new rollout starts from least privilege.

What you get

01

A complete AI access inventory

Every grant, key, scope, and service account tied to AI tools and agents across your identity provider and SaaS — including the connectors nobody remembers approving.

02

Retrieval oversharing, tested empirically

We probe what your assistants will actually surface — not what the sharing settings imply. Closing the distance between the two is one of the fastest security wins in AI adoption today.

03

Least-privilege remediation

Scoped tokens, tiered access by data sensitivity, connector allowlists, and expiry on everything — proposed as concrete changes your team reviews and applies, with our help.

04

Recertification that sticks

A quarterly review process with owners and evidence formatted for SOC 2 and ISO auditors — so access stays trimmed after we leave, and audits get a clean answer.

How it works

  1. 1

    Inventory

    Typically 1–2 weeks.

    We enumerate every human-to-AI and AI-to-system permission from your identity provider, SaaS admin consoles, and cloud — and map each one to what it can actually reach.

  2. 2

    Test & cut

    Prioritized by sensitivity.

    Empirical probing of retrieval and agent behavior against your most sensitive data, then the trim: scopes narrowed, stale grants revoked, tiers established — each change reviewed with your team.

  3. 3

    Recertify

    Quarterly, or on change.

    Access review becomes a standing process with named owners, and new AI tools enter through the same gate — so every cycle comes back cleaner than the last.

FAQs

AI User Access Control Audits questions, answered

Our AI assistant respects document permissions. Isn't that enough?
It's a strong start — and worth verifying. Permissions drift, defaults are generous, and 'anyone in the org with the link' is a permission the assistant faithfully honors. That's why we test empirically — asking your assistant for what it shouldn't surface — instead of trusting the settings page.
Does this cover agents and MCP connectors too?
Yes — agents are the audit's sharpest edge, because they hold credentials and take actions. We review every token, connector scope, and service account an agent uses, and pair naturally with our Secure MCP Program when the fix is architectural.
How disruptive is the audit?
The audit itself is read-only. Changes come out as concrete proposals your team reviews, and we sequence revocations so nothing business-critical breaks unannounced. The empirical probing runs against agreed test data and accounts.
Does this map to SOC 2 or ISO 42001?
Directly — logical access review is a core SOC 2 control, and ISO 42001 expects exactly this governance over AI systems' data access. The evidence we produce is formatted so your auditor takes it as-is.
How often should we run this?
The full audit annually or after major AI rollouts; the recertification cycle quarterly. AI access drifts faster than human access right now — new tools, new connectors, new scopes monthly — which is exactly why we leave a standing process rather than a one-time report. Billed in 15-minute increments with an optional cap.
When every AI holds exactly the access it needs, the next rollout is an easy yes.

Give your AIs exactly enough

Send your company email and we'll come back with your AI access review.

5.0Gartner Peer Insights · 4.8G2