Evidence for AI agent access decisions

For each production AI agent, see what it can reach, what it has done, who owns it, and what may be affected before access stays, shrinks, or goes.

What supports the decision.

Bring intended behavior, configured access, observed execution, ownership, and impact into one AI agent approval path.

Evidence-backed outcomes

Get Approve, Constrain, Reject, or Unknown from observed metadata, configuration, logs where available, and documented access paths.

Intended, configured, observed

Compare intended behavior, configured access, and observed execution before access stays, expands, or gets removed.

Metadata-only. Content-free.

Analyzes how systems are connected — not what flows through them. No business content. No prompts. No payloads. No ticket bodies. No content inspection.

Not inline. Zero disruption.

Sits outside the execution path entirely. Read-only first. No agents deployed. No changes to source systems. Nothing slows down.

Rehearse before access cuts

See what may be affected before permissions are reduced or removed.

What a finding looks like

Agent access:
Customer support agent
→ service account
→ Microsoft Graph
→ confidential data domain

Ownership: orphaned
Egress: external
Permission drift: 0 baseline → 3 roles

Outcome: Constrain access, assign owner review, enrich Sentinel, and open IAM workflow.

One access decision. Not disconnected configs.

Under the hood, analyze service accounts, identities, workflows, automations, systems of record, cloud accounts, SaaS workflows, Microsoft security tools, SOC systems, and agent runtimes.

The vendor mix changes. The question stays the same: should this production AI agent access be approved, constrained, rejected, or marked Unknown?

Evidence your team can use.

Know what the AI agent can reach, which identity is involved, where scope changed, and what may be affected.

Access path from agent to data domain
Permission drift and scope expansion surfaced with evidence
Orphaned identities operating without accountable ownership
Dev, staging, and test agents with access into production
Impact shown before access changes

Outcome-led. Not alert-led.

Each decision resolves to Approve, Constrain, Reject, or Unknown.

Impact included.

See what may be affected before access is reduced or removed.

Routed into existing workflows.

Route owner review, access reduction, or approval decisions into existing queues.

Deployed in under an hour.

15–20 min

Setup time

Hours

To first findings

Read-only

No agent deployment

Read-only deployment. No changes to your environment. Fits existing IAM and security workflows from day one.

See the evidence behind each decision.