Agent & NHI Access Audit: Secure Every AI Identity | Genboot
IAM & Non-Human Identity

Every AI agent you shipped minted its own credential. Do you know which ones?

An AI agent governance audit that inventories every API key, OAuth grant, and service account across your stack, ranks identity risks, and prepares you for your next enterprise security review.

The problem

The Problem: NHI Governance Isn't Optional Anymore

AI adoption is accelerating, but identity governance hasn't kept pace. Many organizations can't answer a few critical questions:

  • Who owns each AI agent?
  • What data can it access?
  • Can its access be revoked instantly?
  • Is every action fully auditable?

What we found while auditing our own AI product:

  • Shared platform API keys across multiple users
  • Placeholder audit logs instead of real records
  • No named owner or kill switch for production AI agents
  • Over-provisioned permissions
These gaps often surface during enterprise security reviews, when they're no longer technical debt but business risks.
The model

One Practice. Two Identity Types.

How Artificial Intelligence Governance Extends IAM

Your IAM platform already governs human identities. Artificial intelligence governance extends those same principles to AI agents through NHI governance, giving you a consistent framework for every identity across your environment.

Feature
Human IAM
Agent / NHI Governance
Identity
Human IAMEmployees, contractors
Agent / NHI GovernanceAI agents, service accounts, API keys
Access Model
Human IAMRole-based, least-privilege access
Agent / NHI GovernanceScoped, least-privilege access for autonomous actions
Audit Trail
Human IAMLogin and access logs
Agent / NHI GovernanceAction logs showing what each AI agent did
Failure Response
Human IAMDeprovisioning
Agent / NHI GovernanceKill switch, runbook, named owner
The engagement

What We Deliver: Agent & NHI Access Audit

Your Enterprise AI Governance Starts Here

A fast-turnaround engagement for AI-native SaaS teams shipping AI features. We assess your AI identities with the rigor of a traditional access audit, extended to NHI governance.

01

Inventory Every AI Identity

Inventory AI agents, service accounts, API keys, OAuth grants, and human identities in one unified view.

02

Map Actual Access

Compare intended and actual access to uncover over-provisioning, shared credentials, and privilege drift.

03

Prioritized Risk Findings

Receive risk-ranked findings with real examples and actionable recommendations, not overwhelming spreadsheets.

04

Revocability Assessment

Know which AI identities can be revoked instantly and which require changes across multiple systems.

05

Remediation Roadmap

Get prioritized quick wins and a practical roadmap to strengthen enterprise AI governance.

The method

Every AI Security Audit Includes These Four Checks

Rather than reviewing hundreds of identities one by one, we focus on four indicators that reveal the highest-risk governance gaps.

01

Shared Credentials

Identify API keys and service accounts shared across users, systems, or AI agents.

02

Excessive Access

Detect AI identities with permissions beyond what's required.

03

Revocation Readiness

Verify whether every AI identity can be disabled immediately.

04

Audit Readiness

Confirm that AI actions are fully traceable and backed by reliable logs.

Process

How It Works

We Work from Artifacts You Already Have

We assess admin exports from your identity provider, cloud console, and API/OAuth dashboards, followed by a 30-minute screen-share walkthrough to validate findings. No source code required. This mirrors how enterprise security reviewers assess identity and access risks during due diligence.

01

Kickoff

Define the audit scope and collect exports from your identity, cloud, and API platforms.

02

Discovery

Inventory every identity, assess access, and identify governance gaps across your environment.

03

Findings

Receive a prioritized findings report, remediation roadmap, and a working session to review next steps.

Timeline: 1–2 weeks from kickoff to findings.
Why no code? Enterprise security reviews begin with identity and access data, not source code. Our assessment follows the same approach.
Proof Point

We Tested Our Own AI Platform First

Before offering this assessment to customers, we applied the same audit methodology to our own AI platform.

What we uncovered:
  • A global API key with excessive permissions
  • No single-step process to revoke AI agent access
  • Audit logs that weren't suitable for compliance

None of these issues were visible during day-to-day operations. They surfaced only through a structured identity review. That's why every Agent & NHI Access Audit focuses on the identity and access risks that matter most during enterprise security reviews.

Who This is For

Built for AI-Native Teams Moving Fast

Designed for AI-native SaaS teams preparing for enterprise growth, customer due diligence, or stronger AI agent governance.

You're a good fit if you:

  • Are preparing for enterprise or mid-market security reviews
  • Have shipped AI agents, integrations, or automation without a formal access review
  • Want visibility into AI identities before scaling further
  • Need compliance-ready answers for customer AI security audits
Timing

Why it Matters Now

The fastest way to strengthen AI identity security isn't replacing your IAM platform. It's understanding what AI identities exist, what they can access, and where the risks are.

01

Uncover hidden AI identities

across your environment.

02

Prioritize the risks

that need immediate attention.

03

Prepare for enterprise security reviews

with confidence.

04

Build a roadmap

for scalable AI governance.

Let's talk

Want to Know What Your AI Agents Can Access?

Get a clear inventory of AI identities, uncover governance gaps, and receive a prioritized remediation roadmap.

FAQs

Questions, answered.

01Why does AI agent governance matter if we already have an IAM platform?

Traditional IAM governs employees and contractors, but AI agents introduce a new identity type. AI agent governance extends existing IAM controls to AI agents, APIs, and service accounts, giving you consistent visibility, ownership, and access governance across every identity.

02What does an AI security audit uncover?

An AI security audit identifies unmanaged AI agents, shared API keys, excessive permissions, missing ownership, and incomplete audit trails. Genboot provides a prioritized remediation roadmap, so your team can resolve identity risks before they become security or compliance issues.

03How does the Agent & NHI Access Audit support enterprise AI governance?

The audit inventories AI identities, evaluates access controls, and identifies governance gaps across your environment. The findings help strengthen enterprise AI governance without replacing your existing IAM platform.

04How is NHI governance different from traditional IAM?

NHI governance focuses on AI agents, service accounts, APIs, and other non-human identities. It extends the same lifecycle, access, and monitoring controls used for employees to every machine identity.

05How do we get started with artificial intelligence governance for AI agents?

Artificial intelligence governance starts with understanding which AI identities exist, what they can access, and where governance gaps exist. The Agent & NHI Access Audit provides a practical roadmap for secure AI adoption.