Service · Identity
Identity & Access AI Control
Identity, permissions, and least privilege for AI agents and copilots — across applications, data, and APIs the enterprise actually runs on.
The problem
Why this work exists.
Most identity programs were built for humans. AI agents and copilots are not humans. They authenticate as service accounts, inherit far too much access, and rarely have meaningful audit attached to what they actually do on behalf of a user.
Once an agent can read everything a user can read, every prompt becomes a potential exfiltration path.
Why it matters
What is at stake.
Identity is the new perimeter for AI. If an enterprise cannot answer who is acting, on whose behalf, with what authority, and against which data — then it cannot govern AI at all.
Strong AI identity and access control is what makes the rest of the AI program possible: governance, audit, regulatory response, and incident investigation all depend on it.
How MXP helps
What we do in this engagement.
- Define identity, authorization, and audit standards for AI agents and copilots
- Establish least-privilege patterns for AI access to applications and data
- Bridge AI runtimes with the existing IAM, IGA, and PAM stack
- Design delegation models — acting on behalf of a user without over-permissioning
- Stand up audit trails that humans, security, and regulators can actually use
- Plan rollout across the highest-risk integrations first
Typical deliverables
What you walk away with.
- AI identity reference architecture covering agents, copilots, and humans
- Authorization model — scopes, delegation, sensitive data access, escalation
- Audit, logging, and evidence model aligned to security operations
- Integration plan with existing identity, IGA, and PAM platforms
- Risk-prioritized rollout plan starting with highest-impact systems
- Operating playbook for ongoing AI access reviews and certifications
Engagement approach
How it runs.
Engagements run 6–12 weeks and pair with security, identity, and platform leadership. We deliver an identity and access reference architecture, an integration plan with the existing IAM stack, and a phased rollout you can execute.
We focus on what is operationally workable, not theoretical.
Ready to make this real?
Most enterprises start with a focused diagnostic engagement. We'll show you the gaps and the path.