AI Security
AI Privilege Management
When AI can change systems, privileged access controls must apply to it as well.
Overview
What is AI Privilege Management?
AI privilege management applies PAM principles to AI agents and automations: no standing high privilege, time-bound elevation, human approval for sensitive operations, vaulted credentials and session-level monitoring of what the AI did.
Why it matters
When organizations need it
These are common signs that an organization would benefit from AI Privilege Management.
Signs you need it
- Agents able to modify production systems
- AI automations running with administrator rights
- No human approval for sensitive AI actions
- Credentials for AI stored outside a vault
Capabilities
Key capabilities
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Privilege tiers for AI
Classifying AI actions by impact.
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Just-in-time elevation
Temporary privilege with approval.
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Credential vaulting
Managed, rotated credentials for AI.
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Privileged activity monitoring
Oversight of high-impact AI actions.
Scope
What you receive
- AI privilege model
- Approval workflows
- Vault integration design
- Monitoring use cases
Our approach
How CoreIAM helps
We extend your existing PAM investments to cover AI rather than creating a separate silo.
Engagement
Engagement approach
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Inventory
Map AI use cases, data flows and owners.
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Assess
Evaluate risks and existing controls.
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Secure
Implement governance, technical and identity controls.
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Monitor
Track usage, access and emerging threats.
Related
Related services
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AI Security
Secure AI adoption — from AI governance and LLM application security to identity for AI agents.
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AI Security Governance
Clear ownership, decision rights and guardrails for secure AI adoption.
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AI Risk Assessment
Understand the security and data risks of each AI use case before it goes live.
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AI Security Policies & Controls
Practical AI policies and technical controls people can follow.
Discuss AI Privilege Management with our specialists
Tell us about your environment and objectives, and we will recommend the right scope and approach.

