A practical, step-by-step resource that helps organizations understand how to adopt and implement a new solution, framework, or Agentic AI category in this case.
- Overview of the Category
- What is Agentic AI Security?
- Why does it matter now?
- What risks it solves (e.g., unmanaged AI agents, static access risk, automation drift)
- Organizational Readiness Checklist
- Which teams need to be involved (IT, IAM, security, DevOps, AI owners)
- What roles to assign (access policy owners, security reviewers, etc.)
- System Assessment
- Inventory of human and non-human identities (AI agents, bots, automations)
- Assessment of current access models (static vs. ephemeral, manual vs. dynamic)
- Implementation Phases
- Phase 1: Visibility into agent access
- Phase 2: Policy definitions (Just-in-Time, Zero Standing Privileges)
- Phase 3: Automation and enforcement (via PAM platform)
- Phase 4: Integration with threat detection, real-time response
- Sample Use Cases
- Securing LLM agents in contact centers
- Controlling ephemeral access for RPA bots or DevOps scripts
- Managing cross-cloud service identities with dynamic access
- Metrics for Success
- Reduced standing privileges
- Number of AI/machine identities governed
- Mean time to detect/revoke unauthorized access
- Best Practices
- Centralizing access decisions
- Separating authentication from authorization
- Aligning policies with compliance requirements (SOC 2, PCI, etc.)
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