Oasis Security Introduces the Agentic Access Management Framework: The Future of AI Access Governance

Read full details here:  https://www.oasis.security/blog/agentic-access-management-framework/?utm_source=nhimg

AI agents are multiplying at a pace enterprises have never seen before. Data from Fortune 500 organizations shows AI-agent adoption up 840× year-over-year, with Copilot agent creation rising 1,767% between July 2024 and July 2025. At this trajectory, autonomous agents will outnumber employees by the end of 2025 — and traditional IAM models simply aren’t built to keep up.

Unlike humans, agents don’t follow corporate governance rules. They create sessions, spawn tasks, delegate actions, and make access decisions autonomously. Without clear ownership and least privilege enforcement, every agent becomes a new attack surface.

The Agentic Access Management (AAM) Framework was created to solve this — a practitioner-driven standard designed with input from CISOs and IAM leaders to operationalize agent governance without slowing AI innovation. It defines seven actionable pillars for securing agentic access across models, tools, and data paths:

1. Discovery & Inventory
2. Ownership & Accountability
3. Credential Lifecycle & Hygiene
4. Access Security & Risk Management
5. Vendor & Service Trust Management
6. Monitoring & Threat Detection
7. Risk Management & Continuous Improvement

Together, these pillars help enterprises transform AI access chaos into measurable control — aligning security rigor with AI velocity.

To make it actionable, the team also launched the AAM Self-Assessment, a 10-question benchmark that instantly generates a prioritized action plan mapped to the AAM Framework.

In an era where agents make access decisions faster than humans can audit them, the AAM Framework provides a clear, standardized path to govern machine and agentic identities safely.