Oasis Security and Sequoia Launch the First Practitioner-Built Governance Framework for Agentic AI Access

Why It Matters

By providing a standardized, actionable governance layer for AI agents, the AAM Framework helps firms mitigate emerging security risks and accelerate responsible AI deployment, a critical need as AI agents are set to outnumber employees at many large enterprises by year‑end 2025.

Summary

Oasis Security, in partnership with Sequoia Capital and leading CISOs, unveiled the Agentic Access Management (AAM) Framework, a practitioner‑built, vendor‑neutral governance model for securing machine‑to‑machine AI agents and non‑human identities. The seven‑pillar framework includes a free maturity assessment to help enterprises benchmark and remediate gaps as AI‑agent usage surges—Oasis reports an 840‑fold YoY increase in AI‑agent adoption and a 1,767% rise in Copilot agent creation. With the enterprise AI market projected to grow 39% to $28.4 billion in 2025, the AAM Framework aims to prevent credential sprawl, shadow AI, and compliance blind spots that threaten organizations lacking formal AI governance. The initiative is positioned as a practical, identity‑first approach to bring structure and accountability to the rapidly expanding AI‑agent ecosystem.