As enterprises race to deploy artificial intelligence at scale, Oasis Security has introduced a groundbreaking governance model designed to keep pace with the machine-to-machine future. The company today launched its Agentic Access Management (AAM) Framework, a first-of-its-kind identity security model built specifically for the “Agentic Access” era — where AI agents and non-human identities (NHIs) now operate as digital employees within enterprise systems.

A New Era of Identity Governance

Developed in collaboration with Sequoia Capital and a network of leading CISOs, the AAM Framework provides clear, actionable guidance for managing AI-driven access across enterprise environments. Unlike traditional identity frameworks focused on human users, AAM addresses governance for the rapidly expanding layer of AI agents — offering a practitioner-built, vendor-neutral structure that can be implemented immediately.

“AI-agent adoption is rising exponentially,” said Danny Brickman, CEO and Co-founder of Oasis Security. “Our Fortune 500 customer data shows an 840× increase in AI agent use year-over-year, with Copilot agent creation up 1,767%. At this pace, AI agents will outnumber employees by the end of 2025. The AAM Framework was born from that urgency — it gives security teams the structure to manage this explosion responsibly.”

AI Growth Without Guardrails

Recent studies reveal a critical gap between AI innovation and governance:

• 83% of enterprise data entering AI tools goes to platforms labeled critical or high risk, with 34.8% of that data classified as sensitive.

• Organizations without formal AI strategies have only a 37% success rate in adoption versus 80% for those with clear governance.

• Despite a 14% annual increase in AI spending, just 30% of tech-forward enterprises have achieved full-scale deployment.

These figures underscore the need for structured, identity-first AI governance — a challenge Oasis Security aims to solve with AAM.

Built for Practitioners, Not Just Policy

The AAM Framework offers a practical, identity-first approach to AI security. It focuses on the machine-to-machine access layer, where most AI-related security risks are projected to emerge. By defining controls around access, credentials, and identity lifecycle management for AI agents, it helps enterprises establish trust, accountability, and visibility across thousands of autonomous systems.

“Agentic AI represents one of the most profound shifts since cloud computing,” said Caleb Tennis, CISO at Sequoia Capital. “Oasis is enabling enterprises to get ahead of that shift — not just adopting AI faster, but governing it responsibly. The AAM Framework brings vital structure to a rapidly evolving space.”

From Shadow AI to Secure Autonomy

As organizations move from AI experimentation to enterprise-scale deployment, many face credential sprawl, shadow AI, and compliance blind spots. The AAM Framework provides tools and governance maturity models that help companies secure agentic access before these issues spiral out of control.

“The Maturity Assessment tool has been instrumental in pinpointing where to strengthen our program and how to engage leadership on next steps,” said Todd Dufour, SVP of Identity and Access Management. “It aligns perfectly with our goal of adopting AI responsibly and building long-term resilience.”

Coalition-Ready for the Future of AI Security

To accelerate adoption, Oasis Security has also launched an AAM Maturity Assessment — allowing organizations to benchmark current practices, identify governance gaps, and prioritize remediation. The framework is coalition-ready, designed for endorsement by CISOs, security associations, and vendors seeking to establish a shared foundation for secure AI adoption.

With the Agentic Access Management Framework, Oasis Security is positioning itself as a pioneer in the emerging discipline of AI identity governance — offering enterprises the tools they need to balance AI innovation with accountability in a rapidly evolving digital landscape.

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