Oasis Security, an identity security platform, has launched the Agentic Access Management Framework, a first-of-its-kind model designed to govern the machine-to-machine access layer of enterprise AI. Created in collaboration with Sequoia Capital and leading CISOs, the vendor-neutral framework provides actionable guidance for securing AI agents and non-human identities, addressing a critical gap in governance as businesses rapidly scale their AI deployments.
Quick Intel
Oasis Security launches the Agentic Access Management Framework.
The framework governs AI agent and non-human identity access.
It is a vendor-neutral model built with input from Sequoia and CISOs.
The launch includes a complimentary AAM Maturity Assessment tool.
It addresses risks from unmanaged agentic access and credential sprawl.
The goal is to provide structure for secure, large-scale AI adoption.
Addressing the Unmanaged Risk of AI Agents
The framework is a direct response to the explosive growth of AI agents within enterprises. Oasis Security data indicates an 840x year-over-year increase in AI-agent adoption, with Copilot agent creation alone growing by over 1,700%. At this pace, AI agents are projected to outnumber employees at many large organizations by the end of 2025. This creates significant unmanaged risk, as a large portion of enterprise data flowing into AI tools is sensitive and accessed through platforms labeled as critical or high-risk.
A Practical, Practitioner-Built Governance Model
Built by security practitioners for security teams, the AAM Framework is designed to be immediately implementable. It offers an identity-first approach to AI security, focusing on the machine-to-machine access layer where future breaches are anticipated. The framework helps organizations maintain visibility, trust, and accountability across thousands of autonomous AI entities, preventing issues like credential sprawl, shadow AI, and compliance blind spots as they transition from AI pilots to full-scale production.
Enabling Responsible and Secure AI Adoption
To support the adoption of the framework, Oasis Security is releasing a complementary AAM Maturity Assessment. This tool allows organizations to benchmark their current governance practices, identify specific gaps, and prioritize controls. The framework is designed to be coalition-ready, providing a shared foundation for CISOs, security associations, and vendors to build a standardized approach to securing agentic access, thereby enabling faster and more responsible AI innovation across industries.
The launch of the AAM Framework provides a critical structure for identity and security teams grappling with the new challenges posed by autonomous AI, helping enterprises harness the power of AI agents while maintaining stringent security and compliance standards.
Oasis Security is the AI-powered identity security platform for the Agentic Access era. Backed by leading global investors including Accel, Cyberstarts, and Sequoia Capital, Oasis enables organizations to transcend legacy IAM tools and secure the growing ecosystem of AI agents and Non-Human Identities (NHIs). The Oasis platform provides unified visibility, intelligent automation, and granular control across all agentic identities, helping enterprises confidently adopt, scale, and govern AI. By securing identity at the access layer, Oasis empowers organizations to embrace the speed of Agentic AI while maintaining trust, compliance, and control. Oasis Security was founded in 2022 by Danny Brickman and Amit Zimerman.
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