Oasis Security Launches Agentic Access Management: A New Category for AI Agent Identity
Oasis Security’s launch of Agentic Access Management marks a significant milestone in the evolution of non-human identity (NHI) governance. By building an identity solution specifically designed for AI agents rather than retrofitting human IAM tools, Oasis is addressing a gap that has grown urgent as organisations move from experimenting with AI agents to deploying them in production.
The Problem: Identity Infrastructure Not Built for Agents
AI agents operate in ways that challenge every assumption of traditional identity and access management. They make autonomous decisions, chain together actions across multiple systems, and often create new identities on the fly. Existing IAM platforms were designed to authenticate known entities making predictable requests — not to govern autonomous actors whose behaviour emerges from complex reasoning rather than deterministic logic.
The gap is particularly acute in access management. Human users request access through defined workflows with approval gates. AI agents need access dynamically, sometimes for tasks that weren’t anticipated when their permissions were configured. The friction between security controls and agent autonomy either paralyses deployments or leads to dangerous over-privilege.
What Agentic Access Management Changes
First, purpose-built identity lifecycle for agents. Rather than treating AI agents as service accounts with extra steps, Agentic Access Management introduces an identity class with its own onboarding, scoping, and decommissioning workflows. Agents are registered with defined capabilities, resource bounds, and interaction policies — creating an identity record that reflects their autonomous nature.
Second, dynamic authorisation that adapts to agent behaviour. Instead of static role-based access control, the platform evaluates each agent action against contextual policies: what task is the agent performing, what data does it need, and what is the risk profile of the requested action. This contextual approach allows security teams to grant broad autonomy while maintaining granular control over high-risk operations.
Third, agent-to-agent identity relationships. As multi-agent systems become common, the identity layer must handle authentication and authorisation between autonomous actors. Agentic Access Management provides a framework for agents to verify each other’s identities, negotiate access scopes, and maintain audit trails of inter-agent interactions.
The launch signals that the industry is moving beyond treating AI agent security as an extension of existing IAM. As agent deployments scale, purpose-built identity infrastructure that understands the unique characteristics of autonomous non-human actors will be essential for maintaining security without stifling the productivity gains that make AI agents valuable in the first place.