AI Agents Move at Machine Speed, Govern Them Accordingly.
Enforce policies in real-time, understand every action with full context, and securely manage autonomous and human-driven AI activity at enterprise scale.
Traditional IAM Was Never Built for AI Agents
The number of identities in the enterprise is exploding, and now includes AI agents that can appear and disappear in seconds, operate autonomously or on behalf of users, often with access to sensitive systems and privileged actions, and move faster than humans can supervise. Yet identity security tools and processes, built on static policies, periodic reviews, and human decision-making, lack the visibility, context, and adaptability required to govern AI-driven environments.
Reasoning-Based Governance for AI Activity
Applies explainable, reasoning-based access control to every AI-driven action, evaluating intent, context, and risk in real time to ensure precise and auditable decisions.
Runtime Enforcement Across AI Workflows
Enforces access decisions at the moment of action through MCP gateways, securing AI agents whether they operate autonomously or on behalf of a user.
Knowledge Graph–Driven Context
Leverages the Identity Knowledge Graph to connect identity, access, activity, and business context, enabling accurate governance across dynamic and ephemeral AI identities.
Secure AI Innovation Without Losing Control
AI agents introduce a new level of speed and autonomy into enterprise environments. Fabrix enables organizations to embrace this shift while maintaining control, replacing static governance with continuous, context-aware decision-making.
- Govern AI agents with full context, at machine speed
- Enforce access decisions in real time as actions occur
- Continuously adapt policies to dynamic AI behavior