Authorization layer for AI Agents

LLMs are only as powerful as the data they have access to.
AI agents are only as powerful as the actions they can perform.
Humans should always retain control over the boundaries of the power those systems possess.

However, traditional authorization layers, focused on user-resource separation, become obsolete with AI agents. These agents, both autonomous and controllable, necessitate a new permission paradigm. The ability for agents to access tools—executable actions beyond static data—and initiate interactions with other agents introduced policy requirements that legacy systems couldn't meet. This duality demands dynamic yet deterministic boundaries that adapt to context, reflecting their role as both actor and resource.

Whether you're a developer, a community builder, or a tech leader, you can explore our open-source solution, join the conversation on Discord, or contact us for enterprise adoption.