Platform / Features
Know your agents. Control their actions. Trace the outcome.
Book a demoKnow what AI is running across your organization and who is accountable for it.
Central inventory for AI systems, agents, agent versions, owners, dependencies, models, tools, MCP servers, and governed resources.
Give every AI agent a verifiable identity and clearly defined permissions.
Runtime identities, credentials, delegations, scoped authority, and tenant-aware access boundaries.
Stop unsafe or unauthorized AI actions before they reach production systems.
Evaluate actions before they execute instead of relying only on post-event monitoring. Supports allow/deny and controlled execution patterns.
Keep humans accountable for high-impact AI decisions and actions.
Sensitive actions can be routed through durable, action-bound approval workflows rather than generic approval flags.
Control exactly which enterprise systems AI agents can access and what they can do.
Govern access to tools, APIs, MCP servers, and external capabilities with explicit policies and runtime enforcement.
See the complete story of every governed AI run, not isolated logs.
Reconstruct the full operational path of an AI interaction across model calls, tool usage, policy decisions, approvals, and execution events.
Produce defensible evidence explaining why an AI action was allowed, denied, or approved.
Persist governance decisions, matched policies, runtime identity, action context, execution outcome, and traceability information.
Add governance to existing AI applications without replacing the application's AI framework.
Applications can integrate RAI using Python, TypeScript, REST APIs, SDK lifecycle operations, and webhooks.