Every agent request, every response, every data access, governed before it executes.
From policy boundary to post-execution audit, every stage governs the next.
Guardrails & corporate guidelines evaluated at the entry boundary
Continuous inspection, token sanitization, and safety checks
Master orchestration with conditional sub-agent delegation
Full forensic provenance of the runtime decision path
Integrity check, trust score update, and audit output
Secure Control Plane
An active defense layer that sits in front of every AI agent analyzing every prompt, every response, and every data access in real time.
Injection patterns, instruction overrides, and jailbreak attempts intercepted at the edge.
Outputs scanned for PII, PHI, API keys, and credentials. Risky responses blocked, not logged after the fact.
Per-resource access caps that contain a misbehaving agent without slowing the rest.
Security and governance evaluated on every request. Violations intercepted, not retroactive.
Adaptive Agent Router
Every incoming request is evaluated for complexity, data sensitivity, and policy posture before it's routed to cost-optimized models for low-stakes work, regulated agents for sensitive workflows.
Every incoming request is evaluated for complexity, data sensitivity, and policy posture before it's routed to cost-optimized models for low-stakes work, regulated agents for sensitive workflows.
Provider-agnostic orchestration so you're never locked into one stack.
Automatic reroute when models degrade, providers fail, or policy posture changes.
Cloud-agnostic. Model-agnostic. Framework-agnostic. The same governance posture across AWS, Azure, GCP, and every agent framework you use.