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.
MCP Server
Your agents get tools and data through one governed surface. Every call carries identity, scope, and an audit trail.
No bespoke integrations. Every agent discovers and calls enterprise tools the same way.
Every tool call carries an identity. Access is granted at the resolution your security team requires.
Expose policy-aware datasets and tools without exposing the systems behind them.
AI Access Control
Fine-grained access control across every AI agent and every MCP server, enforced automatically, not requested.
Register any MCP server, extract its tools automatically, and apply security policies at the server or individual tool level before an agent ever calls it.
Output policies detect and mask sensitive values, like financial figures above a defined threshold, in real time, without changes to the agent itself.
Input policies intercept high-risk requests and block them at the gateway, before the agent ever sees them.
Create access groups and assign them to specific agents, MCP servers, or individual tools. Anyone outside the group is blocked automatically.
The same fine-grained access groups that protect MCP tools extend to AI agents, so permissions stay consistent across your environment.
Cloud-agnostic. Model-agnostic. Framework-agnostic. The same governance posture across AWS, Azure, GCP, and every agent framework you use.