The Sub-Millisecond AI Agent Governance Mesh
xAgentGuard runs as an inline Go enforcement proxy between autonomous LLM agents and downstream API tools. It provides deterministic policy evaluation, memory-backed RBAC entitlements, real-time Slack human gates, and SHA-256 audit ledgers.
1. Go Execution Proxy
Compiled natively in Go to ensure sub-1ms interception overhead. Operates transparently as a reverse proxy or Kubernetes VPC sidecar with zero performance degradation.
- Sub-1ms Latency Overhead
- Sidecar & Helm Deployment
2. Google CEL Rules Engine
Replaces non-deterministic "LLM-as-a-Judge" evaluators with Google Common Expression Language (CEL). Rules execute in microsecond cycles with zero hallucinations.
- Numeric Payload Limits
- Dynamic Regex & Scope Check
3. Slack Human-in-the-Loop
When an agent tool invocation exceeds authorized limits (e.g., wire transfers > $1,000), xAgentGuard pauses execution and posts an interactive 1-click Slack Block Kit gate.
- 1-Click Slack Approvals
- Configurable Timeout Handlers
End-to-End Inspection Pipeline
Agent framework dispatches HTTP/gRPC tool invocation to proxy.
In-memory check of agent API keys, rate limits, and RBAC permissions.
Go engine evaluates payload against active policy rules (<0.5ms overhead).
SHA-256 digest is signed and committed to the telemetry database.
Ready to Secure Your Agent Infrastructure?
Test real-time tool policy enforcement, Redis sub-millisecond latency, and Slack human gates in our interactive environment.