MeshGuardGovernance Control Plane for AI Agents

Identity, policy, and audit infrastructure for enterprise AI agent ecosystems.

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🔐

Agent Identity

Issue verifiable credentials to agents with trust tiers. Know exactly who is making every request.

📋

Policy Engine

Define rules for what agents can and cannot do. Enforce at delegation boundaries in real-time.

📊

Audit Trail

Capture complete execution traces with context propagation. Query and analyze agent behavior.

⚡

Sub-ms Latency

Policy decisions in under 1ms. No performance penalty for governance.

🔗

Easy Integration

Python SDK with LangChain, CrewAI, and AutoGPT support. Or use the REST API directly.

🚨

Real-time Alerting

Get notified via webhook, Slack, or email when policies are violated.

Quick Install

bash

pip install meshguard

python

from meshguard import MeshGuardClient

client = MeshGuardClient(
    gateway_url="https://your-gateway.meshguard.app",
    agent_token="your-token"
)

# Check if an action is allowed
decision = client.check("read:contacts")
if decision.allowed:
    # Proceed with the action
    pass

Why MeshGuard?

When Agent A delegates to Agent B, traditional identity controls break down:

❌ No identity verification for agent-to-agent calls
❌ Zero policy enforcement at delegation boundaries
❌ Incomplete audit trails across agent chains
❌ Compliance risk for regulated industries

MeshGuard fixes this by providing a governance control plane purpose-built for AI agent ecosystems.

Trusted By

MeshGuard is designed for teams building production AI agent systems in healthcare, finance, and enterprise environments.

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