Solutions / Agent Governance

The governance is the onboarding

Every AI agent registered, authenticated, and monitored from the moment it connects. The Meerkat Console is the single entry point. SDK v2.0.0 connects with 3 lines of code. 9 agents governed in our own fleet. This is not a roadmap. It is running in production.

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The Problem

AI agents are fast, confident, and
wrong often enough to matter

Shadow AI

67% of enterprise AI agents operate without formal governance oversight. They were deployed by a team, connected to production data, and forgotten.

The governance gap is already here

Agent drift

An agent that passed verification last month may not pass today. Models update, prompts change, data shifts. Without continuous monitoring, compliance is a snapshot, not a guarantee.

Point-in-time audits miss drift

NIST alignment

The NIST AI Agent Standards Initiative (Feb 2026) calls for agent identity, authorization, and continuous monitoring. Meerkat implements all three.

Built to the emerging standard

How It Works

Register, connect, monitor.
Three steps. Production-grade.

Step 1: Register in the Console

The Console is the single entry point for every AI agent

Click "+ Add", name your agent, define its domain and authorized scope
The Console provisions SDK credentials, verification thresholds, and an audit trail automatically
No agent exists in an ungoverned state

Step 2: Connect with 3 lines of code

The SDK v2.0.0 code snippet generator produces ready-to-paste Python

from meerkat_sdk import MeerkatAgent

agent = MeerkatAgent(
    api_key="your_api_key",
    agent_id="agt_healthcare_scribe_a1b2c3",
    name="Clinical Scribe Verifier",
    domain="healthcare",
)

result = agent.verify(
    output=ai_generated_note,
    context=patient_ehr_data,
)

if not result.passed:
    agent.alert(f"Flagged: trust {result.trust_score}")

Step 3: Monitor in real time

The Console fleet panel shows every agent's connection status

Heartbeat indicators: green (online), amber (idle), red (offline)
Always-on agents heartbeat every 60-120 seconds
Scheduled agents report on each run
Auto-refresh every 30 seconds. If an agent goes silent, you know immediately

Capabilities

Production-grade agent governance,
not a prototype

Agent Identity Registry

Unique identity format: agt_{domain}_{name}_{hash}. Client credentials per agent. Authorized domains scoped per agent. Full lifecycle from registration to decommission.

SDK v2.0.0

Purpose-built Python SDK. Shield (ingress), Verify (output verification), Audit (session chaining), Heartbeat (connection monitoring), Delegation (task routing). Auto-retry with exponential backoff. Typed response models.

Heartbeat Monitoring

Real-time connection status. Online (green, < 5 min), Idle (amber, 5-60 min), Offline (red, > 1 hr). Auto-refresh every 30 seconds. Fleet-wide health dashboard.

Console Orchestrator

Natural language task routing. "Draft a clinical note" routes to the right agent automatically. The orchestrator knows each agent's capabilities, connection status, and authorized scope.

Event Audit Log

Every verification, every shield scan, every heartbeat, every delegation. Per-agent event history with timestamps. Exportable for compliance review and incident investigation.

Scope Enforcement

Each agent authorized for specific domains: healthcare, legal, financial, pharma. Domain-specific verification thresholds. An agent authorized for healthcare cannot silently process financial data.

Deployment

Your agent data never
leaves your environment

Cloud API

Agent registry and monitoring via API. 5 minutes to register your first agent.

Hybrid Sidecar

Verification runs inside your network. Agent telemetry stays internal.

Self-Hosted

Full agent governance stack behind your firewall. For maximum control.