EU AI Act deadline: Aug 2, 2026
Datadog + Okta for AI Agents

See Every AI Agent.
Control Every Cost.
Govern Every Action.

The unified control plane that discovers, monitors, and governs all AI agents across your organization — regardless of framework or vendor.

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“Within two years, 50% of organizations will have deployed AI agent management platforms to govern their autonomous AI systems.”

— CIO Magazine, 2026
0:1
Non-human identities per employee
0+
AI agents per enterprise (avg)
0%
End-to-end reliability (20-step chain)
<0%
Companies actively governing agents

Four Pillars of Agent Control

Complete visibility and control over your AI agent ecosystem — from discovery to governance.

🔍

Agent Discovery & Registry

Auto-discover all AI agents running across your organization. Detect shadow agents, maintain a living inventory, and monitor health in real time.

  • Automatic agent scanning
  • Shadow agent detection
  • Health monitoring dashboard
  • Framework-agnostic catalog

ML-Powered Anomaly Detection

GPU-accelerated ML models that detect behavioral drift, cost anomalies, reliability decay, and security threats in real time.

  • Behavioral drift detection
  • Cost anomaly identification
  • Reliability decay monitoring
  • Security threat detection
💰

Cost Intelligence

Token-level spend attribution by team, project, and agent. Budget guardrails, model routing optimization, and ML-powered forecasting.

  • Token-level spend attribution
  • Budget guardrails & enforcement
  • Model routing optimization
  • ML-powered spend forecasting
🛡️

Governance & Compliance

Policy-as-code framework for agent behavior. EU AI Act audit trails, HITL approval workflows, and NHI management.

  • Policy-as-code framework
  • EU AI Act audit trails
  • Human-in-the-loop workflows
  • Non-human identity management

Why Now

Three converging forces are making AI agent governance an urgent enterprise priority.

Aug 2, 2026

Regulatory Deadline

The EU AI Act enforcement deadline is approaching. Organizations deploying AI agents in the EU must demonstrate governance, audit trails, and risk classification.

144:1 NHI Ratio

Agent Sprawl

Non-human identities now outnumber employees 144-to-1. Most organizations have no visibility into which AI agents are running, what they're doing, or what they cost.

Invisible Spend

Cost Opacity

Token spend is growing exponentially but is unattributed. Teams can't see what they're spending, finance can't forecast, and nobody owns the budget.

Your Control Plane at a Glance

A single pane of glass for every AI agent in your organization.

MeshAI Control Plane — Agent Overview
Active Agents
127
+3 today
Anomalies
4
2 critical
Token Spend
$12.4K
MTD
Compliance
94%
6 actions
AgentFrameworkStatusCost (24h)Risk
sales-copilotLangGraphHealthy$234Low
support-bot-v3CrewAIDegraded$1,847Medium
data-pipelineAutoGenHealthy$89Low
unknown-agent-7UnknownShadow$412Critical

How We Compare

MeshAI is purpose-built for AI agent governance — not adapted from legacy tools.

CapabilityMeshAIDatadog / SplunkManual / Scripts
Agent Discovery
Shadow Agent Detection
ML Anomaly Detection~
Token-Level Cost Attribution
EU AI Act Compliance~
Policy-as-Code
NHI Management
Framework Agnostic

Works With Your Stack

Framework-agnostic by design. MeshAI integrates with every major agent framework and AI provider.

Agent Frameworks

Copilot StudioZapier AICrewAIAutoGenLangGraphSalesforce EinsteinServiceNowCustom Agents

AI Providers Monitored

OpenAIAnthropicGoogle AIAzure OpenAIAWS BedrockCohereMistral

ML Infrastructure

NVIDIA RAPIDScuMLTriton Inference ServerTensorRTIsolation ForestDBSCANAutoencoders

A Massive Market Emerging

The AI agent management market is projected to grow 6x in the next four years as enterprises move from experimentation to production deployment.

$8B
2026 TAM
$50B
2030 Projected

Take Control of Your AI Agent Ecosystem

Join enterprises building responsible, observable, and cost-efficient AI agent operations.

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