EU AI Act deadline: Aug 2, 2026
The Agent Control Plane

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

Four detection algorithms running every 5 minutes catch cost spikes, reliability decay, behavioral drift, and security threats — with configurable alerts and webhooks.

  • Z-score cost spike detection
  • Error rate & latency decay alerts
  • New model usage drift detection
  • Dormant agent reactivation alerts
💰

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

Eight policy types enforced in real-time through the proxy. Immutable audit trails, EU AI Act readiness scoring, HITL approval workflows, and risk classification with AI-assisted suggestions.

  • Real-time policy enforcement (8 types)
  • EU AI Act compliance readiness score
  • Human-in-the-loop approval queue
  • Agent kill switch, ABAC, dependency graph
  • Prompt injection & PII detection at proxy

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.

CapabilityMeshAIObservability ToolsManual / 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

CrewAILangGraphAutoGenLlamaIndexPydantic AIAgnoSemantic KernelCopilot StudioSalesforce EinsteinServiceNowOpenClawNemoClawCustom Agents

AI Providers Monitored

OpenAIAnthropicGoogle GeminiAWS BedrockAzure OpenAINVIDIA NemotronCohereMistral

Developer Tools (via MCP Server + Proxy)

Claude DesktopClaude CodeCursorWindsurfVS Code CopilotJetBrains IDEsClineRoo CodeKilo CodeAWS KiroZedWarpContinue.devAmazon QGemini CLICodex

Detection & ML Stack

Z-Score DetectionARIMA ForecastingBigQuery MLOpenTelemetry IngestionWebhook AlertsReal-Time Redis Pub/SubNVIDIA NIM

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

Frequently Asked Questions

Common questions about MeshAI, the EU AI Act, and AI agent governance.

Does the EU AI Act apply to non-EU companies?+

Yes. Like GDPR, the EU AI Act has extraterritorial reach. If your non-EU company's AI system reaches the EU market or its outputs are used by EU residents, the same fines apply. Fines are based on global turnover — up to 7% worldwide.

What if my non-EU company uses third-party AI that serves EU customers?+

You're classified as a "deployer" under the EU AI Act. Even if the AI is from a third party, you can't shift responsibility to the provider. If EU residents consume the output, you must comply — audit trails, transparency, risk classification. MeshAI automates all of this.

What are the different roles under the EU AI Act?+

The Act defines 6 roles: Provider (builds the AI), Deployer (uses the AI), Importer, Distributor, Authorized Representative, and Product Manufacturer. Most MeshAI customers are deployers. Important: if you modify the AI's intended purpose, you become a provider with heavier obligations.

What are the fines for non-compliance?+

Up to €35 million or 7% of global annual turnover for prohibited practices. Up to €15 million or 3% for high-risk AI obligations. For SMEs and startups, fines are the lower of the two amounts.

Does MeshAI store my prompts or completions?+

No. MeshAI never stores prompt text or completion content. We only store operational metadata: token counts, cost estimates, latency, and model names. All data encrypted at rest (AES-256) and in transit (TLS 1.2+).

Do I need to change my code?+

No. The MeshAI proxy works with one environment variable change — zero code modifications. All requests flow through transparently with less than 5ms overhead.

What frameworks do you support?+

11 frameworks: OpenAI, Anthropic, CrewAI, LangChain/LangGraph, AutoGen, Google Gemini, AWS Bedrock, LlamaIndex, Agno, Pydantic AI, and Semantic Kernel. Enterprise platforms (Copilot Studio, Salesforce Einstein) work through the proxy.

Can MeshAI monitor Cursor, Claude Desktop, or VS Code?+

Yes. Two integration paths: (1) Tools that support custom API base URLs (Cursor, Claude Code, Cline, Codex) route traffic through the MeshAI proxy with one env var. (2) Tools without proxy support (Claude Desktop, VS Code, JetBrains, Windsurf, Zed, Warp) use the MeshAI MCP Server — a lightweight plugin that registers the tool, tracks usage, checks policies, and reports compliance. No install needed — just add npx -y @meshailabs/mcp-server to your tool's MCP config.

How is MeshAI different from Langfuse or AgentOps?+

They focus on observability — tracing and debugging. MeshAI does observability plus governance: 8 policy types enforced in real-time, HITL approvals, kill switch, prompt injection detection, PII filtering, and EU AI Act compliance scoring. No competitor combines monitoring and governance.

What happens if MeshAI goes down?+

The proxy fails gracefully — governance policies fail open, so your agents keep working. Configure fallback to direct provider URLs for full resilience. The proxy runs on Cloud Run with 2-50 auto-scaling instances.

More questions? Check our full FAQ or contact us.

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