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Platform

AI Control Plane for
IT and Security

New AI Infrastructure to demonstrate governance and control of AI usage across the enterprise

Live AI Inventory

Discover, provision, and approve every managed AI agent in real time

100% Agent visibility
Behavior Database

Record and replay every agent action

Policy Catalog

Orchestrate IT and security guardrails

Arbiter — Runtime Enforcement

Evaluate and authorize every agent action before it executes

Real-time Action enforcement

Designed for Modern AI Infrastructure

Anthropic
Cursor
LiteLLM
Jira
Databricks
Amazon
Google
Microsoft
Wiz
Zscaler
Anthropic
Cursor
LiteLLM
Jira
Databricks
Amazon
Google
Microsoft
Wiz
Zscaler

How It Works

A single control plane connecting AI agents to enterprise systems

AI Agent Control Plane
Live AI Inventory
Discover, Provision, Approve
managed AI agents
Behavior Database
Monitor, Record, Replay
every AI agent action
Policy Catalog
Orchestrate IT and Security actions
for managed AI agents
Arbiter
Evaluate, Authorize, Enforce
every action at runtime
LangGuard GRAIL FabricTM
New Enterprise AI Ecosystem
AI Gateways (Open Router, LiteLLM)
MCP Gateways (ContextForge)
Agent Builder Platforms (GCP, AWS, Azure)
Systems of Record
IT Assets (ServiceNow, Jira)
Cloud Assets (Wiz)
Data Catalog (Databricks)
Enterprise Integrations
IAM (Okta, Entra)
Security (DLP, AppSec)
SecOps (SIEM, IR)

Two engines, one control plane

LangGuard governs AI agents across their full lifecycle — mapping what they can do before they ship, and authorizing what they do at runtime.

Design Time

LangGuard SCOPE-MCP

Action Surface Validation

Maps and classifies the complete action surface of every agent and MCP server before it ships — pre-scored against Segregation of Duties rules and SOX, GDPR, and ISO 42001. Know your exposure before it becomes your incident.

Explore SCOPE-MCP →
Runtime

LangGuard Arbiter

Runtime Governance & Enforcement

Deterministically evaluates every agent action before it executes. Safe actions clear automatically with no added latency; actions that cross an SoD boundary or policy threshold are routed to named human approvers before they complete — not flagged after the fact. The authorization is the governance; the audit trail is automatic.

See how Arbiter works →

Three Pillars of AI Governance

The foundational capabilities every enterprise needs to govern AI agents at scale

01

Accountability

"What are the approved AI assets in use?"

Gain visibility into AI assets that previously have no system of record

02

Traceability

"How is the approved AI agent behaving in use?"

Provision and approve AI assets, not just code or infrastructure

03

Auditability

"Is the AI agent behaving as intended?"

Provide immutable evidence of AI agent decisions and behaviors

Recognized need by Industry Analysts

Leading analysts recognize the AI Control Plane as critical enterprise infrastructure

Forrester

Forrester

An agent control plane is an enterprise control plane that inventories, governs, orchestrates, and assures heterogeneous AI agents across vendors and domains.

Gartner

Gartner

As enterprises move to AI agents that take action, the control plane serves as the "missing" infrastructure for ensuring observability.

Opus Research

Opus Research

AI agent control plane as the shared brain and rulebook that sits above experience and applications.

Ready to take control?

See how LangGuard gives IT and Security teams governance over every AI agent in the enterprise.

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