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

LangGuard Architecture

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
Accountability Traceability Auditability
“What are the approved AI assets in use?” “How is the approved AI agent behaving in use?” “Is the AI agent behaving as intended?”
Gain visibility into AI assets that previously have no system of record Provision and approve AI assets, not just code or infrastructure Provide immutable evidence of AI agent decisions and behaviors

Recognized need by Industry Analysts

FORRESTER GARTNER OPUS RESEARCH
An agent control plane is an enterprise control plane that inventories, governs, orchestrates, and assures heterogeneous AI agents across vendors and domains. Critical governance-and-operations layer designed to securely manage, monitor, and orchestrate AI agents and models at scale. As enterprises move to AI agents that take action, the control plane serves as the “missing” infrastructure for ensuring observability. AI agent control plane as the shared brain and rulebook that sits above experience and applications.