Agentic AI Governance

Govern every AI agent across your organization

As agentic AI expands across your enterprise, governance can't be an afterthought.

LangSmith gives you the observability, policy controls, and identity management you need to govern AI agents at scale — from prototype to production.

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LangSmith dashboard showing AI agent governance controls and monitoring

How LangSmith delivers agentic AI governance

1

Define your governance framework

Establish policies, permissions, and behavioral boundaries for your agents. LangSmith captures full traces of every agent action so you can measure compliance against your framework.

2

Validate policies before deployment

Run systematic evaluations to confirm governance controls hold before agents reach production. Test edge cases, access patterns, and policy enforcement with real agent behavior.

3

Monitor and enforce at scale

Get continuous visibility into policy adherence, agent identity, and access patterns across your entire fleet. Catch violations early and iterate your governance framework as agents evolve.

LangSmith powers top engineering teams, from AI startups to global enterprises

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Writer
Harvey
Vanta
Abridge
Clay
Rippling
Mercor
Listen Labs
dbt Labs
Klarna
Headspace
Lyft
Coinbase
Rakuten
LinkedIn
Elastic
Workday
Monday.com

Trusted to govern AI agents at scale

Enterprise teams rely on LangSmith to maintain oversight and accountability across their most critical agentic AI applications

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LLM Calls Traced
1B+
Events Ingested per Day
100K+
Monthly active orgs in LangSmith SaaS

LangSmith AI Agent Governance Platform

A complete governance framework for agentic AI — from identity and access to policy enforcement and compliance

Know exactly what every agent did, when it did it, and why. LangSmith traces all agent actions, tool invocations, and data access events — giving you the audit history your governance and compliance teams require.

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LangSmith Observability interface showing agent audit trail

Built for Enterprise

Governance, security, and compliance at scale

LangSmith meets the demanding governance, security, and compliance requirements of large organizations deploying agentic AI across their business.

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Granular permissions

Role-based access control with org-level permissions and project isolation. Define exactly who can deploy, monitor, or modify agents and their governance policies.

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SOC 2 Type II

Third-party security certification with comprehensive controls — so your governance infrastructure is itself governed to the highest standards.

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Self-hosted deployment

Run LangSmith in your own environment to satisfy data residency, air-gap, and compliance requirements without compromising governance coverage.

Why leading enterprises choose LangSmith for agentic AI governance

Agentic identity governance built in

Track which agent acted, with which identity, on which data. LangSmith gives you the audit trails and access visibility required for responsible agentic identity governance.

Governance playbook you can act on

Go beyond policy documents. LangSmith gives you the tooling to implement your agentic AI governance playbook — with evaluations, monitoring, and enforcement working together.

Framework-agnostic governance

Govern agents built on any stack — LangChain, Anthropic, CrewAI, AutoGen, or custom code. Your governance framework applies consistently regardless of how agents are built.

How enterprise teams govern AI agents with LangSmith

Elastic

"Working with LangSmith on the Elastic AI Assistant had a significant positive impact on the overall pace and quality of our development and shipping experience. We couldn't have delivered the product experience our customers now have without LangSmith—and we couldn't have done it at the same pace without it."

James Spiteri, Director of Security Product Management at Elastic

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Rakuten

"What we really needed was a more structured way to test new approaches, something better than just shipping and seeing what happened. LangSmith gave us a more scientific, structured way to understand what was actually working, whether that meant running pairwise evaluations or digging into why accuracy jumped from 70% to 80%. Our engineers especially love the intuitive debugging experience, it's saved us a lot of time."

Yusuke Kaji, General Manager of AI for Business Development at Rakuten

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Get a Demo of LangSmith for AI Agent Governance

See how LangSmith helps enterprise teams implement agentic AI governance frameworks, enforce policies, and maintain accountability across their agent fleet.