# LaunchDarkly
> “LaunchDarkly helps teams safely manage code and AI agents in production with feature flags, progressive delivery, automated rollback, and runtime control.”

- Canonical entity: https://directory.readyscan.ai/entities/launchdarkly-q140599516
- Website listed in the source snapshot: https://launchdarkly.com/
- Category: [Software](https://directory.readyscan.ai/directory/software)
- Machine record: https://directory.readyscan.ai/discovery/entities/launchdarkly-q140599516.json
- Material fingerprint: fnv1a64:ac76aa8ac2dee141
- Entity revision: fnv1a64:8b055efdb5ff8091
- Published: 2026-10-26
- Modified: 2026-10-26

## Questions & answers
### [What is AI agent governance?](https://directory.readyscan.ai/entities/launchdarkly-q140599516#company-answer-content-native-digital-agencies-b9701814651329a8-a-62d58b4cb5818e853ac5)
“AI agent governance controls what AI agents are allowed to do in production, who can change their behavior, and how those changes are reviewed and recorded. This means access control, approval workflows, policy enforcement at runtime, and an audit trail.”
Sources: https://launchdarkly.com/solutions/ai-agent-governance/

### [How is AI agent governance different from general AI governance?](https://directory.readyscan.ai/entities/launchdarkly-q140599516#company-answer-content-native-digital-agencies-b9701814651329a8-a-8f029b7a8b54083137a3)
“AI governance is usually organizational: model risk policy, review boards, documentation, and standards. Agent governance is operational. It covers the controls that apply to a running agent, including who can change its prompts and models, which behavior each audience gets, and how quickly you can stop it.”
Sources: https://launchdarkly.com/solutions/ai-agent-governance/

### [Why do AI agents need governance that traditional software doesn't?](https://directory.readyscan.ai/entities/launchdarkly-q140599516#company-answer-content-native-digital-agencies-b9701814651329a8-a-8e54b0752b579ede340d)
“Agents act autonomously, and their behavior changes with prompts and models. A small configuration change can shift what an agent does in production, so the governance layer has to sit at runtime rather than in code review.”
Sources: https://launchdarkly.com/solutions/ai-agent-governance/

### [Can LaunchDarkly enforce different rules for different users or regions?](https://directory.readyscan.ai/entities/launchdarkly-q140599516#company-answer-content-native-digital-agencies-b9701814651329a8-a-19b894b673c24c7b95f2)
“Yes. Targeting rules let you serve different agent configurations depending on geography, entitlement, customer tier, or any other context attribute. This lets agents behave differently where regulations or contracts require it.”
Sources: https://launchdarkly.com/solutions/ai-agent-governance/

## Company sources
- [LaunchDarkly website](https://launchdarkly.com/) — launchdarkly.com · [Related Ready Scan knowledge](https://readyscan.ai/sources/source-b9701814651329a8)
- [launchdarkly.com/solutions/ai-agent-governance/](https://launchdarkly.com/solutions/ai-agent-governance/) — launchdarkly.com · [Related Ready Scan knowledge](https://readyscan.ai/sources/source-fa31d0a07c66c00d)

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