No. LaunchDarkly is a governance and control layer that teams use as part of their own compliance program. Paired with sound process and legal review, it can help teams meet regulatory standards and demonstrate compliance.
EU AI ActShip AI fast.
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Be EU AI Act-ready.
The EU AI Act asks teams to show what their AI was doing, who approved it, and how fast they can correct it. LaunchDarkly helps you show it.
The EU AI Act asks for evidence that many teams can't produce.
LaunchDarkly is a centralized governance and control layer that, paired with a solid compliance program, helps teams meet their regulatory standards, demonstrate compliance, and maintain release velocity.
- Prompts, models, and parameters often live in code, so the record of AI behavior is a commit history—what text changed, not which configuration was live for which users, who reviewed it, or why.
- A release cycle is the wrong pace for correcting behavior that is already reaching customers.
- When a regulator, AI review board, or customer questionnaire asks for evidence, teams often can't produce it.
- Continuously evaluate AI behavior in production, with judges scoring for accuracy, relevance, toxicity, or your own custom criteria.
- Require designated review before a prompt, model, or parameter change goes live—changes are timestamped, attributed, and retrievable, with a diff of what changed.
- Change prompts, models, and guardrails without redeploying, so a fix can be live in seconds.
Quickstart Guide
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AgentControl
- 01Define configs, evaluation, and oversight.
Move prompts, models, and parameters out of code and into configs. Set judges to score outputs against the criteria that matter for your product, and require designated review before changes go live.
- 02Release and evaluate in production.
Roll out changes gradually with guarded rollouts while online evaluations score behavior continuously. Detected regressions pause the release, with automatic rollback available.
- 03Correct in seconds, with a record.
Change prompts, models, and guardrails without redeploying—configuration changes propagate in under 200ms. Change history records who changed what, when, with a diff.
What this unlocks in production.
01
Helps demonstrate what your AI was doing, who approved it, and how quickly you corrected it.
02
Helps produce the evidence regulators, AI review boards, and security questionnaires ask for.
03
Helps you build the controls and evidence needed to show compliance while maintaining release velocity.
04
Correct your AI in seconds, not sprints.
