Runtime enforcement gate
Execlave checks each agent action before it reaches tools, APIs, databases, or files, then allows, pauses, or blocks execution based on your policies.
Execlave is an AI agent governance platform that checks actions before external systems, with audit logs for compliance. Managed cloud or self-hosted.
Execlave is an AI agent governance and enforcement platform that sits between your agents and the systems they can touch. Its stated purpose is to prevent unapproved actions before they happen and to produce audit evidence for compliance and review.
The product combines runtime policy enforcement with agent-management controls such as autonomy tiers, cost limits, agent registry and lifecycle tracking, permission-drift detection, and data-access lineage. It is available as a managed cloud service or as a self-hosted deployment on your own infrastructure.
Execlave checks each agent action before it reaches tools, APIs, databases, or files, then allows, pauses, or blocks execution based on your policies.
The platform records structured traces with input, output, model name, token counts, latency percentiles, and cost tracking, with searchable timelines and session grouping.
You can define policy controls for cost limits, model restrictions, content filters, prompt-injection guards, and allow or warn rules.
Execlave includes a server-side kill switch that can stop all agents, with response times described as under 6 ms.
The management layer covers autonomy tiers, a real-time cost circuit breaker, agent registry and versioning, permission-drift detection, eval-to-policy suggestions, and data-access lineage.
Deployment is available in managed cloud or self-hosted mode, with Docker Compose or Kubernetes mentioned for self-hosted use and the same product in both modes.
Use Execlave when you need a policy gate between an agent and the tools it can call, so database access, API calls, and file actions are checked before execution.
Use the platform to generate audit logs and compliance reports from actual agent activity when security, legal, or audit teams need proof of what happened.
Apply cost caps and burn-rate controls when multiple agents or teams could create unpredictable spend across org, agent, user, or workspace levels.
Use the registry, version history, drift detection, and rollback controls when you need to track agent changes and catch newly expanded permissions.
Choose self-hosted deployment when prompt logs or customer interactions must remain inside your own infrastructure for compliance or sovereignty reasons.
Enforcement decisions complete in under 20 ms at p50 and under 30 ms at p99 on local deployment with 10 concurrent connections. The product is designed so model inference, not enforcement, dominates user-facing latency.
Yes. Self-hosted deployment is included on every paid plan, and the source also describes a free cloud tier for non-commercial evaluation. In self-hosted mode, Execlave runs on your infrastructure and your data stays within your network.
The source lists seven frameworks: SOC 2 Type II, ISO 27001, EU AI Act, GDPR, HIPAA, PCI DSS, and NIST AI RMF. Compliance reports are generated from the actual audit log.
Execlave sits between the agent and the systems it can act on, such as tools, APIs, databases, and files. It focuses on tool-level governance and auditability rather than prompt-only input/output filtering.
Yes. The product description says you can add three lines to an agent to start tracing actions, tokens, and cost, then define policies and ship with a kill switch available one click away.
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