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
Execlave is an AI agent governance and enforcement platform that checks agent actions before they reach external systems and produces audit logs for compliance review. It supports managed cloud and self-hosted deployment for teams running AI agents in production.
What Execlave does
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.
Core capabilities
Real-time traces and audit logs
The platform records structured traces with input, output, model name, token counts, latency percentiles, and cost tracking, with searchable timelines and session grouping.
Policy-based controls
You can define policy controls for cost limits, model restrictions, content filters, prompt-injection guards, and allow or warn rules.
Kill-switch control
Execlave includes a server-side kill switch that can stop all agents, with response times described as under 6 ms.
Agent management controls
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.
Flexible deployment options
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.
Common use cases
Control agent access to systems
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.
Support compliance and audits
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.
Manage AI spend in real time
Apply cost caps and burn-rate controls when multiple agents or teams could create unpredictable spend across org, agent, user, or workspace levels.
Operate an agent fleet
Use the registry, version history, drift detection, and rollback controls when you need to track agent changes and catch newly expanded permissions.
Keep data on your infrastructure
Choose self-hosted deployment when prompt logs or customer interactions must remain inside your own infrastructure for compliance or sovereignty reasons.
Pros and Cons
Pros
- Checks agent actions before they reach external systems, rather than relying only on prompt-layer filtering.
- Provides structured audit trails and compliance reports generated from actual logs.
- Supports both managed cloud and self-hosted deployment with the same product.
- Includes operational controls such as cost caps, drift detection, and a kill switch.
- Lists broad compliance coverage across seven frameworks on the site.
Cons
- The public pages provide limited detail on third-party integrations beyond SDKs, a public API, SSO-ready support, and webhooks.
- The free plan is restricted to non-commercial cloud evaluation, while self-hosted starts at Starter.
- Some capabilities are described at a high level without full workflow examples or documentation depth on the main pages.
FAQ
How fast is the enforcement layer?
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.
Can Execlave run on my own infrastructure?
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.
Which compliance frameworks does Execlave cover?
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.
How is Execlave different from prompt-layer guardrails?
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.
What does setup look like at a high level?
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.
Quick Facts
- Category
- AI agent governance and enforcement
- Deployment
- Managed cloud or self-hosted
- Self-hosted format
- Docker Compose or Kubernetes
- Primary users
- Teams running AI agents in production
- Source domain
- execlave.com
- Included plan notes
- Free cloud evaluation and paid self-hosted availability
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