Lakera Guard

What is Lakera Guard?

Lakera Guard is a security layer for generative AI applications and agents, now documented under the Check Point name as AI Guardrails. Your application or AI gateway sends each user input, tool call or model output to the Guard API, which checks it against a policy and flags threats such as prompt injection, jailbreaks, leakage of sensitive data and PII, offensive content, links outside an allowed domain list and agent actions outside their mandate. Projects let you give each app its own policy and choose whether detections block traffic or are only logged, and a web dashboard shows analytics, request logs, policies and a playground. It works with any hosted or open-source model and detects threats in more than 100 languages. The Community plan costs $0 per month with 10k requests, while Enterprise is quoted through sales and adds SSO, RBAC, SIEM integration and self-hosting.

Use cases

• Block prompt injection in an LLM app
• Prevent PII leaking from model responses
• Screen tool calls made by AI agents
• Restrict which tools an agent may use
• Monitor threats in a security dashboard
• Filter offensive content in chatbot output

Who it's for

• Security teams
• AI engineers
• Enterprise IT teams
• Application developers

Why use Lakera Guard

• A single API call per interaction adds screening without rebuilding your application.
• A free Community tier lets you test detection on a real app before talking to sales.
• Project modes let you start by logging detections and move to blocking when you trust the policy.
• Coverage of tool calls and tool descriptions addresses agent and MCP risks, not just chat prompts.
• Self-hosting and EU or US data residency are available for regulated teams on Enterprise.

Lakera Guard features

• Guard API that screens inputs, tool calls and model outputs
• Detection of prompt attacks, data leakage and content violations
• Malicious link detection against an allowed domain list
• Dangerous Deviation detector and Tool Allow/Deny List for agents
• Policies and projects with Enforce or log-only modes
• Dashboard with analytics, request logs and a playground
• Detection in more than 100 languages
• Model-agnostic across hosted, open-source and fine-tuned models
• Agent discovery and risk assessment in the wider AI Agent Security product
• SaaS or self-hosted deployment

Lakera Guard integrations

• OpenAI
• Anthropic
• Cohere
• Amazon Bedrock
• Google Cloud
• Microsoft Copilot Studio
• Salesforce Agentforce
• n8n

How to get started with Lakera Guard

1. Create a project in the platform for each application you want to protect and pick a policy.
2. Generate an API key and have your app or AI gateway call the Guard API for each user input and model output.
3. Choose Enforce mode to flag or block threats, or log-only mode to review them first.
4. Review analytics and request logs in the dashboard and tune policies as new threats appear.

Lakera Guard limitations

• Community is capped at 10k screening requests per month and an 8k-token prompt size
• SSO, role-based access control and SIEM integration are Enterprise features
• The dashboard is not available to self-hosted customers
• Image defense is listed as coming soon, and audio defense is in Early Access

Lakera Guard pricing

Yes, Lakera Guard has a free plan.

Lakera Guard plans

• Community

  $0/month

  • 10k requests per month
  • 8k token prompt size
  • SaaS hosting with EU data residency
  • Dashboards and reports
  • Community support

• Enterprise

  Custom

  • Flexible request volume
  • SSO, RBAC and SIEM integration
  • SaaS or self-hosted deployment
  • EU or US data residency
  • Enterprise-level support

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Lakera Guard alternatives

The main Lakera Guard alternatives listed on Debuly are Guardrails AI, Fireraven, IronCurtain, Maitai, OpenLIT and Speakeasy AI Control Plane. The table compares pricing and platforms; order is A–Z.

1. 

   Fireraven

   Runtime guardrails and automated red-teaming that secure AI agents and help prove compliance.

   Developer platformsAutomation and agents
   Visit Fireraven (official site)
2. 

   Guardrails AI

   Open-source framework that wraps LLM apps with validators for PII, hallucination and policy checks, plus Snowglobe simulation testing.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Guardrails AI (official site)
3. 

   IronCurtain

   Open-source runtime that limits what AI agents can do, using security policy compiled from a plain-English constitution.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit IronCurtain (official site)
4. 

   Maitai

   Control plane for production AI: monitor traffic, fine-tune models and version workflows and agents from live usage.

   Developer platformsAutomation and agents
   PaidVisit Maitai (official site)
5. 

   OpenLIT

   Open-source, OpenTelemetry-native platform for tracing, evaluating and guarding AI agents, with cost and GPU monitoring

   Developer platformsCodingAutomation and agents
   Open sourceVisit OpenLIT (official site)
6. 

   Speakeasy AI Control Plane

   Governance layer between AI agents and company systems that connects MCP servers, filters risky data, scopes access by role and logs every tool call.

   Developer platformsAutomation and agents
   PaidVisit Speakeasy AI Control Plane (official site)

Lakera Guard FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from cdn.prod.website-files.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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