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Integration / Developer Tools & DevOps

Lakera Guard integration

Lakera Guard screens AI application interactions for security and safety risks and provides Enterprise APIs for managing guardrail policies and projects.

About Lakera Guard

Lakera Guard is an AI security platform that screens prompts, responses, and application interactions for safety risks. It helps teams detect prompt injection, unsafe content, and policy violations before they reach users.

All integrations
Category
Developer Tools & DevOps, AI & Machine Learning
Connection
API key
Type
Tool
Actions
10
Tags
library

Example prompts

What you can ask Growf to do with Lakera Guard

  • Screen prompts for injection attempts
  • List active Lakera Guard projects
  • Flag unsafe chatbot responses before sending

Available actions

10 actions your agents can run in Lakera Guard

  • Create Policy

    Create an Enterprise Lakera policy with built-in detectors and/or custom guardrails. Lakera may omit the new policy ID; if omitted, later retrieval, replacement, and deletion require external policy lookup.

  • Create Project

    Create an Enterprise Lakera project, optionally assigning a policy, metadata, and detect-or-flag action. Omit policy_id to use the default policy. Lakera does not return the generated project ID, so later retrieval, updates, and deletion require external project lookup.

  • Delete Policy

    Permanently delete an Enterprise Lakera policy by ID. The provider rejects deletion while any project is assigned to the policy.

  • Delete Project

    Permanently and irreversibly delete an Enterprise Lakera project by ID. Historical requests lose their association with the project's metadata and assigned policy.

  • Evaluate Detectors

    Evaluate content and return one confidence result per configured detector without producing an aggregate flagging decision or Guard screening log. Use for analysis and tuning, not runtime allow/block decisions.

  • Get Policy

    Retrieve an Enterprise Lakera policy by ID, including its detector configuration, custom guardrails, version, and assigned projects.

  • Get Project

    Retrieve an Enterprise Lakera project by ID, including its assigned policy, metadata, and detect-or-flag action.

  • Screen Content

    Screen the latest LLM or agent interaction with Lakera Guard and return the policy decision. Use this for runtime allow/block decisions; earlier messages provide context, but only the latest interaction is screened.

  • Update Policy

    Replace an Enterprise Lakera policy's complete configuration and create a new policy version. Omitted detectors or custom guardrails are removed, so retrieve the policy first when preserving existing settings.

  • Update Project

    Update an Enterprise Lakera project by ID. Name is required by the official request schema; retrieve the project first when preserving its current name or other optional settings.

Put Lakera Guard to work inside Growf.

Connect it once and every workspace, agent and workflow can use it — securely, with your team in the loop.