Lakera

Lakera Red

Lakera Red is an automated red teaming product that probes GenAI applications for jailbreaks, prompt injection, data leakage, and other adversarial failures, then produces a risk-based remediation report. Designed for security teams evaluating AI applications prior to production deployment and for ongoing assurance of agentic systems.

GitHub

Documentation

📖
Documentation
https://www.lakera.ai/ai-red-teaming

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools

Call it yourself

curl for this page
This API 
curl "https://apis.io/api/v1/apis/lakera-red"
All apis 
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no email required.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.

API entry from apis.yml

apis.yml Raw ↑ 
aid: lakera:lakera-red
name: Lakera Red
tags:
- Red Teaming
- AI Security
- Vulnerability Assessment
- GenAI Testing
humanURL: https://www.lakera.ai/ai-red-teaming
properties:
- url: https://www.lakera.ai/ai-red-teaming
  type: Documentation
description: Lakera Red is an automated red teaming product that probes GenAI applications for jailbreaks,
  prompt injection, data leakage, and other adversarial failures, then produces a risk-based remediation
  report. Designed for security teams evaluating AI applications prior to production deployment and for
  ongoing assurance of agentic systems.