Lakera

aid: lakera-ai
url: https://raw.githubusercontent.com/api-evangelist/lakera-ai/refs/heads/main/apis.yml
apis:
- aid: lakera-ai:lakera-guard-api
  name: Lakera Guard API
  tags:
  - AI Security
  - Artificial Intelligence
  - Guard
  - Prompt Injection
  - PII
  - Content Moderation
  humanURL: https://docs.lakera.ai/docs/api/guard
  properties:
  - url: https://docs.lakera.ai/docs/api/guard
    type: Documentation
  - url: https://docs.lakera.ai/docs/quickstart
    type: GettingStarted
  - url: https://docs.lakera.ai/api-reference/lakera-api/guard/screen-content
    type: Documentation
  - url: openapi/lakera-guard-api-openapi.yml
    type: OpenAPI
  - url: json-schema/lakera-guard-request-schema.json
    type: JSONSchema
  - url: json-schema/lakera-guard-response-schema.json
    type: JSONSchema
  - url: json-structure/lakera-guard-request-structure.json
    type: JSONStructure
  - url: json-ld/lakera-ai-context.jsonld
    type: JSONLD
  - url: examples/lakera-guard-screen-content-example.json
    type: Example
  - url: examples/lakera-guard-results-example.json
    type: Example
  - type: NaftikoCapability
    url: capabilities/guard-screening.yaml
  description: Lakera Guard's runtime screening API. POST OpenAI-style chat messages to /v2/guard and receive a
    `flagged` decision based on the policy assigned to the project, with optional per-detector breakdown and
    payload-level PII/profanity match locations. Detectors cover prompt attacks, data leakage, PII, content
    violations, and unknown links across 100+ languages with sub-50ms latency. A second endpoint, /v2/guard/results,
    returns detector confidence levels (L1–L5) for offline analysis and threshold tuning without contributing to
    runtime screening logs.
- aid: lakera-ai:lakera-platform-api
  name: Lakera Platform API
  tags:
  - AI Security
  - Administration
  - Policies
  - Projects
  - Enterprise
  humanURL: https://platform.lakera.ai/docs/api
  properties:
  - url: https://platform.lakera.ai/docs/api
    type: Documentation
  - url: openapi/lakera-platform-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/platform-policies.yaml
  description: The Lakera Platform API lets Enterprise SaaS customers programmatically manage Lakera Guard
    policies and projects. Policies select detectors and per-detector sensitivity (L1–L5); projects bind a
    protected application to a policy and an API key scope. Self-hosted deployments expose additional /policies/lint
    and /policies/health endpoints plus Kubernetes startupz/readyz/livez probes for in-cluster operation.
name: Lakera
tags:
- AI Security
- Artificial Intelligence
- Generative AI
- LLM Security
- Prompt Injection
- AI Guardrails
- AI Red Teaming
- Data Loss Prevention
- Content Moderation
- Check Point
kind: contract
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
access: 3rd-Party
common:
- type: LinkedIn
  url: https://www.linkedin.com/company/lakeraai
- url: https://www.lakera.ai
  type: Portal
- url: https://docs.lakera.ai
  type: Documentation
- url: https://docs.lakera.ai/docs/api
  name: API Overview
  type: Documentation
- url: https://docs.lakera.ai/docs/quickstart
  type: GettingStarted
- url: https://docs.lakera.ai/guard
  name: Introduction to Lakera Guard
  type: Documentation
- url: https://docs.lakera.ai/docs/integration
  name: Lakera Guard Integration Guide
  type: Documentation
- url: https://docs.lakera.ai/llms.txt
  name: llms.txt index
  type: Documentation
- url: https://docs.lakera.ai/_mcp/server
  name: Lakera Docs MCP Server
  type: MCPServer
- url: https://platform.lakera.ai
  name: Lakera Platform
  type: Portal
- url: https://platform.lakera.ai/pricing
  name: Pricing
  type: Pricing
- url: https://www.lakera.ai/contact
  type: Support
- url: https://www.lakera.ai/blog
  type: Blog
- url: https://www.lakera.ai/news
  type: Press
- url: https://www.lakera.ai/customers
  name: Customers
  type: CaseStudy
- url: https://www.lakera.ai/legal/terms
  type: TermsOfService
- url: https://www.lakera.ai/legal/privacy
  type: PrivacyPolicy
- url: https://trust.lakera.ai
  type: TrustCenter
- url: https://gandalf.lakera.ai
  name: Gandalf (prompt injection game)
  type: Sandbox
- url: https://github.com/lakeraai
  type: GitHubOrganization
- url: https://github.com/lakeraai/pint-benchmark
  name: PINT Benchmark
  type: Tool
- url: https://github.com/lakeraai/guard-demo-client
  name: Lakera Guard Demo Client (Python)
  type: CodeExamples
- url: https://github.com/lakeraai/chrome-extension
  name: Lakera Chrome Extension (ChatGPT Data Leak Protection)
  type: Tool
- url: https://github.com/lakeraai/canica
  name: Canica Text Embedding Viewer
  type: Tool
- url: https://github.com/lakeraai/dsec-gandalf
  name: dsec-gandalf
  type: Tool
- url: https://github.com/lakeraai/intent-augmentation
  name: Intent Augmentation
  type: Tool
- url: https://docs.litellm.ai/docs/proxy/guardrails/lakera_ai
  name: LiteLLM Lakera Guardrail
  type: Integration
- url: plans/lakera-ai-plans-pricing.yml
  type: Plans
- url: rate-limits/lakera-ai-rate-limits.yml
  type: RateLimits
- url: finops/lakera-ai-finops.yml
  type: FinOps
- url: rules/lakera-rules.yml
  type: SpectralRules
- url: vocabulary/lakera-ai-vocabulary.yml
  type: Vocabulary
- type: Features
  data:
  - Lakera Guard — runtime AI security screening for LLM applications with sub-50ms p95 latency
  - Single-endpoint /v2/guard API following the OpenAI chat completions message format
  - Detectors for prompt attacks, data leakage, PII, content moderation, and unknown links
  - 100+ language coverage and multimodal / model-agnostic protection
  - L1–L5 confidence levels aligned with OWASP paranoia level conventions
  - Per-detector breakdown and character-level payload match locations for masking
  - /v2/guard/results endpoint for offline threshold tuning and quality monitoring
  - Policies and Projects as first-class concepts — central policy control without code changes
  - SaaS deployment with daily detector model updates and real-time analytics
  - Self-hosted deployment with bi-weekly model updates and Kubernetes probes
  - Regional endpoints — Global, US East, US West, EU West, Asia Pacific
  - Lakera Red — AI red-teaming with direct and indirect attack simulations and risk-based findings
  - Workforce AI Security — monitors employee AI usage across applications and browsers
  - AI Agent Security — runtime protection for autonomous agents and tool use
  - Gandalf — 1M+ player prompt injection challenge feeding detector training signal
  - PINT Benchmark — open prompt injection detection benchmark on GitHub
  - LiteLLM, AI gateway, and RAG pipeline integration patterns
  - MCP server at docs.lakera.ai/_mcp/server for AI client tools
  - Browser extension (Chrome) for ChatGPT data leak protection
  - Part of Check Point Software Technologies as of 2025
  sources:
  - https://www.lakera.ai/
  - https://docs.lakera.ai/docs/api
  - https://docs.lakera.ai/docs/api/guard
  - https://docs.lakera.ai/docs/api/results
  - https://docs.lakera.ai/docs/quickstart
  - https://docs.lakera.ai/guard
  - https://docs.lakera.ai/docs/integration
  - https://github.com/lakeraai
  updated: '2026-05-25'
created: '2026-05-25T00:00:00.000Z'
modified: '2026-05-25'
position: Consuming
description: Lakera is an AI-native security platform that protects GenAI applications, agents, and workforces from
  prompt injection, data leakage, PII exposure, content violations, and malicious links. Lakera Guard exposes a
  single-endpoint runtime screening API (/v2/guard) that accepts OpenAI-style chat messages and returns a flagged
  decision in sub-50ms; a companion /v2/guard/results endpoint returns L1–L5 detector confidence levels for offline
  analysis. The Lakera Platform API lets Enterprise customers manage policies (detector sensitivity and action) and
  projects (per-application bindings) programmatically. Founded in Zurich and acquired by Check Point Software in
  2025, Lakera also operates Gandalf, the 1M+ player prompt injection challenge that feeds its detector training
  pipeline, and publishes the open-source PINT benchmark for prompt injection detection evaluation.
maintainers:
- FN: Kin Lane
  email: [email protected]
  X: apievangelist
  url: https://apievangelist.com
specificationVersion: '0.16'