Lakera website screenshot

Lakera

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.

Lakera publishes 4 APIs on the APIs.io network, including Guard API, Policies API, Projects API, and 1 more. Tagged areas include AI Security, Artificial Intelligence, Generative AI, LLM Security, and Prompt Injection.

The Lakera catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Lakera’s developer surface includes authentication, developer portal, documentation, getting-started guide, pricing, support, engineering blog, and 30 more developer resources.

62.7/100 strong ▬ flat Agent 45/100 agent ready Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessFreemiumSelf serveFree trial⚡ Free to try
4 APIs 1 MCP Servers 20 Features
AI SecurityArtificial IntelligenceGenerative AILLM SecurityPrompt InjectionAI GuardrailsAI Red TeamingData Loss PreventionContent ModerationCheck Point

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 62.7/100 · strong
Contract Quality 18.4 / 25
Developer Ergonomics 13.0 / 20
Commercial Clarity 15.8 / 20
Operational Transparency 0.7 / 13
Governance 8.3 / 12
Discoverability 6.5 / 10
Agent readiness — 45/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 7 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/lakera-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 4

Individual APIs this provider publishes, each with its own machine-readable definition.

Lakera Guard API

Screen LLM inputs and outputs for threats.

Lakera Policies API

Create and manage Lakera Guard policies.

Lakera Projects API

Create and manage projects bound to policies.

Lakera Results API

Retrieve detector confidence levels without runtime enforcement.

Postman Collections 4

Ready-to-run Postman collections for exercising this provider's APIs.

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Lakera Guard API

OPEN COLLECTION

Lakera Platform API

OPEN COLLECTION

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Lakera Ai Rate Limits

0 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Features 20

Notable capabilities this provider offers.

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

Scroll for all 20

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Lakera Ai Context

34 classes · 0 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Lakera API Rules

5 rules · 4 warnings 1 info

SPECTRAL

Lakera API Rules

5 rules · 3 errors 2 warnings

SPECTRAL

JSON Schema 2

Standalone JSON Schema definitions for this provider's data models.

Lakera Guard Request

6 properties

JSON SCHEMA

Lakera Guard Response

5 properties

JSON SCHEMA

JSON Structure 1

JSON Structure definitions describing this provider's data shapes.

Lakera Guard Request Structure

0 properties

JSON STRUCTURE

Examples 2

Example request and response payloads for these APIs.

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Lakera Ai Authentication

http · 1 scheme

SECURITY

Lakera Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Lakera Ai Vulnerability Disclosure

disclosure policy published

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Lakera Ai Agentic Access

12 operations · 8 acting

12 operations · 8 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

Documentation 5

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 8

SDKs, sample code, and the tooling you integrate with

Scroll for all 8

Access & Security 5

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 5

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: lakera-ai
url: https://raw.githubusercontent.com/api-evangelist/lakera-ai/refs/heads/main/apis.yml
apis:
- aid: lakera-ai:lakera-ai-guard-api
  name: Lakera Guard API
  description: Screen LLM inputs and outputs for threats.
  humanURL: https://docs.lakera.ai/docs/api/guard
  tags:
  - Guard
  properties:
  - type: OpenAPI
    url: openapi/lakera-ai-guard-api-openapi.yml
  - type: Documentation
    url: https://docs.lakera.ai/docs/api/guard
  - type: GettingStarted
    url: https://docs.lakera.ai/docs/quickstart
  - type: Documentation
    url: https://docs.lakera.ai/api-reference/lakera-api/guard/screen-content
  - type: JSONSchema
    url: json-schema/lakera-guard-request-schema.json
  - type: JSONSchema
    url: json-schema/lakera-guard-response-schema.json
  - type: JSONStructure
    url: json-structure/lakera-guard-request-structure.json
  - type: JSONLD
    url: json-ld/lakera-ai-context.jsonld
  - type: Examples
    url: examples/lakera-guard-screen-content-example.json
  - type: Examples
    url: examples/lakera-guard-results-example.json
  - type: Documentation
    url: https://platform.lakera.ai/docs/api
- aid: lakera-ai:lakera-ai-policies-api
  name: Lakera Policies API
  description: Create and manage Lakera Guard policies.
  humanURL: https://docs.lakera.ai/docs/api/guard
  tags:
  - Policies
  properties:
  - type: OpenAPI
    url: openapi/lakera-ai-policies-api-openapi.yml
  - type: Documentation
    url: https://docs.lakera.ai/docs/api/guard
  - type: GettingStarted
    url: https://docs.lakera.ai/docs/quickstart
  - type: Documentation
    url: https://docs.lakera.ai/api-reference/lakera-api/guard/screen-content
  - type: JSONSchema
    url: json-schema/lakera-guard-request-schema.json
  - type: JSONSchema
    url: json-schema/lakera-guard-response-schema.json
  - type: JSONStructure
    url: json-structure/lakera-guard-request-structure.json
  - type: JSONLD
    url: json-ld/lakera-ai-context.jsonld
  - type: Examples
    url: examples/lakera-guard-screen-content-example.json
  - type: Examples
    url: examples/lakera-guard-results-example.json
  - type: Documentation
    url: https://platform.lakera.ai/docs/api
- aid: lakera-ai:lakera-ai-projects-api
  name: Lakera Projects API
  description: Create and manage projects bound to policies.
  humanURL: https://docs.lakera.ai/docs/api/guard
  tags:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/lakera-ai-projects-api-openapi.yml
  - type: Documentation
    url: https://docs.lakera.ai/docs/api/guard
  - type: GettingStarted
    url: https://docs.lakera.ai/docs/quickstart
  - type: Documentation
    url: https://docs.lakera.ai/api-reference/lakera-api/guard/screen-content
  - type: JSONSchema
    url: json-schema/lakera-guard-request-schema.json
  - type: JSONSchema
    url: json-schema/lakera-guard-response-schema.json
  - type: JSONStructure
    url: json-structure/lakera-guard-request-structure.json
  - type: JSONLD
    url: json-ld/lakera-ai-context.jsonld
  - type: Examples
    url: examples/lakera-guard-screen-content-example.json
  - type: Examples
    url: examples/lakera-guard-results-example.json
  - type: Documentation
    url: https://platform.lakera.ai/docs/api
- aid: lakera-ai:lakera-ai-results-api
  name: Lakera Results API
  description: Retrieve detector confidence levels without runtime enforcement.
  humanURL: https://docs.lakera.ai/docs/api/guard
  tags:
  - Results
  properties:
  - type: OpenAPI
    url: openapi/lakera-ai-results-api-openapi.yml
  - type: Documentation
    url: https://docs.lakera.ai/docs/api/guard
  - type: GettingStarted
    url: https://docs.lakera.ai/docs/quickstart
  - type: Documentation
    url: https://docs.lakera.ai/api-reference/lakera-api/guard/screen-content
  - type: JSONSchema
    url: json-schema/lakera-guard-request-schema.json
  - type: JSONSchema
    url: json-schema/lakera-guard-response-schema.json
  - type: JSONStructure
    url: json-structure/lakera-guard-request-structure.json
  - type: JSONLD
    url: json-ld/lakera-ai-context.jsonld
  - type: Examples
    url: examples/lakera-guard-screen-content-example.json
  - type: Examples
    url: examples/lakera-guard-results-example.json
  - type: Documentation
    url: https://platform.lakera.ai/docs/api
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
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: true
  try_now: true
  public: false
  label: Freemium (free trial) · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/lakera-ai.png
access: 3rd-Party
common:
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/lakera/overview
- type: AgenticAccess
  url: agentic-access/lakera-ai-agentic-access.yml
- type: TrustCenter
  url: security/lakera-ai-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/lakera-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/lakera-ai-domain-security.yml
- type: Authentication
  url: authentication/lakera-ai-authentication.yml
- 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: Tools
- 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: Tools
- url: https://github.com/lakeraai/canica
  name: Canica Text Embedding Viewer
  type: Tools
- url: https://github.com/lakeraai/dsec-gandalf
  name: dsec-gandalf
  type: Tools
- url: https://github.com/lakeraai/intent-augmentation
  name: Intent Augmentation
  type: Tools
- url: https://docs.litellm.ai/docs/proxy/guardrails/lakera_ai
  name: LiteLLM Lakera Guardrail
  type: Integrations
- 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: info@apievangelist.com
  X: apievangelist
  url: https://apievangelist.com
specificationVersion: '0.16'