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 31 more developer resources.

🌐 Visit website 📡 Source on GitHub

55.3/100 strong ▬ flat Agent 26/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessFreemiumSelf serveFree trial⚡ Free to try

2 APIs 1 MCP Servers 20 Features

AI Security Artificial Intelligence Generative AI LLM Security Prompt Injection AI Guardrails AI Red Teaming Data Loss Prevention Content Moderation Check Point

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 55.3/100 · strong

Contract Quality 16.6 / 23

Developer Ergonomics 10.5 / 18

Access Clarity 14.2 / 18

Operational Transparency 0.6 / 12

Contract Governance 3.1 / 11

Discoverability 5.3 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 26/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. 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. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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.

Lakera Guard API

POSTMAN

Lakera Guard Policies API

POSTMAN

Lakera Guard Projects API

POSTMAN

Lakera Guard Results API

POSTMAN

Open Collections 7

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

API Collection

OPEN COLLECTION

Lakera Guard API

OPEN COLLECTION

Lakera Guard Policies API

OPEN COLLECTION

Lakera Guard Projects API

OPEN COLLECTION

Lakera Guard Results API

OPEN COLLECTION

Lakera Guard API

OPEN COLLECTION

Lakera Platform API

OPEN COLLECTION

Scroll for all 7

MCP Servers 1

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

Lakera Docs MCP Server

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Lakera Ai Plans Pricing

4 plans

PLANS

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.

Lakera Ai Finops

FINOPS

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.

Lakera Guard Results Example

2 fields

EXAMPLE

Lakera Guard Screen Content Example

2 fields

EXAMPLE

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

Lakera Ai Trust Center

GDPR

SECURITY

Agentic Access 1

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

Lakera Ai Agentic Access

12 operations · 8 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

Portal

GettingStarted

Portal

Sandbox

Documentation 5

Reference material describing how the API behaves

Documentation

Documentation

Documentation

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

MCPServer

MCPServer

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

Build 8

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

Tools

CodeExamples

Tools

Tools

Tools

Tools

Scroll for all 8

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

TrustCenter

TrustCenter

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 5

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

FinOps

Company 4

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

Press

Press

Other 1

Properties that don't map to a standard resource type

CaseStudy

CaseStudy

Source (apis.yml)

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:
  - Project
  tags_raw:
  - 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
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: true
  try_now: true
  public: false
  label: Freemium (free trial) · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/lakera-ai.png
access: 3rd-Party
common:
- type: Website
  url: https://www.lakera.ai/
- 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: '0.23'

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