Product

Lakera Guard

by Lakera

Product website
https://www.lakera.ai
Documentation
https://docs.lakera.ai/docs/landing
Pricing
https://platform.lakera.ai/pricing
Categories
LLM Security & Guardrails

Description

Runtime security guardrails that protect LLM applications from prompt injection and other threats.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 38% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration1/10Trust1/6Portability3/4Security2/4Tier D31/100
Component Raw Weight Contribution
Integration 1/10 35% 3.5
Trust 1/6 30% 5.0
Portability 3/4 20% 15.0
Security 2/4 15% 7.5
Signals that fired
  • Integration: API spec, OpenAPI / gRPC / GraphQL (+1)
  • Trust: Sandbox environment (available, +1)
  • Portability: Standard protocol access (+1) ; No proprietary-SDK lock-in (+1) ; Self-hostable (+1)
  • Security: Compliance certifications (+1) ; Access controls — RBAC / ABAC (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, Headless signup, MCP servers, Native connectors, Command-line interfaces, Agent skills, Developer kits
  • Trust & data policy: Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Data export, Data import, Open standards, Documented provider swap, Open source

Trust & data policy

Sandbox environment
Available
Standard protocol access
Yes
No proprietary-SDK lock-in
Yes
Self-hostable
Yes

Not yet researched Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Data export, Data import, Open standards, Documented provider swap, Open source

Security & compliance

Certifications and access controls this product reports on its own pages. We confirm the vendor lists each one; for certifications we don't audit the underlying report. Part of the 15% security score.

A shared trust or security page can support several certifications. We do not require separate public report links because reports may require login, vendor approval, or a nondisclosure agreement. Ask the vendor for reports and applicable coverage before a procurement decision. These listings expose no per-claim check date; the entry's updated date does not date the supporting evidence.

Compliance certifications

SOC 2

Access controls

RBAC

What it does

Jobs to be done

  • Protect AI applications from security threats

    Detect or block malicious instructions, unsafe tool use, or sensitive data exposure in AI applications.

    View 3 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

WebMCP
No

API specs

Confirmed absent Agent2Agent (A2A) servers

Not yet researched llms.txt, Headless signup, MCP servers, Native connectors, Command-line interfaces, Agent skills, Developer kits

Offers

Full pricing page

Community

Free

10,000 requests per month; maximum prompt size 8,000 tokens.

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

Products from other publishers that share a job-to-be-done or category, most-shared first.

  • LiteLLM by LiteLLM Unrated

    Same job: Protect AI applications from security threats (not assessed)

  • Snyk Agent Scan by Snyk Unrated

    Same job: Protect AI applications from security threats (not assessed)

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Lakera Guard — listed on Open Agent Guide Lakera Guard — listed on Open Agent Guide

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Markdown

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Ready to decide?

Unrated · 38% researched. Grade withheld until more fields are verified.

Visit Lakera Guard