AI Security🔴Developer

Lakera

Name: Lakera
Brand: Lakera
Availability: InStock

Real-time AI security platform that protects LLM applications from prompt injection, data exfiltration, jailbreaks, and unsafe outputs.

Starting atFree

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In Plain English

Real-time AI security platform that protects LLM applications from prompt injection, data exfiltration, jailbreaks, and unsafe outputs.

Overview

Lakera Guard is a real-time API for prompt injection, jailbreak, and PII detection trained on 60M+ attacks from Gandalf, plus Red for automated AI red-teaming.

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Difficulty:intermediate

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Key Features

Feature information is available on the official website.

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Pricing Plans

Free Developer

Free

Pro / Production

Custom

Enterprise

Custom

See Full Pricing →Free vs Paid →Is it worth it? →

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Best Use Cases

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Enterprise LLM apps needing OWASP LLM Top 10 coverage

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RAG systems hardening against indirect prompt injection

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Compliance teams enforcing PII and content policies on LLM I/O

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AI security teams running continuous red-team campaigns

Pros & Cons

✓ Pros

✓Detection models trained on the largest public adversarial dataset (Gandalf, 60M+)
✓Latency genuinely fast enough for synchronous inline use, not just async logging
✓Both prompt and response screening in one API — covers the full I/O surface
✓SOC 2 Type II + EU origin makes compliance conversations easier
✓Open PINT benchmark gives credibility versus closed-evaluation competitors

✗ Cons

✗Pricing opacity makes early-stage budgeting hard — must talk to sales
✗Free tier is small (1K req/month) — production prototypes hit limits fast
✗Adds a network hop and per-call cost on top of the LLM bill
✗Custom policies still require some prompt-engineering expertise to author
✗No general-purpose content moderation beyond the LLM-security focus

Frequently Asked Questions

How much does Lakera cost?+

Lakera pricing starts at Free. They offer 3 pricing tiers including a free option.

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Quick Info

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More about Lakera

Pricing Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

Pros & Cons

✓ Pros

✓Detection models trained on the largest public adversarial dataset (Gandalf, 60M+)
✓Latency genuinely fast enough for synchronous inline use, not just async logging
✓Both prompt and response screening in one API — covers the full I/O surface
✓SOC 2 Type II + EU origin makes compliance conversations easier
✓Open PINT benchmark gives credibility versus closed-evaluation competitors

✗ Cons

✗Pricing opacity makes early-stage budgeting hard — must talk to sales
✗Free tier is small (1K req/month) — production prototypes hit limits fast
✗Adds a network hop and per-call cost on top of the LLM bill
✗Custom policies still require some prompt-engineering expertise to author
✗No general-purpose content moderation beyond the LLM-security focus