Lakera Guard

NewVerified

Protects LLM applications from prompt injection and adversarial attacks.

8.6 (47.272 score)

freemiumAPI Available

Overview

Lakera Guard is a security platform designed to safeguard AI applications against prompt injection, jailbreaks, and other LLM-specific attacks. It's built for teams deploying large language models in production who need real-time threat detection and mitigation. The platform offers both API-based protection and integration with existing LLM workflows.

Pros

Detects prompt injection attacks in real-time API requests
Free tier available for testing and small-scale deployments
Works with multiple LLM providers and frameworks
Easy integration via API without code changes required
Provides detailed attack logs and security insights

✕ Cons

Pricing structure unclear for production-scale usage
Limited documentation on detection accuracy rates
Requires API calls, adding latency to LLM responses

Key Features

Prompt injection detection

Real-time threat blocking

Multi-LLM provider support

Attack logging and analytics

API-based integration

Jailbreak pattern detection

Use Cases

SaaS companies protecting customer-facing chatbots from abuseEnterprises deploying internal LLM assistants securelyTeams needing compliance with AI security standardsDevelopers building production LLM applications

Best For

AI/ML EngineersSecurity TeamsLLM Application DevelopersEnterprise AI PlatformsAPI Security Managers

Frequently Asked Questions

What does Lakera Guard cost?▾

Lakera Guard offers a free tier for testing and small-scale deployments, with paid plans available for production use. Exact pricing tiers depend on request volume and required features.

How difficult is it to set up Lakera Guard?▾

Setup is straightforward since it integrates via API without requiring code changes to your existing LLM application. You can begin testing on the free tier immediately.

Which LLM providers does Lakera Guard work with?▾

It supports multiple LLM providers and frameworks, making it compatible with most major AI platforms like OpenAI, Anthropic, and others through its API-based architecture.

What are the main limitations of Lakera Guard?▾

As an API-based security layer, it adds latency to requests and requires all traffic to route through its service. It focuses specifically on prompt injection and adversarial attacks rather than broader LLM safety concerns.

What is Lakera Guard best used for?▾

It's ideal for protecting production LLM applications from prompt injection attacks by analyzing and blocking malicious requests in real-time before they reach your model.