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Lakera Guard
New
Protects LLM applications from prompt injection and adversarial attacks.
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.
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