Lakera AI

Lakera AI is a state-of-the-art security solution built to defend generative AI systems from evolving risks, including prompt injections, data exposure, and unsafe content generation. It delivers real-time threat monitoring and mitigation through a simple API integration, allowing developers to protect AI-driven chatbots, RAG setups, and autonomous agents with low latency. Supported by a dynamic threat intelligence database with tens of millions of attack samples, Lakera helps meet regulatory standards while preserving fluid user interactions across diverse AI models and languages.

Key Features

Proactive Threat Identification: Detects and neutralizes malicious prompt injections and AI-focused cyber threats in real time to avoid system manipulation and security breaches.

Robust Content Filtering: Screens out and blocks harmful, unsuitable, or non-compliant content to promote safe AI engagements.

Effortless Integration: A developer-centric API enables quick setup with few code adjustments, working seamlessly with popular LLMs like GPT and Claude, as well as proprietary models.

Rich Threat Knowledge Base: Leverages an expanding repository of more than 30 million AI-specific attack instances to improve detection precision.

Unified Policy Management: Offers tailored security rules that can be applied consistently to various AI applications without modifying core code.

Cross-Modal and Language Flexibility: Protects AI implementations across different input modes and numerous languages, with upcoming support for over 100 tongues.

Use Cases

Safe Conversational Interfaces: Shields chatbots and voice assistants from unauthorized access, prompt attacks, and data leaks while upholding compliance.

RAG Architecture Protection: Secures retrieval-augmented generation agents by blocking corrupted data inputs and guaranteeing reliable AI responses.

Enterprise GenAI Gateway Defense: Centralizes security for organizational AI gateways, identifies harmful behavior, and ensures compliance in multi-team processes.

External API Security: Protects AI agents that communicate with third-party systems from unauthorized use, data loss, and hostile interventions.

Regulatory Adherence and Risk Mitigation: Helps maintain conformity with norms such as GDPR and SOC-2 by providing live oversight and command over AI activities.