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Lakera
Monitor, protect, and control your AI agents.

Lakera
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Home: https://www.lakera.ai

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What is Lakera?

Lakera offers a comprehensive security platform designed to protect Generative AI (GenAI) applications. The platform provides real-time visibility into GenAI behavior and threats, allowing organizations to secure their AI future. Lakera's solutions are trusted by industry leaders, from Fortune 500 companies to fast-growing technology startups, and are built upon years of experience in developing AI for high-security environments.

Lakera addresses critical security challenges such as data leakage, inappropriate agent behavior, hijacking, and compliance violations. Its continuously evolving threat intelligence ensures robust protection, while its context-aware approach minimizes risks significantly. The platform is designed to deliver exceptional user experiences with ultra-low latency and offers central policy control, making it adaptable to diverse organizational needs.

Features

  • Real-Time Visibility: Gain immediate insights into GenAI behavior and threats.
  • Guardrails: Provide guardrails for GenAI use cases for compliant and secure deployments.
  • Threat Detection & Response: Mitigate risks by stopping malicious behavior and actors in real-time.
  • Compliance: Implement GRC requirements to put your teams and customers at ease.
  • Continuously-evolving security: Stay protected with dynamic, real-time security that adapts to evolving threats.
  • Industry-leading precision: Reduce risks by 3–4 orders of magnitude with a context-aware approach.
  • Ultra-low latency: Deliver exceptional user experiences with minimal latency.
  • Central policy control: Customize policies to secure applications horizontally without changing code.
  • Multimodal and model agnostic: Secure chatbots and audio bots across any model.
  • Multilanguage: Protect your GenAI across multiple languages.

Use Cases

  • Conversational Agents
  • Document/RAG Agents
  • GenAI Gateway Security
  • Connected Agents
  • Red teaming

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