Lakera is an AI security company that specializes in protecting large language model applications from prompt injection attacks, jailbreaking attempts, data leakage, and other LLM-specific security threats. Founded in 2021 by David Haber, Matthias Kraft, and Severin Elvatun, and headquartered in Zurich, Switzerland, Lakera focuses specifically on the security challenges unique to generative AI applications. The company's flagship product, Lakera Guard, provides a real-time API that sits between user inputs and LLM applications to detect and block malicious prompts before they reach the model. Lakera Guard analyzes incoming prompts for various attack patterns including direct and indirect prompt injection, jailbreak attempts, harmful content requests, and attempts to extract sensitive information or system prompts from the model. The system uses proprietary machine learning models trained on a continuously updated dataset of attack techniques, including data from Gandalf, Lakera's public prompt injection game that has collected millions of adversarial prompt examples from users worldwide. Lakera Guard also monitors LLM outputs for sensitive data leakage, toxic content, and off-topic responses, providing a comprehensive input-output security layer. The API is designed for low-latency integration, adding minimal overhead to LLM application response times. Lakera provides integrations with major LLM providers and frameworks, and can be deployed as a cloud API or on-premises for organizations with strict data residency requirements. The platform includes a dashboard for monitoring security events, analyzing attack patterns, and configuring detection policies. Lakera offers a free tier for developers with limited API calls, a paid tier for production applications, and custom enterprise pricing for organizations requiring higher volumes, dedicated support, and on-premises deployment.

AI内容审核

Lakera Guard 监控大语言模型应用的输入和输出，检测和过滤有毒内容、有害请求和违反政策的响应。这个输入-输出审核层帮助组织在 AI 应用中维持内容安全标准，防止故意滥用和无意的有害输出。

AI网络安全

Lakera 通过 Lakera Guard 提供 AI 特定的网络安全，保护大语言模型应用免受提示词注入攻击、越狱和数据提取尝试。其实时 API 在提示词到达模型之前对其进行检查，并监控输出中的敏感数据泄露，为生成式 AI 应用独特的威胁格局提供专门构建的安全层。

AI安全工具

Lakera 通过实时检测有害提示词、越狱尝试和违反政策的输入来防止大语言模型应用的滥用，从而为 AI 安全做出贡献。其专有模型经过数百万个对抗示例的训练，这些示例来自其 Gandalf 提示词注入游戏，帮助组织确保其 AI 应用不会被操纵生成有害输出。

AI 测试工具

Lakera 帮助组织通过基于数百万个真实攻击示例的对抗测试方法论来测试其大语言模型应用的安全漏洞。其平台使安全团队能够在部署前评估他们的 AI 应用如何应对提示词注入、越狱和其他攻击向量。