Lakera

Lakera is a comprehensive platform designed to enhance the security and usability of large language models (LLMs). It offers a range of tools and resources to help professionals and security enthusiasts understand and mitigate the risks associated with AI technologies. Key features include a detailed analysis of LLM vulnerabilities, an expansive attack database, and practical security advice on data sanitization and PII detection.

One of Lakera's notable tools is Gandalf, a gamified red-teaming platform that helps identify vulnerabilities in LLMs through adaptive defense strategies. This platform allows developers to balance security with usability, ensuring that defenses do not overly restrict legitimate user interactions. Lakera also provides insights into language-specific vulnerabilities and guardrail implementations, offering actionable guidelines for assessing and mitigating risks in generative AI applications.

The platform's focus on dynamic security and usability is highlighted through its Dynamic Security Utility Threat Model (D-SEC), which models multi-step interactions between attackers and legitimate users. This approach helps practitioners evaluate defenses effectively and optimize the security-utility trade-off in LLM applications. Overall, Lakera equips users with the knowledge and tools needed to secure their AI systems effectively while maintaining usability.