We've released the first version of a new Prompt Injection Test (PINT) Benchmark that can be used to evaluate any prompt injection detection system with a comprehensive dataset that no model, including ours, is directly trained on.

Learn the essential AI risk management frameworks for responsible AI development. Understand regulations, mitigate risks, and build trustworthy AI systems.

The European Union is making a significant move with its planned AI Act, targeting the regulation of the fast-expanding artificial intelligence sector. This emerging legislation is a reaction to the rise of advanced technologies such as ChatGPT and aims to limit the risks of AI while harnessing its possibilities.

Discover strategies for AI security and learn how to establish a robust AI security framework. In this guide, we discuss various risks, and propose a number of best practices to bolster the resilience of your AI systems.

Discover Canica, Lakera's interactive text dataset viewer that elevates data analysis with visual exploration tools like t-SNE and UMAP. Now available for the machine learning community under the MIT license.

In this practical guide, we’ll give you an overview of OWASP Top10 for LLMs, share examples, strategies, tools, and expert insights on how to address risks outlined by OWASP. You’ll learn how to securely integrate LLMs into your applications and systems while also educating your team.