AI security blog

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.

Explore the latest in Generative AI, including groundbreaking advances in image and text creation, neural networks, and the impact of technologies like GANs, LLMs, and more on various industries and future applications.

Enhance the longevity and performance of ML models by exploring key practices in monitoring: from selecting the right metrics to using the latest tools for maintaining model efficacy in real-world applications.

Explore the complex world of Adversarial Machine Learning where AI's potential is matched by the cunning of hackers. Dive into the intricacies of AI systems' security, understand adversarial tactics evolution, and the fine line between technological advancement and vulnerability.

The recent weeks have highlighted the increasing concerns over AI safety and security and showcased a collaborative effort among global entities in the EU, US, and the UK aiming to mitigate these risks. Here's a brief overview of the most recent key regulatory developments and their potential implications for businesses.