AI security blog

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.

What is a visual prompt injection attack and how to recognize it? Read this short guide and check out our real-life examples of visual prompt injections attacks performed during Lakera's Hackathon.

The topic of bias in ML systems has received significant attention recently. And rightly so. The core input to ML systems is data. And data is biased due to a variety of factors. Building a system free of bias is challenging. And in fact, the ML community has long struggled to define what a bias-free or fair system is.