AI security blog

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.

In order to enable mission-critical ML applications, we need to create appropriate guidance for data management, both at the formal regulatory level and in our everyday best practices.

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.

Discover how Lakera's security solutions correspond with the OWASP Top 10 to protect Large Language Models, as we detail each vulnerability and Lakera's strategies to combat them.

Developed with MITRE ATLAS in mind, Lakera acts as a robust LLM gateaway, addressing vulnerabilities in data, models, and on the user front, protecting your AI applications against the most prominent LLM threats.

Learn about shadow AI and its profound impact on businesses. Explore the best governance strategies to ensure the use of responsible AI in your organization.