We made our WAF Machine Learning models 5.5x faster, reducing execution time by approximately 82%, from 1519 to 275 microseconds! Read on to find out how we achieved this remarkable improvement. WAF Attack Score is Cloudflare's machine learning (ML)-powered layer built on top of our Web Application Firewall (WAF). Its goal is to complement the WAF and detect attack bypasses that we haven't encountered before.

By 2026, more than 80% of enterprises will have used generative artificial intelligence (“GenAI”) APIs, models and/or deployed GenAI-enabled application in production environments. With this fast pace of adoption, it is no wonder that artificial intelligence (AI) application security tools are already in use by 34% of organizations, a number that will no doubt increase.

GitGuardian's Confidence Scorer, a machine-learning model, is being rolled out. Learn how it advances secret detection on GitHub and drives impactful developer alerts.

Time is of the essence when it comes to protecting your data, and often, teams are sifting through hundreds or thousands of alerts to try to pinpoint truly malicious user behavior. Manual triage and response takes up valuable resources, so machine learning can help busy teams prioritize what to tackle first and determine what warrants further investigation.

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re looking at four machine learning-related risks to watch out for. Machine learning (ML) is truly mind-blowing tech. The very fact that we’ve been able to develop AI models that are capable of learning and improving over time is remarkable.

The risk both to and from AI models is a topic so hot it’s left the confines of security conferences and now dominates the headlines of major news sites. Indeed, the deluge of frightening hypotheticals can make AI feel like we are navigating an entirely new frontier with no compass. And to be sure, AI poses a lot of unique challenges to security, but remember: Both the media and AI companies have a vested interest in upping the fright hype to keep people talking.