The article’s authors discuss a hypothetical security-log analysis application of machine learning that can “immediately spot an atypical access pattern for a user, even if that specific ...

Machine Learning Can Use Tweets to Spot Critical Security Flaws Researchers built an AI engine that uses tweets to predict the severity of software vulnerabilities with 86 percent accuracy. Alyssa ...

It's really training machine learning," says Marcin Kleczynski, CEO of the cybersecurity defense firm Malwarebytes, which promoted its own machine learning threat detection software at RSA.

This new advanced security integration between Hugging Face and JFrog differs from existing ML model scanners due to JFrog’s malicious code decompilation and deep data flow analysis.

All the threats were found in real-time using native machine learning and behavioral analytics. This type of analytics shows the value of both machine learning and the capturing of log data.