But machine learning is not a one-size-fits-all approach to log-data analysis. Different machine-learning techniques are suited to different types of log data and to different analytical challenges.

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 ...

Elie Bursztein, who leads the anti-abuse research team at Google, notes that Gmail has used machine learning techniques to filter emails since its launch 18 years ago.

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.

Cloud platforms are enabling AI and machine learning-based endpoint security control applications to be more adaptive to the proliferating types of endpoints and corresponding threats.

Recent progress in survival analysis has been driven by the integration of machine learning techniques with traditional statistical models, such as the Cox proportional hazards model. This ...

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.