Machine learning can be applied in various ways in security, for instance, in malware analysis, to make predictions, and for clustering security events. It can also be used to detect previously ...

“Machine learning is a critical component to developing Artificial Intelligence for IoT security,” says Uday Veeramachaneni, co-founder and CEO at PatternEx.

As federal agencies step further into a digitally transformed world, artificial intelligence (AI) and machine learning will play an increasingly critical role in how organization leaders put data to ...

Bottom Line: Machine learning is enabling threat analytics to deliver greater precision regarding the risk context of privileged users’ behavior, creating notifications of risky activity in real ...

It’s a different story with machine learning. This all leads us back to the shortage of security professionals. With the right policies and analysis techniques in place, AI will do the job of hundreds ...

Anodot Receives US Patent for Machine Learning-Based Correlation Analysis Engine ASHBURN, Va., July 8, 2021 — Anodot, an autonomous business monitoring company, announced that it had been granted the ...

Attended machine learning. The main argument against security solutions powered by unsupervised machine learning is that they churn out too many false positives and alerts, effectively resulting ...

The patent covers Anodot’s first-of-its-kind machine learning (ML) based correlation analysis that allows enterprises to automatically discover non-obvious cross-siloed anomalies that can impact ...

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. Play ...

Why and how machine learning on code is the next frontier to a whole new series of software building tools. Source code is the new printing press, the new coal, the new oil, the new assembly line ...