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 ...

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 ...

Another important factor in machine learning security is model visibility. When you use a machine learning model that is published online, say on GitHub, you’re using a “white box” model.

Studying the security of machine learning systems may not be trendy but it is just as important as realizing their promise. There is a vulnerability at the core of machine learning — operators might ...

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 ...

Machine learning refers to the evolving ability of computer systems to learn and adapt without following explicit instructions. It essentially involves the use of algorithms and statistical models to ...

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 ...