Machine learning (ML) and artificial intelligence (AI) have become frequent buzzwords in the cyber security space. Security teams have an urgent need for more automated methods for detecting threats ...

Subsequently, machine learning in security is a fast-growing trend. Analysts at ABI Research estimate that machine learning in cyber security will boost spending in big data, artificial ...

Machine learning is disrupting cyber security to a greater extent than almost any other industry. “Many problems in cyber security are well suited to the application of machine learning as they often ...

To stay ahead of this “game” Inside Big Data says cyber defense systems must deploy machine learning algorithms that are at least as powerful and complex as what hackers are using, but ...

This all tends to give machine learning in cybersecurity a bad name.And it poses a real problem, as these are the technologies of today and tomorrow, and they must be at least minimally understood ...

With unsupervised learning, machine learning and AI-based algorithms are constantly working to discover new potential ways that they could possibly be attacked in the future.

By Dr. May Wang, CTO of IoT Security at Palo Alto Networks and the Co-founder, Chief Technology Officer (CTO), and board member of Zingbox - Why has machine learning become so vital in cybersecurity?

One possible path to accurate prediction and real-time prevention is the development of machine learning algorithms. Threats evolve quickly Whoever you go to for malware stats the numbers are ...

A new technical paper titled “A Survey on Machine Learning in Hardware Security” was published by researchers at TU Delft. Abstract “Hardware security is currently a very influential domain, where ...