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 ...

Surveillance has come a long way from the watchful eyes of security guards to the all-seeing lenses of today's cameras.

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?

[5] Davy Preuveneers and Wouter Joosen, “Sharing Machine Learning Models as Indicators of Compromise for Cyber Threat Intelligence”, 26 February 2021. [6] Rami J. Alzahrani and Ahmed Alzahrani, ...

Interview Kickstart, a leading platform for technical interview preparation, offers an Advanced Machine Learning Course designed to equip professionals with the skills needed to excel in ML roles, ...

Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...

As networks continue to expand, so do opportunities to exploit them, increasing the need for artificial intelligence (AI) and machine learning (ML) tools to bolster security efforts.

Other firms are using machine learning techniques, such as genetic algorithms, to help detect accounts on cloud computing platforms that have too many permissions.