For Emily Heath, vice president and chief information security officer at United, the global airline, one of the key benefits of automation through machine learning is visibility into the network ...

A machine learning engineering graduate program will prepare you for a career path that could include continuing your education in a PhD program or pursuing advanced technical positions or management ...

James Todd, SecOps director at KPMG, describes his role as a merging of SecOps, security architecture, and cloud security. It is a particularly interesting crossing point with regard to automation.

Leveraging Automated Machine Learning Techniques Padamati's prowess in automated machine learning techniques is critical to his advanced vulnerability management framework.

As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting ...

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 ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

Machine learning security is business critical ML security has the same goal as all cybersecurity measures: reducing the risk of sensitive data being exposed.

Microsoft and Mitre Corp. last week outlined their collaborative efforts to shore up the security of machine learning models and artificial intelligence (AI) platforms.

Manual cloud security often leads to a major breach. Helping leadership understand the risks can make the case for funding to do it right.