Mira Security’s main offering, its Encrypted Traffic Orchestration platform, includes support for both physical appliances ...

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 ...

2. Intrusion detection: With the help of machine learning security teams can quickly detect anomalous behavior in network traffic and flag potential security breaches. 3. Fraud detection: Machine ...

Recent analysis of the security landscape of machine learning (ML) frameworks has revealed ML software is subject to more security vulnerabilities than more mature categories like DevOps or Web ...

Our interview focused on how machine learning is helping improve Security Operations Center (SOC) performance and its essential role in their Cortex XSIAM architecture.

Machine learning security is business critical ML security has the same goal as all cybersecurity measures: reducing the risk of sensitive data being exposed. If a bad actor interferes with your ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

The endpoint security market is becoming increasingly diverse as vendors incorporate AI, ML and zero trust.

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

Our contributions include classification and introduction to the relevant fields of machine learning, a comprehensive and critical overview of machine learning usage in hardware security, and an ...