A corporation’s worst nightmare is an advanced persistent threat in which criminals gather data over months, slowly penetrating deeper into the network. Machine learning offers real security ...

Machine learning isn't a silver bullet for network security. I know, right now you’re saying “But wait Matt, All I hear is that every hot new company in ...

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

Network behavior analytics (i.e. Darktrace, Palo Alto Network’s Magnifier, Vectra Networks, etc.) all greatly leverage machine learning algorithms to spot and analyze anomalous network connections.

Tell me if you’ve heard this: there is a new, advanced network intrusion device that uses modern super-smart Machine Learning (ML) to root out known and unknown intrusions.

“Machine learning is a critical component to developing Artificial Intelligence for IoT security,” says Uday Veeramachaneni, co-founder and CEO at PatternEx.

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?

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 ...

Security, however, is not all doom and gloom. Innovation is the key to truly connected security. Machine learning can augment our firewalls and include behavior intrusion detection and prevention with ...

Machine learning analytics could be toughest security on the block - SiliconANGLE ...

Machine learning has delivered amazing results, ... "It means malicious actors could fool systems that rely on an otherwise reliable network," Buckner said. "That has security applications." ...