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 ...

Attended machine learning. The main argument against security solutions powered by unsupervised machine learning is that they churn out too many false positives and alerts, effectively resulting ...

I spoke with Red Canary CEO Brian Beyer about the vision behind his company, the future of cyber security and how top tech trends are impacting the industry in 2018.

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 ...

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?

Only machine learning can address the increasing number of challenges in cybersecurity: scaling up security solutions, detecting unknown attacks and detecting advanced attacks, including ...

The pace of digital innovation is rapidly increasing, and emerging technologies powered by artificial intelligence and machine learning are changing the digital landscape. Alongside advancements ...

As machine learning in cybersecurity continues to grow, we expect to see more effective and sophisticated defenses against the ever-evolving cyber threat landscape. Current and future cybersecurity ...

The use of artificial intelligence (AI) and machine learning (ML) is infiltrating many aspects of our lives. While much of this will be with the best of intentions, AI is raising concerns about ...

A hacker has tricked some users of the PyTorch machine learning framework into downloading malware, BleepingComputer reported on Sunday.PyTorch is a popular open-source tool for developing artific ...