A challenge in effective machine learning cyber security surrounds building scalable systems to handle very large datasets — the ability to gather live data to ensure systems are adapting to human ...

Machine learning is our best hope for securing the exponential growth of technology. Imagine systems designed to learn the behavior of its users.

Answer by Kris Lahiri, Co-founder, Chief Security Officer, Egnyte, on Quora: Machine learning is a branch of artificial intelligence (AI) that refers to technologies that enable computers to learn ...

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.

Subsequently, machine learning in security is a fast-growing trend. Analysts at ABI Research estimate that machine learning in cyber security will boost spending in big data, artificial ...

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 ...

Why has machine learning become so vital in cybersecurity? This article answers that and explores several challenges that are inherent when applying machine learning.

Smart cyber adversaries are starting to turn machine learning algorithms against the defence. But adversaries could be frustrated by deliberate cyber deception.

Skills to apply machine learning and data analytical knowledge to solving practical real-world cyber security problems. This certificate serves as a badge testifying that students have mastered ...

Machine learning has revolutionized the field of cybersecurity by enabling a new generation of automated tools and techniques that can help detect and prevent cyber threats.