Home » Topics » AI & Machine Learning » Machine learning: Disrupting the cyber security industry by Nick Ismail 11 October 2018 Despite the emergence of apps like Slack and Yammer for internal ...

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.

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 ...

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 ...

Machine learning (ML) and artificial intelligence (AI) have become frequent buzzwords in the cyber security space. Security teams have an urgent need for more automated methods for detecting threats ...

With the right tools in place, security will require far fewer people to be effective. In the end, automation and machine learning are our only hope to keep the looming 2019 IT job shortfall from ...

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 ...

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 ...

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 ...