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 ...

When it comes to cybersecurity, organizations are constantly looking for new ways to improve their defenses. A promising area of research is combining cybersecurity with machine learning (ML). This ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The role of cybersecurity cannot be underestimated. The increasing adaption of technology ...

As the volume of cyberattacks grows, security analysts have become overwhelmed. To address this issue, developers are showing more interest in using Machine Learning (ML) to automate threat-hunting.

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, ...

Imagine the following scenarios: An explosive device, an enemy fighter jet and a group of rebels are misidentified as a cardboard box, an eagle or a sheep herd. A lethal autonomous weapons system ...

On May 12, the largest ransomware outbreak in history took place, targeting 300,000 machines in 150 countries, with the U.K.’s National Health Service (NHS) taking the brunt of the attack. In fact, 48 ...

In today’s digital age, the importance of Cyber Security has skyrocketed, creating an unprecedented demand for skilled professionals in the field. As cyber threats become more sophisticated, ...

Deep Instinct applies deep learning to cybersecurity—going beyond what machine learning can accomplish with a neural network designed to emulate the human brain and learn as it goes. Cyber attacks are ...

There was a time when security analysts trawled through packet capture and log files trying to identify and diagnose potential intrusions. Looking for a cyber attack within these log files was often ...