Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...

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 ...

The annual solicitation from the Small Business Innovation Research program seeks proposals for addressing seven different technology issues facing the Department of Homeland Security. Cyber Defense ...

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, ...

The Security Think Tank considers what CISOs and buyers need to know to cut through the noise around AI and figure out which AI cyber use cases are worth a look, and which are just hype.

The cybersecurity industry is in a turbulent period. As artificial intelligence (AI) becomes increasingly powerful, the threat landscape has been entirely transformed, as hackers, bristling with AI ...

Why has machine learning become so vital in cybersecurity? This article answers that and explores several challenges that are inherent when applying machine learning. Machine learning (ML) is a ...

This staggering amount reflects the growing need for cyber security to be treated as a strategic priority on an individual, organizational and governmental level. As in every other field of business ...

Every year I peruse emerging statistics and trends in cybersecurity and provide some perspective and analysis on the potential implications for industry and government from the data. While ...