Dimitry Snezhkov didn't touch a computer until he was 18. Now he spends his days penetration testing to uncover security gaps and his nights meditating on the balance of life.
With a corporate culture that supports transparency and human agency, it's possible to maximize the existing benefits of artificial intelligence (AI) while laying the groundwork for the future of AI.
User behavior analytics (UBA) can help security teams uncover ignorant, negligent and malicious activity with advanced machine learning algorithms — but Rome wasn't built in a day.
Researchers from FortiGuard Labs discovered a malware sample called iTranslator that installs two drivers onto infected machines to perform man-in-the-middle (MitM) attacks.
Although AI is poised to take a much larger role in cybersecurity future trends, this doesn't necessarily mean fewer opportunities for human analysts. In fact, it could mean quite the opposite.
To move toward deep, advanced security analytics, CISOs should replace their fragmented tools with a platform-based approach that can leverage a broad set of data.
Machine learning can strengthen your security posture, but it's not without its blind spots. What do adversarial machine learning attacks look like, and how can companies stop them?
Law firms tasked with analyzing mounds of data can vastly improve their efficiency by using legal AI tools.
As a young girl in Romania, Irina Nicolae was fascinated with machinery and how different parts fit together. Today, she conducts AI research to develop ways to protect this technology from threats.
Topics of discussion at this year's Black Hat conference included the Internet of Things (IoT) in smart cities, the latest advancements in vulnerability management and more.