Before you can choose the right machine learning algorithms to serve your business' needs, you must understand the type of problem you're trying to solve and the type of training data you'll need.
IT automation is the future of security programs, but it's not simply plug-and-play. SOC leaders must implement this technology thoughtfully to unlock the full range of benefits.
If you've ever gotten a financial fraud alert from your bank, you can thank Daniel Gor for developing the automated processes by which fraud analysts monitor customers' behavioral patterns.
If you're thinking about adopting artificial intelligence as an ally in your security operations center, the following questions and considerations can be helpful to guide your decision-making.
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.