Tag: Artificial Intelligence (AI)

Mobile threats are growing both in number and severity. To protect crucial data, organizations need mobile threat defense solutions that can replicate the accuracy of manual analysis on a large scale.

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.

Collaborative industry partnerships, a hardened attack surface and a well-practiced incident response plan are all critical in the fight against emerging cybersecurity threats.

Hot topics of conversation around European Cyber Security Month (ECSM) included the challenges and opportunities of cybersecurity, the blurred line between the good guys and bad actors, and more.

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.

By adopting artificial intelligence solutions to help execute the MITRE ATT&CK framework, security teams can reduce dwell times, guide threat hunting endeavors and lighten the load of SOC analysts.

Retail cybersecurity requires a large-scale transition to cope with new threat vectors, close significant infrastructure gaps, and extend security protocols across new cloud and SaaS platforms.

It's time to prioritize soft skills, re-evaluate recruitment practices and prepare for a future where the hard skills of AI-enhanced tools require a soft-side balance to drive cybersecurity success.

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.