In the digital battleground of cybersecurity, the rise of cyber threats has necessitated the adoption of advanced tools and strategies to defend against malicious actors. Thankfully, artificial intelligence (AI) and machine learning (ML) have emerged as formidable allies in this ongoing battle, offering innovative approaches to detect and prevent cyber

“When the cat’s away, the mouse will play,” the old adage goes. Filings to anti-fraud non-profit Cifas would support that claim, as Insider Threat Database (ITD) reports rose by 14% this past year and are largely attributable to hard-to-monitor work-from-home employees mixed with “increasing financial pressures.” The report details further incidents of

As cloud computing has evolved and expanded, the cloud security industry has focused on a series of top issues, each one taking turns at the top of the priority pile. The risks of misconfigurations gave way to identity and access management (IAM) issues, which gave way to securing Kubernetes containers

By harnessing AI capabilities, organisations can enhance their security platforms, detect sophisticated attacks, automate tasks, and respond rapidly to incidents.  However, along with the potential come valid concerns that must be addressed to ensure AI’s reliability and ethical use in defensive cybersecurity. The adoption of AI in security platforms is

A few weeks ago, Best Buy revealed its plans to deploy generative AI to transform its customer service function. It’s betting on the technology to create “new and more convenient ways for customers to get the solutions they need” and to help its customer service reps develop more personalized connections with its