The Cybersecurity Data You Need To Know In today’s fast-evolving cybersecurity landscape, it’s no secret that safeguarding sensitive data and critical systems has become more urgent than ever. Over the past year, regulatory actions have intensified, driven by landmark developments such as the SEC’s rules on cybersecurity incident disclosure and the EU’s Cyber

AI is starting to increase in popularity with new technologies pushing the boundaries of what’s possible. Machines are now able to mimic human intelligence, to a point, as algorithms are being developed to allow machines to complete tasks that would usually be done by humans. AI’s ability to make complex

Domain name systems (DNS) has been undergirding the internet for more than four decades — and still it’s a daily pathway for cyberattacks. Considering how long security pros have had to create a better way to secure it, DNS security continues to lag, posing a significant security risk today. It

The sophistication and frequency of cyber-attacks have created considerable challenges for organizations worldwide. As traditional cybersecurity measures struggle to keep pace, Breach and Attack Simulation (BAS) technologies have emerged as essential tools in cybersecurity teams’ arsenals. These innovative solutions simulate realistic cyber-attacks on networks, systems, and applications to test the effectiveness of

Cybersecurity cannot be solely about defending against threats; it must also empower organizations with their data. In an era of enormous data volumes and proliferated sources, cybersecurity has become a data management problem. The threat landscape is always evolving, leaving elements of security infrastructure still needing attention. As we prepare