Today, AI relies on data, and many organizations are treating AI systems like traditional applications. From my experience leading large AI and data modernization projects in regu ...

It’s no surprise that with all the data breaches happening far too frequently, new data security tools and privacy regulations have followed closely behind. But how familiar are you with the data ...

The information technology landscape has significantly changed in recent years in terms of corporate value creation (and performance). Wherever data is stored, the digital revolution has created new ...

The surging demand for AI and agentic capabilities that has dominated business discussions all year has had massive implications in the cybersecurity sector. Security vendors of all sizes have moved ...

Even in an area of cybersecurity as essential as data protection, the stakes continue to climb higher in 2025. The pressures have mounted both from the intensification of data theft and extortion ...

While Artificial intelligence tools can be incredibly helpful, it’s important to understand the risks involved when sharing information with them.

As enterprises push to adopt AI at scale, a critical bottleneck emerges – 74% of organizations cite data security as their most significant barrier, yet nearly half of security teams face budget cuts ...

The explosive growth of generative AI has created an unprecedented security challenge for enterprises. New research reveals that enterprise AI usage has surged by a staggering 3,000% in just one year, ...

For years, Data Loss Prevention (DLP) solutions focused on email, endpoints, and network traffic, where security teams could enforce clear policies with predictable outcomes. But work has changed.

The volume of data generated by logs and incident alerts is nothing short of overwhelming. But for security operations teams, sifting through it to identify and mitigate potential threats makes the ...