Editorial
The promise of artificial intelligence rests on an increasingly complex foundation: data. While organizations show great excitement about deploying artificial intelligence for efficiency and insight, many are creating significant business risks by treating data privacy as an afterthought. This isn't a sustainable, future-focused approach. As
The world doesn’t look like it did even as recently as five years ago. Geopolitical tensions, the pandemic, and fast advancements in technology have completely revamped what it means to be a successful business—and what both security and compliance should look like. By now, you know that regulations will only grow in complexity as the public
In every tech company, data flows like the bloodstream, driving day-to-day activities, guiding strategic choices, and energizing innovation. But, as with a circulatory system, not all data is created equal. Some information can be left in the public domain without harm, but other data could take an organization down. This reality makes data
Cybercrime costs are rising fast. Between 2024 and 2029, it’s expected to increase by $6.4 trillion (+69%) and peak at $15.63 trillion. Naturally, investments are also increasing. Security workers will get more investments to keep companies safe. Any professional who protects their company will see bigger budgets. 34% of tech leaders will focus on
Data privacy and protection are among the biggest concerns for internet users. From bank accounts to medical records, online activity requires enormous trust. In 2024 alone, there were several high-profile data breaches in which threat actors gained access to millions of accounts. In January (2024), the CAM4 data breach snagged the top spot as the