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
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
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
The need to strengthen data protection overwhelms business leaders across sectors. Today, controlling and reducing data collection is crucial to preserving company security. Setting data privacy as a top priority lowers the risk of data breaches and misuse. It helps organizations make sure they only collect the information they need. “It’s not
Even for experienced professionals, cybersecurity terminology often overlaps in ways that create confusion. And among the most frequently mixed-up concepts are attack surface and threat surface. For data protection officers (DPOs), distinguishing between these terms is not just about word choice but a critical step in building effective security