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
Artificial intelligence doesn’t just use data; it produces it. Research shows that every minute, large language models like Dall-E 2 generate 1,389 images, while 7,431 minutes of AI-generated videos are created. But in order to create new information, algorithms routinely infer sensitive information that individuals don’t ever explicitly provide,
Dashboards don’t make decisions – people do. The people defending corporate data today aren’t just fighting a handful of infamous gangs but a swarm of ransomware crews. In the latest GuidePoint Security report, researchers count 77 known active ransomware and extortion groups – up from just 49 a year earlier. On the surface, victim volumes have
Nearly 74% of cyberattacks on colleges and universities are successful in this highly digital environment. Educational institutions are responsible for protecting sensitive student information, from academic records to financial and health information. A single breach, including mishandled devices and improper file disposal, can lead to identity
The pressure to comply with global privacy laws is increasing, with more companies using Software as a Service platforms, and over 70% of providers struggling to navigate these regulations. For professionals in charge of managing client information, it is essential to understand the value of compliant processing and take intentional steps to align