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
For years, achieving General Data Protection Regulation (GDPR) compliance was the gold standard for data protection. Today, it is merely the starting point. With over 130 countries now enforcing their own data privacy laws, organizations operating on a global scale face a fractured and increasingly complex regulatory landscape. Relying solely on
In today’s cloud-first, AI-driven world, legacy security doesn’t cut it. According to IBM’s 2024 Cost of a Data Breach Report, the average global breach now costs over $4.88 million, representing roughly a 10% increase over the past three years . As 2026 approaches, forward-thinking businesses must adopt next-generation data security technologies
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,
Many organizations believe that providing cybersecurity awareness training to employees is sufficient to establish a strong culture of awareness. However, the most security-focused companies pay attention to how they deliver training and what topics they cover. Cyber threats evolve rapidly, so training programs that fail to keep pace become