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
Cloud security teams are grappling with a fundamental paradox. While their environments become more dynamic and complex, the tools they rely on often provide a lagging, incomplete picture of risk. Many third-party security platforms depend on public APIs to gather data, creating an inherent delay and a critical visibility gap. This approach is
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
Your backup system is not just an insurance policy; it is a direct reflection of your company’s operational resilience. Yet, many organizations treat it as a background utility, a check-box exercise in compliance. This is a critical error. According to the IBM Cost of a Data Breach Report , the global average cost of a data breach reached
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,