Healthcare breaches don’t just steal data; they erode trust, disrupt care, and cost millions. The 2015 Anthem data breach compromised 78.8 million records. Since then, attacks have only grown in frequency and sophistication, pushing the average healthcare breach cost to.1 million in 2022 (IBM’s Cost of a Data Breach). For years, healthcare security has focused on perimeter defenses, yet breaches keep escalating.

Building secure applications is about more than just adding security features at the end of the development process. It’s about addressing vulnerabilities and threats as they arise and improving security continuously—right from the start. That’s the power of DevSecOps.

Innovation, specifically the evolution of technology, has always been about expanding what’s possible or simplifying today’s complexity – sometimes both. We saw this with the internet revolution, adoption of cloud computing, remote working, low-code/no-code, and now AI is fundamentally reshaping how teams operate. While these advancements bring opportunities for organizations and push people’s creativity to new limits, they also introduce new risks.

Confidently scale AI initiatives with irrefutable proof of ethical data practices and compliant AI operations. In today’s rapidly evolving digital landscape, the intersection of data provenance and AI governance has become mission-critical for businesses. As AI continues to shape industries – from healthcare and finance to media and technology – the need for verifiable data integrity and responsible AI oversight has never been more urgent.

Lately, it seems like the only thing anyone is talking about in the technology sector is Artificial Intelligence. With good reason! AI is an incredibly powerful tool that is only going to grow in usage and scope. However, there seems to be a lot of confusion around various terms involving AI and security. The focus of this blog will be breaking down the differences between securing AI, secure AI use, AI for security, and AI safety.

This article explores why AI is complicating compliance and the critical steps enterprises must take to avoid regulatory pitfalls.

If you’re considering a private storage solution for your files online, you may have heard the term zero-knowledge encryption (ZKE). ZKE stands out from other cloud providers because it emphasizes privacy. By choosing cloud storage with zero-knowledge encryption, you are given full control over the security and privacy of your files, and you will protect them from companies like Google, who use your data for profit or to train their AI models.

Companies are rapidly moving to hybrid cloud environments, with most of them already making this transition. This fundamental change affects how organizations handle their infrastructure.