Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

The Digital Operational Resilience Act (DORA) is one of the most significant cybersecurity regulations for financial institutions in the European Union (EU). Failure to comply can have massive consequences, including financial penalties and forced operational downtime, meaning achieving DORA compliance should be a priority for all EU financial institutions. Implementing a comprehensive API security strategy goes a long way toward ensuring compliance with DORA requirements.

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.

Like me, I’m sure you’re keeping an open mind about how Generative AI (GenAI) is transforming companies. It’s not only revolutionizing the way industries operate, GenAI is also training on every byte and bit of information available to build itself into the critical components of business operations. However, this change comes with an often-overlooked risk: the quiet leak of organizational data into AI models.