Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As an Acronis user, you understand the importance of safeguarding your digital life. Whether you're a photographer with an ever-growing library of high-resolution images, a videographer churning out terabytes of footage, a content creator managing countless projects or a power user with multiple virtual machines and a home lab, the need for ample, secure cloud storage is constant. You want one reliable place for all your data, without the hassle of juggling multiple tools and accounts.

For years, AI and machine learning workloads lived in the lab. They ran as internal experiments, batch jobs in isolated clusters, or offline data pipelines. Security focused on internal access controls and protecting the data perimeter. That model no longer holds. Today, AI models are increasingly part of production traffic, which is driving new challenges around securing AI workloads in Kubernetes.

If you look at an enterprise architecture diagram from five years ago, it looks relatively tidy. You had a data center, maybe a cloud provider, and a few gateways. Today, that diagram looks like a constellation. Data is living in AI platforms like Databricks. Frontend applications are pushed to the edge on Netlify. Logic is scattered across microservices, serverless functions, and legacy IIS servers. For security teams, this fragmentation creates a massive headache: Blind Spots.

Cybersecurity teams are no longer circling an AI bubble. Rather, they are staffing inside it, buying within it, and getting measured by it. This matters because bubbles create a predictable trap: expectations are set higher than teams truly can deliver. Cato Networks CEO Shlomo Kramer recently told Business Insider the market is experiencing an AI bubble driven by heavy investment and AI-driven profit improvements, which he expects to unwind. A correction will not pause attacker activity.

For those of you who are like me, when I first heard about the new EU AI Act, I had flashbacks to the implementation of the General Data Protection Act (GDPR) back in 2018. There are certainly a lot of similarities with the EU leading the way in consumer protections that will likely lead to more, similar legislation across the globe. I’m also reminded of the iPhone when it was introduced in the consumer market and bled into the workplace (I for one held onto my Blackberry for as long as I could).

Nobody breaks into AWS by logging in as root and announcing themselves. They start with something small, such as a leaked key. IAM:PassRole is the kind of permission that creates a clean privilege-escalation path if you’re not watching it closely.