Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Agentic AI is fundamentally changing how software operates, and in doing so, it breaks the identity and access models that many organizations still rely on. Unlike traditional applications, agentic systems are non-deterministic, long-running, and capable of autonomous decision-making across infrastructure, data, and production services. These systems do not fit within legacy identity assumptions built for humans, static workloads, perimeter controls, or long-lived credentials.

The term "AI Agent" is failing us. In Prediction, Ev warns that our vocabulary is lagging behind the technology. Calling everything an "AI Agent" is like calling everything "software." It’s too broad to be useful. A browser plugin has a completely different architecture than a microservice or a factory robot. They have different identities, different risks, and different security needs. You can't secure what you can't specifically identify.

Cybersecurity is no longer just an IT problem. It’s an Engineering problem. In his second prediction for the year, Ev argues that the traditional IT model is shifting, and the role of engineers is expanding. Traditionally, securing infrastructure belonged to the IT department. The rise of AI identities adds a layer of complexity that traditional IT tools just weren't built for. As Ev explains in this clip, if you want to protect your system from misbehaving AI, you need the people who built the system in the first place.