Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

In his first prediction for 2026, Ev explains why that strategy is about to fail. We used to let microservices run anonymously because we had bigger fires to fight. But when all software becomes autonomous AI, anonymity is a risk you can't afford. If your software behaves like a human, why separate it from your human identity strategy? The future isn't "NHI." It's a Unified Identity Layer where humans and non-humans are managed as equals.

According to our CEO @Ev Kontsevoy, this isn't a "nice to have" anymore."It will be required if you don't want to fail." For the last two years, most companies have treated AI as an experiment. But as Ev explains in this clip, 2026 is the year AI graduates from the labs and enters production. This shift changes the requirements for everything – from how we secure identity, to who we hire. To help you navigate this transition, we’re breaking down Ev’s 2026 Cybersecurity Predictions.