Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI is fast like a machine. Curious like a human. Neither identity system was built for it — and that gap creates anonymity that attackers are already exploiting.

Ev Kontsevoy, CEO of Teleport, sits down with Simon Moffatt, Founder and Research Analyst at The Cyber Hut, to discuss the Teleport Agentic Identity Framework — and the identity security gap that AI is making impossible to ignore.

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.

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.

Kubernetes is powerful — but let’s be honest, managing access and identities across users, clusters, kubectl sessions, RBAC rules, CI/CD pipelines, and AI agents can feel like wandering through a corn maze in the dark. Static kubeconfigs, sprawling IAM roles, and long-lived credentials are the cobwebs and skeletons cluttering your path to secure, scalable infrastructure.

In this video, we explore how Teleport Zero Trust Access replaces outdated VPNs and static credentials with a modern, identity-based approach to secure infrastructure access. See how Teleport unifies access across servers, Kubernetes, databases, and cloud environments, all powered by short-lived, certificate-based credentials that eliminate passwords, reduce risk, and streamline engineering workflows.

In this video, we’ll look at how Teleport Machine & Workload Identity secures CI/CD pipelines, microservices, IaC configurations, AI Agents, and more, by treating machines and workloads as first-class identities with short-lived certificates, policy-driven access, and full audit, no static secrets.