Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Agent Security: Detecting Risky Behavior (Live Demo)

Watch five AI agents tackle a CTF and start coordinating with one another. Learn how to detect risky agent behavior using @goteleport graphs, risk scoring, and custom classifiers. Ben Arent explores lessons from the Hugging Face incident, then demonstrates how agent identity, scoped access, and activity monitoring help secure AI agents running against infrastructure.

Does an agent have more access than you do?

70% of organizations give AI more access than a human in the same role would get. Not surprising when it is common for a team to click “always” when an agent asks to be allowed once or always allowed. That means the agent holds that access in perpetuity and turns into agent over-provisioning. Makes you wonder: Does an agent have more access to your organization's stack than it should and more access than the people who deploy them?

An agent breaks in production. Who's accountable?

We asked eight security and product leaders who's accountable when an agent ships to production and breaks something. Nobody said the model. Harish Gaggar named the reason. An agent runs on permissions someone approved and configuration someone set. Ron Reiter drew the line in the same place, accountability sits with whoever decided what the agent could actually do. As agents act across more systems, the accountability trail gets harder to follow. Most teams cannot determine which human granted an agent access.

What tasks should AI take over?

What part of your profession do you hope AI takes over? What should it never touch? Security practitioners and technology leaders landed in the same place: hand off the tedious work, and keep human judgment on anything that affects blast radius. That's the skills reckoning. As AI absorbs the repetitive work, the expertise that decides what an agent is allowed to reach becomes more valuable.

Hot Take: Over-permissioned agents will be the next big breach.

The next big breach won't be a hacker. It'll be an over-permissioned agent. Someone approved an agent action at some point, for a reason that made sense at the time. But access persisted long after a task was performed. Stale permissions without human intervention could turn into exposure. Listen to perspectives from people who see this problem from different roles.

Pi Coding Agent: The Claude Code Alternative That Builds Itself

Pi is a minimal coding agent that lets you choose the features Claude Code and Codex bake in for you. Nothing is forced, nothing is hidden, and you decide what your harness does. However, Pi runs with no safety rails by design, so the environment has to be the boundary. In this video, we'll take a look at Pi, what it is, its features, how to get your own customized setup running, and why it works so well with isolated agentic environments like Beams.

The Teleport Agentic Identity Framework in 3 minutes

AI agents are rapidly moving into production, but most organizations are still deploying them on top of legacy identity systems built around passwords, secrets, and fragmented access models. In this video, we introduce the Teleport Agentic Identity Framework, a standards-driven approach for deploying AI agents securely across infrastructure using cryptographic identity, governed access, and continuous visibility.