Why Agentic AI Breaks Legacy Identity — and What Infrastructure Leaders Must Do Next

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.

As organizations rush to deploy agents, copilots, and MCP-based workflows, they are unintentionally introducing new classes of systemic risk: anonymous execution, credential sprawl, uncontrolled privilege, poor auditability, and fragile operational guardrails.

In this thought leadership webinar, Craig Matsumoto (Futuriōm) joins Teleport CEO Ev Kontsevoy to examine why agentic AI is not an LLM problem — but an infrastructure identity problem. Together, they will unpack how AI-driven autonomy changes threat models, why existing IAM, PAM, and network-based controls fail against non-deterministic behavior, and what “AI-ready infrastructure” actually requires.

Attendees will learn:

• Why agentic AI fundamentally breaks legacy identity and access control models
• How non-deterministic actors amplify blast radius, compliance risk, and operational fragility
• How leading organizations are reframing AI adoption around identity, control, and governance, not tools
• What an opinionated, production-ready identity framework for autonomous systems looks like in practice

This session is designed for engineering, infrastructure, security, and IT leaders who are responsible for production systems and are being asked to “move faster with AI” — without compromising reliability, security, or control.

AI adoption is accelerating. The identity foundation beneath it is not. This webinar explains why that gap matters — and how to close it.