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Agentic Runtime Security Explained: Why Your AI Agents Need Zero Trust | Treecapital AI

Agentic AI is the most white-hot topic in IT today. But as we move from chatbots to autonomous agents that can plan, execute, and access data, we are opening a massive new attack surface: Non-Human Identities (NHIs).

In this video, we dive deep into Agentic Runtime Security and how the Treecapital Anven framework is bridging the gap between high-speed AI autonomy and enterprise-grade security.

What You’ll Learn:
The NHI Crisis: Why non-human identities now outnumber humans 50:1 and why traditional IAM is failing.

IAM Gaps & The "Confused Deputy": How agents with excessive privileges become silent pathways for exploitation.

Treecapital Anven Explained: How our agentic AI model implements Accountability and Least Privilege at the runtime level.

Zero Trust for Agents: Why "Never Trust, Always Verify" must apply to every tool call, API request, and decision an agent makes.

Real-World Deployments: How to secure the "Action Layer" to prevent prompt injection and unauthorized data exfiltration.

Don't let your AI agents go rogue. Learn how to build a secure, agentic future with Treecapital AI.