Ungoverned AI Agents Need Managers Too

Why Runtime Supervision Is Essential for Secure, Scalable, and Cost-Controlled Enterprise Agentic AI

Enterprise AI agents don't just answer questions—they plan, decide, and act. That autonomy introduces a new class of security, operational, and economic risk that traditional controls were never designed to catch. Learn why runtime supervision is becoming the foundational layer for safely scaling agentic AI in production.

In this paper, we will discuss:

• Why agentic Al requires a new control architecture: Autonomous agents that plan, decide, and act will create security, operational, and cost risks that traditional controls aren't built to manage.
• How runtime supervision enforces provable control:  New capabilities are needed to mediate access to tools and data, limit agency to approved boundaries, and contain cost as agents operate in production.
• How to move from experimentation to trusted execution: The trusted framework for reducing attack surface, proving accountability to security and compliance teams, and scaling agentic Al with confidence.