Large language models are powerful content generators, but they lack awareness of your brand, policies, and legal obligations. This flood of unmonitored content introduces serious vulnerabilities, from brand-damaging inconsistencies and off-message communications to costly regulatory violations. Manual content review cannot keep up, and building in-house oversight is complex and costly. To confidently operationalize AI into action across functions like marketing, support, and documentation, companies need a new layer of defense: Independent AI guardian agents.

This session will explore how guardian agents — defined by Gartner as AI technologies that oversee, enforce, and correct AI behaviors — unlock safe, scalable use of generative content across the enterprise. Think of them as a strategic control layer that operates between your LLMs and your audience, ensuring every piece of content is aligned with your precise standards. Drawing from our pioneering work with leading AI innovators like Microsoft, Meta, and Adobe, and insights gathered from over 100 enterprise content leaders, we’ll demonstrate how these systems complement rather than replace LLMs. The result? Output that ensures AI isn’t just fast and fluent, but trustworthy.  Attendees will walk away with a strategic blueprint for deploying content guardian agents across their organizations. We’ll share lessons from early adopters and outline the key technical and organizational considerations for moving from pilot to scale to give you confidence to lead your organization into the next phase of enterprise AI.