Context Governance 301: How do you keep AI agents from acting on stale context?

Context drift is one of the most underestimated risks in agentic AI and one of the hardest to catch. When definitions shift, source data moves or certifications expire, AI agents keep working confidently on information that's no longer correct. This session gets into why that happens, what it actually costs, and what good context governance looks like in practice.

During this webinar you'll learn:

• Why more context can make an AI agent worse and where the tipping point is
• How to detect context drift before an agent acts on stale data
• What signals (freshness, certification, usage) make context trustworthy at scale
• Why "context engineering" is really a data governance problem in disguise

Register now to secure your spot. If you're unable to attend live, register anyway and we'll send you the recording.