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In this session of the Master Series, we explored the unique governance challenges that come with adopting AI agents—especially as organizations begin to rely on them for increasingly complex and autonomous tasks. Many teams struggle with visibility into what agents can access, how they behave, and where unexpected risks can emerge. Without clear oversight, misconfigurations, data exposure, and unpredictable agent actions can quickly become real organizational concerns. This session walked through how a strong governance approach brings order, safety, and clarity to agent adoption. We covered how defining policies, implementing guardrails, and establishing a solid environment strategy helps ensure agents operate within controlled boundaries. Topics included environment segmentation, enforcing appropriate data access, and creating consistent lifecycle and sharing practices. Led by Jeff Bennett, this high‑energy, practical walkthrough shared real examples and key considerations every organization should address before embracing enterprise agents. Viewers will come away with a clearer understanding of how to “get governance right” and confidently lay the foundation for responsible, scalable agent adoption.