{"id":2160,"date":"2026-10-01T22:24:57","date_gmt":"2026-10-01T22:24:57","guid":{"rendered":"https:\/\/datadecoded.com\/mcr\/?post_type=seminar&p=2160"},"modified":"2026-10-01T22:24:57","modified_gmt":"2026-10-01T22:24:57","slug":"from-ai-adoption-to-agent-sprawl-governing-the-enterprise-agent-estate","status":"publish","type":"seminar","link":"https:\/\/datadecoded.com\/mcr\/seminars\/from-ai-adoption-to-agent-sprawl-governing-the-enterprise-agent-estate\/","title":{"rendered":"From AI Adoption to Agent Sprawl: Governing the Enterprise Agent Estate"},"content":{"rendered":"

Enterprise AI is moving beyond individual copilots and chat interfaces. Organisations are increasingly introducing AI agents that can access data, connect to tools and take actions across business systems.<\/p>\n

As adoption grows, so does the governance challenge. Organisations need visibility into which agents exist, who owns them, what identities and permissions they use, what data and systems they can access, and how their actions are monitored and controlled.<\/p>\n

This session looks at the practical security and governance questions that emerge as AI adoption becomes agent adoption, from discovery and ownership through identity, access, lifecycle, oversight and accountability.<\/p>\n

Using practical enterprise examples, it will show how organisations can move from fragmented AI experimentation towards a governed and secure enterprise agent estate, while still enabling AI adoption to scale.<\/p>\n

Takeaways:<\/strong><\/p>\n