Shadow AI: The unauthorized AI problem every enterprise faces

Your organization has more AI agents running than you can see, and teams are building workflows, connecting tools, and accessing data without going through your approval processes. When data teams lose visibility and security risks multiply, both sides feel stuck.

Approval bottlenecks are slowing data teams down, which is why teams go rogue and work around the system to move faster. The cost is apparent with lost visibility, security gaps, and compliance exposure. While data and IT teams don't know which MCPs or tools are accessing enterprise data and can't verify safe usage, product teams, engineers, and analysts need autonomy to solve problems fast. The solution is looking to optimize governance that enables instead of blocks.

What you'll walk away knowing:

• Why most organizations can't see their own AI infrastructure and likely have more undocumented agents in production than they realize, creating governance, security, and compliance gaps

• How unknown tool usage creates blind spots when data teams don't know which connectors are accessing your data and can't verify safe usage or establish control

• Why bottlenecked approval processes drive teams to work around governance and how the real fix isn't restriction but building faster, safer approval pathways that make "doing it the approved way" the easy way

• How Simba intelligence provides a fast pathway to governed access which quickly and safely enables control and trust.

Who should attend:

This session is designed for data leaders, IT and data governance teams, and anyone managing data access policy at organizations rapidly deploying AI agents and copilots.