Presented by Anthony Thomas, Sr Solutions Architect • C1
AI does not need to be alive to create real organizational risk. As employees adopt AI and organizations connect it to data and systems, leaders need to understand what they are trusting and where human accountability must remain. This session explores how to enable useful AI adoption while protecting sensitive information, maintaining oversight, and managing risk.
Key topics:
- Shadow AI: Employees using AI tools without organizational review and entering sensitive information.
- Data exposure: Understanding what information AI can access, retain, and share.
- Unreliable outputs: Preventing inaccurate answers from becoming operational decisions.
- Security threats: AI-enabled impersonation, phishing, and attacks that manipulate AI applications.
- Excessive access: Managing the risks when AI assistants can retrieve confidential documents, send messages, or change systems.
- Practical governance: Establishing approved tools, clear ownership, staff training, human review, and incident response procedures.
Interactive scenario: An employee uploads a confidential document into an AI tool to prepare an executive summary. What should have been in place before that happened—and what happens next?