Case Study: The Reality of AI Adoption – A Security-First Approach

• Building a Secure Foundation: Key steps and considerations for establishing data governance and security policies before premature AI rollout
• The rationale and process behind halting an enterprise-wide AI initiative to address security vulnerabilities
• The Road Ahead: Insights into the planned, security compliant, and phased approach to AI deployment and the expected progress in the coming months

Practical Takeaway: Leave with a clearer framework for evaluating where AI creates measurable operational value, where it introduces new cyber risk, and how to balance adoption with control across live projects

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