Vijay Sagar of Securiti outlines how privacy by design can be operationalized through automation and governance, helping organizations manage data risk, meet regulatory demands and scale responsibly.
Rapid expansion of data across cloud platforms, software-as-a-service applications and artificial intelligence pipelines is increasing privacy risk through sheer complexity. Organizations struggle to maintain visibility, enforce controls and meet regulatory obligations when data flows span jurisdictions, vendors and evolving use cases. Privacy programs built on manual processes or static policies no longer hold at enterprise scale.
Vijay Sagar, vice president of customer success at Securiti, addresses how privacy by design must translate into operational governance across the data life cycle. The discussion centers on building automated, policy-driven frameworks that map data, apply controls and support compliance without slowing innovation.
In this session, Sagar will also discuss:
- Why privacy risk increases as data ecosystems become more distributed and automated;
- How privacy by design can be operationalized through continuous data intelligence and governance;
- Practical steps organizations can take to align compliance, security and business agility.
Here is the course outline:
The AI Promised Land: How Security Leaders Can Accelerate AI Without Losing Control |
Completion
The following certificates are awarded when the course is completed:
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CPE Credit Certificate |
