Don’t Feed AI Raw Data: Building AI Without Compromising Privacy
0:00:00
Key takeaways
- How to keep AI accurate and useful while PII never leaves your data layer
- Why agentic AI breaks the controls built for deterministic systems, and what a runtime data control layer fixes
- How detection, protection, and governance at runtime keep you aligned with GDPR and the EU AI Act
Session Description
Organisations are racing to deploy AI, but perimeter, cloud, and vault-based controls were built for a world where a human accessed data through an application. Agentic AI breaks that: the user no longer talks to data directly, agents do, at machine speed and across prompts, models, MCP servers, logs, and downstream systems. That is where PII leaks.
Amruta Moktali and Shadi Moudallal show how a runtime data control layer keeps sensitive data out of AI systems through detection, protection, and governance, with live demos across prompts, unstructured documents, and enterprise search. You'll see how enterprises keep AI usable while staying compliant by design.
Speakers
Amruta Moktali
Shadi Moudallal
"We were running on Skyflow in just hours, rather than the months it would take to build and implement even a fraction of this data privacy rigor"
Boe Hartman
CTO, NomiHealth
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