Unblocking AI Enterprise Knowledge
- Sanitize sensitive fields before indexing so no document gets left out of AI search
- Return plain text, masked, or redacted data based on who's asking, with every access audited
- Keep sensitive data in-region while global teams share one knowledge base
Session Description
One sensitive field shouldn't keep a whole document out of your AI search.
PII might be 1% of your data, but it's enough to get documents flagged and left out of the index, so AI agents end up working with half the context. Glean's permission-aware platform ensures people only see what they're allowed to see, and Glean Protect adds guardrails across indexed content. Skyflow adds a layer underneath. It replaces sensitive data with context-preserving tokens before indexing, so no raw PII enters Glean and every document stays searchable.
Zubin Irani (Glean), Logan McConnell, and Abhishek Chaturvedi (Skyflow) walk through the joint architecture. The session includes a live demo of a Glean agent sanitizing a Google Drive folder and returning masked or plain text data based on role, and covers how Kearney replaced hours of manual sanitization per deliverable with an 8-week rollout.
"We don't want to be in the data sanitization business. Skyflow gave us per-field encryption, runtime policies and customer-specific isolation as a platform - not a project"
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