
Maria, a finance analyst at a multinational corporation, needs quarterly revenue data for her report. She logs into her company’s data portal, runs a query against the company’s data lake, and unexpectedly retrieves highly confidential merger negotiations that should be restricted to the executive team. Meanwhile, across the organization, Anthony, an ML engineer, deploys a recommendation model that accidentally incorporates customer PII data due to misconfigured access controls in Databricks. Both scenarios represent the same fundamental problem: fragmented entitlement management across diverse data platforms.
These aren’t hypothetical situations.