This white paper details how organizations leveraging AI and Salesforce must strengthen data-protection practices to prevent corruption, loss, and model degradation. It outlines risks from integrations, sync issues, human errors, metadata changes, and cyberattacks. The paper shows how clean, recoverable data ensures accurate AI outputs and sustainable operations. It promotes automated backups, sandbox seeding, metadata recovery, compliance-ready retention, and granular restores. Reliable Salesforce backups are positioned as foundational for trustworthy AI and business continuity.

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