backup validation

Explores how AI automates backup validation by detecting anomalies, verifying integrity, and continuously testing recoverability. Covers techniques like ML-driven corruption detection, synthetic restore drills, and predictive alerts to meet RPO/RTO. Weighs benefits - faster audits, reduced risk, lower cost - against challenges such as false positives, data privacy, and integrating with legacy systems, offering best practices and metrics.