Defend your data at scale: 3 steps to increase cyber security
summary
Three concrete steps: automate everything so fewer admins and cloud push-only changes reduce human error and make anomalies obvious; rapid response using extensive logs and alerts to cut recovery from weeks to days; and secure recovery by storing data with AWS S3 checksummed end-to-end, multi‑AZ redundancy and periodic audits that deliver an 11 9s of durability promise. Examples include Druva protecting 300+ PB across 20 regions with ~6 billion backups/year, YubiKey MFA for admin access, S3 checksum bracketing, and new PyTorch and Mountpoint optimizations for ML workloads.
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chapters (10)
- 0:00Introduction and goals
- 1:52The Druva data protection
- 3:22Steps for better security
- 12:35Incident response and logs
- 20:40Recovery strategies
- 28:28AWS S3 data durability
- 39:56Real-world recovery cases
- 46:52Generative AI introduction
- 48:13AI integration and security
- 51:30Final recommendations
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