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Is Your Data Storage Strategy AI-Ready?
- The adoption of AI has led to an increased need for proper data governance, with companies now pressured to ensure data maturity.
- Globally, many companies are actively using or considering AI for business operations, but only 14% of cyber leaders can balance data efficiency and security.
- Having a data maturity model framework helps organizations optimize data usage, identify security gaps, and improve data efficiency.
- Proper storage is crucial for handling critical data in AI workloads to prevent data loss or tampering from threats like ransomware.
- Data accessibility, security, recovery capability, and optimization for AI workloads are essential aspects of proper storage for AI-created data.
- Businesses need to ensure that backups and storage configurations are ransomware-proof, secure, and enable quick recovery in case of a disaster.
- Tiered backup storage is a cost-effective solution for organizing data based on importance, ensuring quick access and secure backups.
- Having immutable storage with S3 Object Storage, zero time to immutability, and no access to destructive actions is crucial for secure backup environments.
- Segmentation of backup software and storage, along with a dedicated hardware form factor, adds layers of security to backup storage environments.
- Meeting requirements like immutability in backup storage ensures data protection and recoverability against ransomware, insider threats, or breaches.
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