62% of Organizations Unprepared for AI‑Driven Storage Surge, Study Finds
What Happened — A Seagate‑commissioned survey of 2,712 enterprise technology leaders across 7 countries shows that 99 % expect AI to increase storage needs in the next three years, yet only 38 % feel prepared. 32 % anticipate a storage demand rise of more than 50 %, and 43 % cite storage infrastructure as a top barrier to AI deployment.
Why It Matters for Trust & Control Assurance
- Continuous control‑assurance programs must capture evidence that data‑storage capacity planning aligns with governance objectives, otherwise organizations cannot prove they meet storage‑related control objectives.
- Without documented, auditable storage‑capacity controls, firms risk gaps in data‑retention, availability, and sustainability controls that map to multiple frameworks (e.g., NIST CSF, ISO 27001).
- Verisq’s Control Mapping capability lets you map storage‑infrastructure controls to the Verisq Common Framework, generating real‑time evidence for audits and risk reviews.
Who Is Affected — Enterprises across technology, finance, manufacturing, and services that are scaling AI workloads.
Recommended Actions
- Conduct a storage‑capacity gap analysis against the “Data Storage & Retention” control objective in your trust‑assurance program.
- Document capacity‑planning policies, monitoring metrics, and sustainability targets as continuous evidence.
- Integrate storage‑control mapping into your existing audit‑readiness platform. Source: ZDNet article
Technical Notes
- The study highlights AI‑driven data growth, not a specific technical flaw.
- No CVEs or malware are involved; the risk is operational – insufficient storage to meet AI data‑retention and availability requirements. Source: ZDNet article