Jonathan Anthony

AI tokenization has become essential for enterprises seeking to balance data security with innovation, enabling sensitive data to be used safely in AI workloads without compromising utility or compliance. That requirement is reshaping how data security leaders think about their role in the organization.

Cyberattacks are no longer just an information technology problem - they have become a board-level business continuity crisis, forcing enterprises to rethink cyber resilience strategy from the storage layer up. As cyber resilience strategy evolves from a compliance checkbox into an operational imperative, companies are discovering that immutable backups alone are no longer enough.

Data intelligence is becoming the next battleground for enterprise AI and autonomous infrastructure as companies discover that copying information into dashboards and data lakes is too slow for agentic workloads. The shift is forcing IT teams to rethink architectures built for applications first and data second. That debate is also reshaping how infrastructure companies frame their AI strategies, as recent SiliconANGLE coverage of Pure Storage shows.