Compute Everywhere: How Storage and Networking Expand the Compute Continuum
Summary
This article discusses how latency is a critical issue in modern analytics, especially for AI and ML applications. It highlights that the massive volume and distribution of data prevent a single node from efficiently processing it, necessitating distributed analytics approaches across network and storage nodes.
IFF Assessment
The article discusses advancements in AI and analytics that increase data processing capabilities and speed, which can also be leveraged by threat actors for more sophisticated attacks.
Defender Context
The increasing complexity and distributed nature of compute and data processing, driven by AI and analytics, presents new challenges for defenders. Organizations need to secure a wider attack surface and ensure data integrity across distributed systems, as these advancements can also accelerate threat actor operations.