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CNET Silicon Valley: Ransomware Detection Using Storage-Embedded AI

  • 10 Dec 2024
  • 10:00 PM - 11:59 PM
  • Zoom

Registration

Topic: 

CNET Silicon valley:

Ransomware Detection Using Storage-Embedded AI

Andrew Walls of Great Walls of Storage

Tue, Dec 10 2024, 7:00 pm – 9:00 pm PST   (10 PM to 12 am EST)

Location: SEMI, Milpitas, CA  and Zoom


This event is free!  Registration is on the CNET Silicon Valley website.


https://californiaconsultants.org/event/ransomware-detection-storage-embedded-ai/


Event Description:

Ransomware is wreaking havoc on our society, and costing billions of dollars. This presentation will describe a novel approach for fighting against a problem that is growing ever worse as the demand for reliable data storage grows. The technique captures statistics about incoming data, and feeds this data into an AI-trained model in real time. A key aspect of its success is that it operates as part of the firmware that manages the flash memory-based storage system itself.

This talk will describe how this approach to this sticky problem has been successfully deployed in large production systems. Included will be a discussion of how the results coming back are also able to improve the model over time, how this allows for detecting corruption very early, and so is able to significantly reduce the time to recover.


Ransomware Detection Using Storage-Embedded AI 2About the speaker,  Andrew Walls of Great Walls of Storage

Andy Walls recently retired as Chief Architect and CTO for IBM’s Flash Systems. He was also an IBM Fellow, IBM’s most prestigious Honor. Andy worked for IBM for 43 years, and he now is a data storage consultant. He is a pioneer in enabling flash in the enterprise, and he has shaped the IBM storage portfolio to be highly differentiated and popular.

Andy was responsible for IBM’s acquisition of Texas Memory Systems, and he defined and shaped the IBM FlashCore Module which is at the heart of its FlashSystem product line. He led and continues to consult on the architecture and definition of the entire FlashSystems NVMe product portfolio. Known as an innovator, he has applied for or filed over 150 patents.