The human brain reveals how to search data faster. Learn how Lewis Rhodes Labs has harnessed this intelligence with a giant leap forward in data search in this case study with Samsung Electronics.
Quickly evaluate and deploy the Lewis Rhodes Labs turnkey Cyber Forensics Appliance.
Cyber forensics requires the ability to quickly search large, unstructured datasets to determine if there is prior evidence of a detected cyber-attack.
Data sets of unstructured data span many months to years and often contain multiple petabytes of data. Queries currently take days or even months to complete and do not cover the real- time need for actionable intelligence to address and remediate an attack.
The Lewis Rhodes Labs’ NPUsearch Cyber Forensics Appliance, accelerated by AMD, is a scalable, self-searching storage appliance with deterministic search times that are independent of dataset content, dataset size, or search expression complexity, reducing current search times of days or weeks down to minutes.
NPUsearch uses a novel neuromorphic processing technology integrated into storage to accelerate data search capability.Read Solution Brief
Cost of an average data breach for an enterprise with >25,000 employees
Average time to detect and contain a data breach due to a malicious attack
Average cost savings of containing a breach in less than 200 days
Reduce Data Lake Search Time to Minutes – Not Days with Search-in-Storage
|NPU Search||Smart SSD
The NPUsearch appliance is based on a dual AMD EPYC 2U Rack server containing 24 Samsung SmartSSD® computational storage drives (96 TB storage) powered by AMD FPGAs. Multiple appliance racks provide capacity for petabytes of self-searching storage with a constant search latency of 25 minutes.
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