Neuromorphic Data Microscope can be used to inspect massive volumes of streaming data to find patterns that match known bad behavior faster and more cost-effectively than presently possible. Technology was developed by Boston-area startup Lewis Rhodes Labs and fine-tuned with the active participation of researchers from Sandia National Laboratories. It accomplishes in a single processor card the same level of parallelism that would take multiple racks of traditional cybersecurity systems working in parallel to deliver. The technology accelerates complex pattern matching by a factor of over 100 while using 1,000 times less power.”]