{"id":50231,"date":"2023-01-23T21:58:00","date_gmt":"2023-01-23T21:58:00","guid":{"rendered":"https:\/\/www.csoonline.com\/article\/3686057\/nvidia-targets-insider-attacks-with-digital-fingerprinting-technology.html#tk.rss_security"},"modified":"2023-01-23T21:58:00","modified_gmt":"2023-01-23T21:58:00","slug":"nvidia-targets-insider-attacks-with-digital-fingerprinting-technology","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/nvidia-targets-insider-attacks-with-digital-fingerprinting-technology\/","title":{"rendered":"Nvidia targets insider attacks with digital fingerprinting technology"},"content":{"rendered":"
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Nvidia today announced that a digital lab playground for its latest security offering is now available, letting users try out an AI-powered system designed to monitor individual user accounts for potentially hazardous behavior.<\/p>\n

The idea, according to the company, is to leverage the large amounts of data that many organizations compile anyway about login and data access events on their systems, and use that to train an AI that watches for user accounts to diverge from their usual patterns. The system moves security teams from a scenario in which they have to comb through potentially millions of events a week to identify a problem to a small handful of \u201chigh risk\u201d events identified by the system.<\/p>\n

A digital fingerprinting “LEGO kit”<\/h2>\n

In an official blog post<\/a>, Nvidia said that the solution is essentially \u201ca kind of LEGO kit\u201d for digital fingerprinting, allowing users to customize their own solution that best meets their needs.<\/p>\n

Justin Boitano, Nvidia vice president of enterprise and edge computing, said in a briefing that the system has the potential to both reduce workloads and enable faster identification of potential malefactors.<\/p>\n

\u201cThis digital fingerprinting API workflow enables security organizations to detect threats instantly,\u201d he said. \u201cAnd this means identity attacks, which are the most common form of enterprise security attacks where bad actors are going after employee credentials via social engineering, or phishing attempts, can quickly get mitigated and detected instantly.\u201d<\/p>\n

Nvidia said that systems like this are just the beginning for AI-backed security efforts. In future, more detailed user profiles, including data as granular as typing speed and accuracy, could be used to help identify suspicious behavior, the company said in its blog post.<\/p>\n