Nvidia announced today that its Digital Labs Playground of its latest security products is now available, allowing users to try out an artificial intelligence-powered system designed to monitor individual user accounts for potentially dangerous behavior.
According to the company, the idea is to leverage the vast amounts of data compiled by many organizations on their systems about login and data access events, and use it to train an artificial intelligence that monitors user accounts for deviations from their usual patterns. The system moves security teams from having to comb through millions of events each week to identify issues to a handful of “high-risk” events identified by the system.
Nvidia said in an official blog post that the solution is essentially “a kind of Lego kit” for digital fingerprint recognition, allowing users to customize their own solution that best meets their needs.
Justin Boitano, vice president of enterprise and edge computing at Nvidia, said in a briefing that the system has the potential to reduce workload and identify potential criminals more quickly.
“This digital fingerprinting API workflow enables security organizations to detect threats immediately,” he said. “This means identity attacks, the most common form of enterprise security attack where bad actors gain employee credentials through social engineering or phishing attempts, can be quickly mitigated and detected immediately.
Nvidia says systems like this are just the beginning of AI-powered security efforts. In the future, more detailed user profiles, including granular data like typing speed and accuracy, could be used to help identify suspicious behavior, the company said in its blog post.
“Cyber incident data is gold for building network-hardening AI models, but no one is willing to share the details of real users and break-ins,” Nvidia wrote. “Synthetic data generated from digital fingerprint variants can fill in the gaps, allowing users to create the content they need to fit their use case.
The digital fingerprint system is currently available within Nvidia’s AI Enterprise platform, and the new lab module – which allows users to complete real-world deployments on Equinix-hosted example architectures and interact with Nvidia experts – is available through the company’s LaunchPad website.