Nvidia uses digital fingerprinting technology to combat insider attacks

Nvidia announced today that its Digital Labs playground of its latest security products is now available, allowing users to try out an AI-powered system designed to monitor individual user accounts for potentially dangerous behavior.

The idea, according to the company, is to tap into the massive amounts of data that many organizations have compiled on their systems anyway about login and data access events, and use that data to train an AI to monitor user accounts for deviations from their usual patterns. The system moves security teams from a scenario where they had to comb through potentially millions of events each week to identify problems, to a handful of “high-risk” events identified by the system.Gateway di edge computing

Digital fingerprint “Lego kit”

In an official blog post, Nvidia said the solution is essentially “a kind of Lego kit” for digital fingerprinting, allowing users to customize a solution that best meets their needs.

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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 potentially malicious actors more quickly.

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“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 obtain 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 its blog post, the company said that in the future, more detailed user profiles, including data as granular as typing speed and accuracy, could be used to help identify suspicious behavior.

“Data about network incidents is gold for building AI models that harden networks, but no one is willing to share details about real users and intrusions,” Nvidia writes. “Synthetic data generated by digitally fingerprinted variants can fill the gap. White space, letting users create what they need to fit their use case.”

The digital fingerprinting system is currently available on Nvidia’s AI Enterprise platform, while the new lab module – which allows users to complete real-world deployments on Equinix-hosted sample architectures and interact with Nvidia experts – is available starting today through the company’s LaunchPad Website obtained.

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