- Doca Argus de Nvidia promises real -time protection for Ia calculation environments
- The system is executed outside host to detect and respond without impact on performance
- Cisco and Nvidia are working to ensure scalable AI infrastructure implementations.
Nvidia is extending her ambitions of the AI in cybersecurity with the launch of Doca Argus, a new software framework aimed at protecting the real -time AI infrastructure.
Part of the Doca de Nvidia software platform, Argus runs on his Bluefield network hardware to detect and respond to threats as they happen, without depending on traditional security tools based on the host.
“Cyber defenders need robust tools to effectively protect the AI factories, which serve as the basis for agent reasoning,” said David Reber, Nvidia Security Director. “The Doca Argus Framework offers real -time security information to allow autonomous detection and response, equipping defenders with a data advantage through processable intelligence.”
Built to work with existing business security settings
Argus is designed to operate independently of the system that monitors, avoiding integration into the Host operating system.
This makes it invisible to the attackers and avoids stopping the system it protects. It works in container environments and multiple tenants, including implementations that use NVIDIA NIM microservices.
Nvidia says that Argus uses memory forensic to detect threats up to 1,000 times faster than solutions without existing agents. Because it is not executed in the host, it will not affect performance.
The system is created to work with existing business security settings such as SIVER, SAAR and XDR platforms.
Cisco is working with Nvidia to create a safe ia factory using this architecture.
“Now is the time for companies to promote AI, but the key to unlocking innovative use cases and allowing broad adoption is security,” said Jeetu Patel, executive vice president and director of Cisco products.
Doca Argus is part of the AI of Nvidia broader cybersecurity, which includes Bluefield Hardware and the Morpheus AI framework. The objective is to improve visibility and response to threats through AI infrastructure.
Argus is trained using Nvidia internal security data, with the aim of reducing false alerts and focusing only on real threats. This, says the company, will help security equipment to avoid alert fatigue and act faster.
