- The Doca Argus of Nvidia promises real -time protection for AI calculation environments
- The system runs to detect and respond without impact on performance
- Cisco and Nvidia work to secure the deployments of EA evolution infrastructure
Nvidia extends its AI ambitions to cybersecurity with the launch of Doca Argus, a new software framework aimed at protecting AI infrastructure in real time.
Part of the Doca software platform in Nvidia, Argus works on its Bluefield networking equipment to detect and respond to threats as they occur, without relying on traditional security tools based on the host.
“Cyber-defensers need solid tools to effectively protect AI factories, which serve as the basis for aging reasoning,” said David Reber, director of security at NVIDIA. “The Doca Argus framework provides real -time security information to allow autonomous detection and response – equip the defenders with a data advantage thanks to an exploitable intelligence.”
Built to work with existing corporate safety configurations
Argus is designed to operate independently of the system it monitors, avoiding integration into the host operating system.
This makes him invisible for attackers and avoids slowing down the system he protects. It works in containerized and multi-local environments, including deployments using NVIDIA NIM microservices.
NVIDIA says Argus uses memory criminaltics to detect threats up to 1,000 times faster than existing agent solutions. Because it does not work on the host, that will have no impact on performance.
The system is designed to operate with existing corporate safety configurations such as SIEM, SOAR and XDR platforms.
Cisco works with Nvidia to create a secure AI factory using this architecture.
“It is now time for companies to advance AI, but the key to unlock cases of innovative use and allowing large adoption is security and security,” said Jeetu Patel, executive vice-president and product manager at Cisco.
Doca Argus is part of the wider cybersecurity platform of Nvidia, which includes Bluefield Hardware and the Morpheus AI frame. The objective is to improve visibility and the response to the threat in IA infrastructure.
Argus is formed using the internal security data from Nvidia, in order to reduce false alerts and focus only on real threats. This, according to the company, will help the safety teams to avoid alert fatigue and to act faster
