This post was originally published on Network Computing
SAN FRANCISCO – The industry’s largest security show, RSAC Conference 2025, is underway in its normal home of San Francisco. The event has been filled with news surrounding how AI can be used to improve security operations. At the event, NVIDIA made an announcement to help organizations secure AI workloads while they’re running.
NVIDIA introduced Argus, which is a runtime security module within the broader DOCA framework. Rather than relying on traditional security agents installed on host CPUs, which can be risky if hacked, DOCA Argus runs separately on NVIDIA’s BlueField data processing units (DPUs). This is an ideal use case for DPUs, which are designed to offload the heavy lifting from processor intensive workloads, such as security processing.
DOCA Argus is provisioned directly onto the BlueField DPUs using zero-trust security, so the host CPU is completely out of the loop. Isolation is a key component of this architecture. If the CPU is compromised, DOCA Argus remains operational, ensuring that security measures stay in place if cybercriminals gain access to the host system.
Once deployed, DOCA Argus doesn’t just verify containers when they’re first installed but continuously monitors them during runtime. It protects containerized AI workloads, such as NVIDIA NIMs, which are prepackaged,
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