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GOVERNING DOWNLOAD TERMS: Use of the SDK is governed by the NVIDIA DOCA License Agreement .

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Introduction

DOCA Argus -\nA DOCA service running on the NVIDIA BlueField networking platform, to immediately detect, and allow responding to, attacks minimizing their potential impact and risk.\nThe DOCA Argus framework provides real time situational awareness and runtime threat detection by inspecting host memory using advanced memory forensics. Live machine introspection is performed at the hardware level, analyzing specific snippets of volatile host memory, to monitor threats in real time without impacting system performance. DOCA Argus does not violate privacy as information is extracted from kernel structures only.\nUnlike conventional tools, Argus runs independently of the host, requiring no agents, integration or reliance on host-based resources. This agentless, zero-overhead design enhances system efficiency and ensures resilient security in any compute environment, including bare-metal, virtualized, containerized and multi-tenant infrastructures. By operating outside the host, isolated, in its own trust domain, DOCA Argus remains invisible to attackers — even in the event of a system compromise.

Cybersecurity professionals can seamlessly integrate DOCA Argus with their SIEM, SOAR and XDR security platforms, enabling continuous monitoring, incident response, and automated threat mitigation while extending their existing cybersecurity capabilities into other environments (i.e., AI infrastructure).

NVIDIA BlueField is a foundational security component for every AI factory and AI cloud, providing built-in, data-centric protection for AI workloads at scale. By combining BlueField’s acceleration capabilities with DOCA Argus’ proactive threat detection, cloud service providers and enterprises can secure AI factories without compromising performance or efficiency.

A single BlueField card with DOCA Argus is to monitor an entire node.

$\"my$

Installation and Getting Started

All preparation steps are listed under :DOCA's Container Deployment User Guide.

Note: The DOCA Service container is configured for K8S-based deployment, hence the use of the docker pull command is discouraged.

Preparation steps for the DOCA Service

As explained in the service's Argus Service Documentation, there are some resource allocation steps needed before the service can be executed. It is recommended to go over the service's user guide and follow the instructions that match the DPU on which the service will be deployed.

Adjusting the .yaml configuration

The .yaml configuration for our container is doca_argus.yaml.

Note: The file is stored with the rest of the .yaml configurations as were pulled from NGC in the previous steps (See \"Installation and Getting Started\").

The main environment variables that should be adjusted according to the setup are the following:

\n
SERVICE_CONFIG_FILE - Full service configuration file, options are either a \"default\" config file or customized config file placed under /etc/argus or the yaml content string (presented by default in the downloaded yaml)
\n
\n
Configuring telemtry - FluentBit is integrated into the Argus service telemetry system to handle the export of telemetry data. This integration ensures that logs and metrics are efficiently collected and forwarded to the desired destinations for analysis and monitoring.
\n

Note: The integration from Argus service to FluentBit is locally, after that FluentBit can be configured to send the data to end destination or be a proxy for another FluentBit with additional security among them. Check resources page for FluentBit configuration examples

Spawning the container

Simply copy the doca_argus.yaml file to the /etc/kubelet.d directory. Kubelet will automatically pull the container image from NGC, and spawn a pod executing the container. The DOCA Argus service will start executing right away.

# View currently active pods, and their IDs (it might take up to 20 seconds for the pod to start)\ncrictl pods\n\n# View currently active containers, and their IDs\ncrictl ps\n\n# Examine logs of a given container\ncrictl logs \n\n# Examine kubelet logs, in case something didn't work as expected\njournalctl -u kubelet\n

Please refer to the documentation for more information.

Documentation

The DOCA Argus Service Guide is available Doca Argus Service Guide.

License & EULA

This DOCA Microservice is licensed under the NVIDIA Networking Product Agreement.\nBy pulling and using this product, you accept the terms and conditions of this license.

Technical Support

Use the NVIDIA Developers forum for questions regarding this Software.

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Live machine introspection is performed at the hardware level, analyzing specific snippets of volatile host memory, to monitor threats in real time without impacting system performance. DOCA Argus does not violate privacy as information is extracted from kernel structures only.\nUnlike conventional tools, Argus runs independently of the host, requiring no agents, integration or reliance on host-based resources. This agentless, zero-overhead design enhances system efficiency and ensures resilient security in any compute environment, including bare-metal, virtualized, containerized and multi-tenant infrastructures. By operating outside the host, isolated, in its own trust domain, DOCA Argus remains invisible to attackers — even in the event of a system compromise.\n\nCybersecurity professionals can seamlessly integrate DOCA Argus with their SIEM, SOAR and XDR security platforms, enabling continuous monitoring, incident response, and automated threat mitigation while extending their existing cybersecurity capabilities into other environments (i.e., AI infrastructure).\n\nNVIDIA BlueField is a foundational security component for every AI factory and AI cloud, providing built-in, data-centric protection for AI workloads at scale. By combining BlueField’s acceleration capabilities with DOCA Argus’ proactive threat detection, cloud service providers and enterprises can secure AI factories without compromising performance or efficiency.\n\nA single BlueField card with DOCA Argus is to monitor an entire node.\n\n\n![my photo](https://docscontent.nvidia.com/dims4/default/b4f7297/2147483647/strip/true/crop/1740x860+0+0/resize/1440x712!/format/webp/quality/90/?url=https%3A%2F%2Fk3-prod-nvidia-docs.s3.us-west-2.amazonaws.com%2Fbrightspot%2Fconfluence%2F00000197-c37a-da67-a7bf-c77f3b3f0000%2Fdoca%2Fsdk%2Fimages%2Fdownload%2Fattachments%2F3784068993%2Fimage-2025-1-20_18-59-49-version-2-modificationdate-1744205966517-api-v2.png)\n\n\n## Installation and Getting Started\nAll preparation steps are listed under :DOCA's [Container Deployment User Guide](https://docs.nvidia.com/doca/sdk/doca+container+deployment+guide/index.html).\n\n**Note:** The DOCA Service container is configured for K8S-based deployment, hence the use of the docker pull command is discouraged.\n\n\n## Preparation steps for the DOCA Service\nAs explained in the service's [Argus Service Documentation](https://docs.nvidia.com/doca/sdk/doca+argus+service+guide/index.html), there are some resource allocation steps needed before the service can be executed. It is recommended to go over the service's user guide and follow the instructions that match the DPU on which the service will be deployed.\n\n## Adjusting the .yaml configuration\nThe .yaml configuration for our container is **doca_argus.yaml.**\n\n**Note:** The file is stored with the rest of the .yaml configurations as were pulled from NGC in the previous steps (See \"Installation and Getting Started\").\n\nThe main environment variables that should be adjusted according to the setup are the following:\n\n- SERVICE_CONFIG_FILE - Full service configuration file, options are either a \"default\" config file or customized config file placed under `/etc/argus` or the yaml content string (presented by default in the downloaded yaml)\n \n- Configuring telemtry - FluentBit is integrated into the Argus service telemetry system to handle the export of telemetry data. This integration ensures that logs and metrics are efficiently collected and forwarded to the desired destinations for analysis and monitoring.\n\n**Note:** The integration from Argus service to FluentBit is locally, after that FluentBit can be configured to send the data to end destination or be a proxy for another FluentBit with additional security among them. Check [resources page](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/doca/resources/doca_argus) for FluentBit configuration examples\n\n# Spawning the container\n\nSimply copy the `doca_argus.yaml` file to the `/etc/kubelet.d` directory. Kubelet will automatically pull the container image from NGC, and spawn a pod executing the container. The DOCA Argus service will start executing right away.\n```\n# View currently active pods, and their IDs (it might take up to 20 seconds for the pod to start)\ncrictl pods\n\n# View currently active containers, and their IDs\ncrictl ps\n\n# Examine logs of a given container\ncrictl logs \n\n# Examine kubelet logs, in case something didn't work as expected\njournalctl -u kubelet\n```\nPlease refer to the documentation for more information.\n\n## Documentation\n\nThe DOCA Argus Service Guide is available [Doca Argus Service Guide](https://docs.nvidia.com/doca/sdk/doca+argus+service+guide/index.html).\n\n## License & EULA\n\nThis DOCA Microservice is licensed under the [NVIDIA Networking Product Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-networking-products/). \nBy pulling and using this product, you accept the terms and conditions of this license.\n\n## Technical Support\n\nUse the [NVIDIA Developers forum](https://forums.developer.nvidia.com/c/infrastructure/doca) for questions regarding this Software.","displayName","DOCA Argus",["D",1788787321152],"publisher","NVIDIA","latestVersion","versions",[161,198,196,193],"imageUrl","/api/image/nvidia/doca/containers/doca_argus","rawImageUrl","canGuestDownload","latestVersionSizeInBytes",692416804,"licenseTerms",{"_255":66,"_256":16,"_257":258,"_259":20,"_260":261},"isMultinodeEnabled","isMultiArchitecture","hasSignedTag","featureLabels",[251],"displayLabels",[248],"policyLabels",[],"systemLabels",[241],"products",[],"hasNimMetadata",{"_211":242,"_243":242,"_244":245,"_73":246},"signed images","value","filter",{"_247":246,"_243":242},"system","field",{"_211":249,"_243":249,"_244":250,"_73":77},"NSPECT-X1MD-DWQY",{"_247":77,"_243":249},{"_211":252,"_243":252,"_244":253,"_73":254},"NVIDIA AI Enterprise Supported",{"_247":77,"_243":252},"feature","governingTerms","licenseId","licenseVersion","v1.0","needsAcceptance","configuredLicenseTerms",{"_262":263,"_264":265},"hosting",{"_266":267,"_67":270,"_65":271},"download",{"_266":267,"_67":268,"_65":66},"artifactType","sdk",[269],{"_71":72,"_73":74,"_75":76,"_77":76},[272],"

GOVERNING HOSTING TERMS: Download hosted at NVIDIA.com

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If you do not allow these cookies, then some or all of these services may not function properly.",[578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602],[549,550,551,552,553],{"_387":463,"_211":463,"_162":389,"_361":573},{"_387":437,"_211":437,"_162":389,"_361":568},{"_387":563,"_211":563,"_162":389,"_361":564},{"_387":558,"_211":558,"_162":389,"_361":559},{"_387":554,"_211":554,"_162":389,"_361":555},"nvidia.partners",[556],{"_194":557,"_394":554,"_395":20,"_162":431},"edge","app.hushly.com",[560],{"_194":561,"_394":558,"_395":20,"_162":562},"*CORS","This domain is associated with Hushly, a platform that provides lead conversion solutions for content marketing by using personalization and content engagement strategies.","github.com",[565],{"_194":566,"_394":563,"_395":20,"_162":567},"_octo","This domain is owned by Github. 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These cookies may store a unique ID so that our system will remember you when you return. Information collected with these cookies is used to measure and find ways to improve website performance.",[661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689],[641,642,643,644],{"_387":656,"_211":656,"_162":389,"_361":657},{"_387":651,"_211":651,"_162":389,"_361":652},{"_387":450,"_211":450,"_162":389,"_361":648},{"_387":563,"_211":563,"_162":389,"_361":645},[646],{"_194":647,"_394":563,"_395":18,"_162":567},"_gh_sess",[649],{"_194":650,"_394":450,"_395":18,"_162":457},"YSC","bizible.com",[653],{"_194":654,"_394":651,"_395":20,"_162":655},"_BUID","Bizible is a marketing attribution software that tracks the performance of marketing efforts and connects them to revenue, primarily used for B2B environments.","a.usbrowserspeed.com",[658],{"_194":659,"_394":656,"_395":20,"_162":660},"tuid","This domain is owned by Ookla which provides internet speed testing services through its Speedtest application.",{"_194":731,"_394":509,"_395":20,"_162":732},{"_194":716,"_394":730,"_395":18,"_162":717},{"_194":699,"_394":512,"_395":20,"_162":624},{"_194":699,"_394":612,"_395":20,"_162":624},{"_194":728,"_394":509,"_395":20,"_162":729},{"_194":716,"_394":515,"_395":18,"_162":717},{"_194":726,"_394":509,"_395":20,"_162":727},{"_194":716,"_394":512,"_395":18,"_162":717},{"_194":724,"_394":611,"_395":20,"_162":725},{"_194":716,"_394":633,"_395":18,"_162":717},{"_194":696,"_394":512,"_395":20,"_162":698},{"_194":722,"_394":509,"_395":18,"_162":723},{"_194":720,"_394":509,"_395":20,"_162":721},{"_194":718,"_394":509,"_395":18,"_162":719},{"_194":716,"_394":607,"_395":18,"_162":717},{"_194":714,"_394":509,"_395":20,"_162":715},{"_194":712,"_394":509,"_395":20,"_162":713},{"_194":710,"_394":509,"_395":18,"_162":711},{"_194":708,"_394":616,"_395":20,"_162":709},{"_194":696,"_394":607,"_395":20,"_162":698},{"_194":706,"_394":509,"_395":20,"_162":707},{"_194":704,"_394":509,"_395":18,"_162":705},{"_194":702,"_394":509,"_395":20,"_162":703},{"_194":700,"_394":509,"_395":20,"_162":701},{"_194":699,"_394":509,"_395":20,"_162":624},{"_194":696,"_394":697,"_395":20,"_162":698},{"_194":694,"_394":509,"_395":20,"_162":695},{"_194":692,"_394":509,"_395":18,"_162":693},{"_194":690,"_394":509,"_395":20,"_162":691},"_ga_xxxxxxxxxx","Used by Google Analytics to identify and track an individual session with your device.","s_ppvl","This cookie is set by Adobe Analytics to store information on the percentage of the page displayed to the end user.","coveo_visitorId","This cookie name is associated with Coveo which is used to store a unique user ID for marketing purposes and to track the number of distinct users who submitted a query or clicked an item, counting them only once even if they did the same query or clicked the same item over the course of many visits.","_dd_s","marketplace.nvidia.com","Datadog Cookie used to group all events generated from a unique user session across multiple pages. 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