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How NVIDIA’s Threat Hunting process leverages Grafana and Loki for log analysis at scale

The security team at NVIDIA, a leading manufacturer of GPU and AI hardware and software, has developed a powerful Threat Detection System (TDS) for analyzing security logs at scale to detect malicious activity. The team relies on Grafana and Grafana Loki to provide a robust platform for analyzing different types of data, such as network logs alongside access logs, to identify and respond quickly to any suspicious activity. This has proven to be an effective and cost-efficient method for identifying threats across several data and log types.

In this session, Senior Software Engineers Amit Singh Hora and Pradeep Thalasta will discuss the current architecture of NVIDIA’s Grafana-Loki stack, which can be deployed on any CSP, including AWS, with Datadog vector as the client for log transmission. The team will share best practices for deploying and managing the stack for scale and multi-tenancy; optimizing performance, efficiency, and cost; and handling unexpected scenarios.

  • Amit Singh Hora
    Amit Singh Hora
    Senior Software Engineer at NVIDIA
  • Pradeep Thalasta
    Pradeep Thalasta
    Senior Software Engineer, Data Science/ML at NVIDIA

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