Coming soonTechnology

Accenture Labs

Visualizing 200M Cybersecurity Alerts Daily with GPUs

Accenture Labs faced the challenge of managing and analyzing an overwhelming volume of cybersecurity alerts, with 200 million generated daily. To tackle this issue, they leveraged NVIDIA GPUs and the nvGRAPH library, utilizing the powerful NVIDIA DGX-1 deep learning supercomputer to process extensive network graphs containing up to 4 billion nodes. This innovative approach significantly enhanced their capability to detect anomalies in real-time, allowing for quicker identification of potential threats. As a result, the organization not only improved its cybersecurity response but also reduced development cycles by several months, leading to more efficient operations and heightened security measures.

This case study is in our research queue. We publish each one with the outcomes and the sources behind them, which takes time — check back, or read the ones that are ready.

Browse published case studies