Case Study: SparkCognition achieves faster, 99.5%‑accurate detection of zero‑day Android malware with Google Cloud Platform

SparkCognition Detecting malware faster with machine learning

SparkCognition, an Austin-based AI company, needed to detect and stop new Android and endpoint malware at machine scale. Its DeepArmor product required faster model training, global availability, and the ability to respond to zero-day threats quickly to keep customers protected and satisfied.

By using Google Cloud Machine Learning Engine with Dataproc, TensorFlow, on‑demand GPUs, Cloud Storage, and Compute Engine, SparkCognition accelerated large-scale model training and instantly rolled out updates worldwide. The result: sub-second global threat analysis, faster feature development, scalable deployment to millions of users, and detection of zero-day threats with 99.5% accuracy.

SparkCognition

Tina Thibodeau

Vice President, Strategic Alliances & Channels