Our privacy-sensitive approach enables us to gather data on the network, device, software, application, and user configuration to detect technical evidence of compromise. White Ops collects an average of 2,500 signals for each interaction. Of all the tests we serve, it only takes one failure to identify a sophisticated bot.

White Ops Threat Intelligence analysts proactively hunt for new threats on the internet, attributing threats to specific botnet operators, campaigns, and other threat actors. They specialize in threat hunting, malware reverse engineering, and threat modeling.

We analyze thousands of data points collected across trillions of transactions to predict malicious behavior, enabling us to provide a high level of accuracy, even when there is minimal technical evidence.

White Ops has continuously adapted over the last 7+ years, creating thousands of markers and hundreds of algorithms. Our speed to identify and build new detection mechanisms means we stay ahead of the adversary more than other solutions that are built on fixed detection mechanisms.