White Ops for CTV Fraud
Powered by an explosion of new streaming devices and content services, Connected TV (CTV) is becoming one of the fastest-growing markets for advertisers. As with other channels, ad fraud follows the money. Now is the time to prepare for ad fraud in CTV.
White Ops delivers proactive fraud monitoring and real-time prevention solutions across CTV environments.
White Ops is the first organization accredited by the Media Ratings Council (MRC) for pre-bid prevention and post-bid detection of fraud across all major digital advertising platforms: web, mobile web, mobile in-app, and connected TV (CTV).
Today’s bots and botnets are increasingly more sophisticated and deliver a host of malicious activities in CTV, including device spoofing, app spoofing, device farms, hidden ads, and incentivized ads. Equally as damaging is fraudsters’ ability to fake the entire system and siphon legitimate opportunities and revenue. Even the most secure platform is susceptible to buyers purchasing spoofed inventory.
White Ops combines CTV-specific threat research, our multilayered detection approach and a monthly reach of more than 100 billion CTV opportunities to detect and prevent fraud in real-time with unprecedented accuracy.
White Ops uncovers ICEBUCKET, the largest CTV fraud scheme ever found.
CTV Device Impersonation: how it works, how White Ops sees it, and how we stop it.
The role of app-ads.txt in today's environment.
"We believe one dollar spent on a non-human viewer is one too many. We're excited to be integrating with White Ops to prevent that from happening."
"By combining our own proprietary tools and processes with those of White Ops, and focusing on measurably superior outcomes, we can identify and avoid fraud and other undesirable activity, allowing our customers to focus on bettering the overall programmatic journey for the end user."
“Pre-bid is a difference-maker for FreeWheel, and indicative of our focus on trust and standards. White Ops is an industry leader in fraud prevention – ever expanding their capabilities across platforms, and rooting out non-human aspects of the ecosystem to stop fraud in its tracks and give our industry confidence that every impression is real.”