NEW YORK--(BUSINESS WIRE)--White Ops, the leader in human verification technology, has announced the latest release of its product portfolio, which includes new detection capabilities for invalid traffic on both mobile web and mobile apps.
“The detection of mobile in-app fraud is based on sophisticated threat modeling and app reverse engineering. Our security-based, human-first approach at White Ops positions our clients to have the most extensive and scalable fraud detection possible, regardless of media format.”
Advertisers lose an estimated $7.2 billion globally each year as a result of fraudulent impressions -- and with the explosion of mobile devices and increasing use of mobile apps, cyber criminals are embracing a new media channel for invalid traffic. With White Ops’ latest mobile capabilities, organizations can quantify this in-app invalid traffic, while identifying and preventing delivery to it in the future. The ability to achieve this level of protection quickly, easily and at scale is critical. This is why White Ops enables in-app detection without the need for an SDK (software development kit), meaning businesses won’t worry about apps failing and publishers can avoid cumbersome implementations.
“As mobile fraud numbers often only account for mobile web, they can be misrepresented as lower than the actual level of fraudulent traffic,” said Tamer Hassan, CTO, White Ops. “The detection of mobile in-app fraud is based on sophisticated threat modeling and app reverse engineering. Our security-based, human-first approach at White Ops positions our clients to have the most extensive and scalable fraud detection possible, regardless of media format.”
Now embedded within the FraudSensor™ and MediaGuard™ suite, White Ops’ new mobile invalid traffic detection and prevention capabilities provide many key features and benefits for customers, including:
No requirement for an SDK, enabling scalable and lightweight integrations
Ability to detect, distinguish and quantify invalid traffic on both mobile web and mobile apps with the Mobile Invalid Traffic (MIVT) metric
Extensive reporting and measurement across all suppliers and media formats, including display and mobile video
Coverage for various fraud approaches specifically for mobile, including background activity, device impersonation and malware detected
Enhanced user experience and design for dashboard and reporting tools, making it easier to generate insights to take action
“Mobile has always been a core piece of White Ops’ methodology, as we recognize the unique environment this channel presents for both those in the media supply chain, but also for cyber criminals,” said Michael Tiffany, CEO, White Ops. “Every mobile device sold becomes a target for fraud. With this risk in mind, we are committed to innovation that improves viewability and brand safety, while exposing and preventing further fraudulent activity for our customers across all media, including mobile.”
White Ops was the first to be accredited by Media Rating Council (MRC) for Sophisticated Invalid Traffic (SIVT) detection that covers both desktop and mobile web. The company continues to partner with industry leaders, such as TAG, to extend coverage to mobile app-based fraud and MRC to define a mobile in-app based approach that is accreditable and robust against fraud for all. These latest enhancements to the White Ops suite are now generally available worldwide by the close of the month. To learn more, please visit our website.
About White Ops
White Ops is the global leader in human verification technology and data integrity. In 2016, White Ops was the first company to receive Media Rating Council (MRC) accreditation for Sophisticated Invalid Traffic (SIVT) detection, paving the way for the industry and offering a full suite solution that includes viewability, brand safety, fraud detection and pre-bid verification. Working with some of the best hackers and ad tech specialists in the world, we’re able to think outside the box and create the best solutions for our clients. To learn more, visit whiteops.com and follow us on Twitter, LinkedIn and Facebook.
Contact Information: Jenny Radloff, PAN Communication for White Ops - 617.502.4300, email@example.com
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