Aniview Partners with White Ops to Fend Off Sophisticated Bot Attacks and Safeguard the Integrity of Video Advertising
Aniview, a leading provider of holistic end-to-end ad-serving solutions for publishers, announced a new partnership with White Ops, the global leader in collective protection against sophisticated bot attacks and fraud. Aniview’s platform will fully integrate the White Ops Advertising Integrity solution to help optimize protection and ensure its customers’ safety from malicious and sophisticated cybersecurity risks. As a result of this partnership, publishers and advertising networks have another avenue by which they can access White Ops protection for their inventory.
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“Working with White Ops and our internal fraud detection tools, we will develop greater application integrity by identifying and blocking bot traffic with the highest degree of accuracy and speed to stay ahead of adversaries.”
The most common types of video fraud occur when malicious fraudsters misrepresent their display units as video inventory in programmatic exchanges. These sophisticated bots are deployed through malware embedded in software, essentially performing device-hijacking on a mass, organized scale. With the significant dangers ad fraud poses to the video supply chain, safety has become an increasingly critical issue and, as such, dangers are being met with innovative solutions.
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White Ops recently became the first company to receive accreditation from the Media Rating Council (MRC) for end-to-end coverage against Sophisticated Invalid Traffic (SIVT) for desktop, mobile web, mobile in-app, and Connected TV (CTV). Working directly with the largest internet platforms, DSPs, and exchanges, White Ops verifies the humanity of more than 10 trillion digital interactions per week.
With White Ops Advertising Integrity, platforms can tap into the most comprehensive pre-bid prevention and post-bid detection capabilities to verify the validity of advertising efforts across all channels. The White Ops Fraud Mitigation Platform uses a multilayered detection methodology to spot and stop sophisticated bots and fraud by using technical evidence, continuous adaptation, machine learning, and threat intelligence.
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