Welcome to the first edition of Kubient’s Monthly Fraud Index Report.

 

This report is designed to bring transparency to an industry that’s anything but transparent — and that’s ad fraud.

We’re here to put an end to that. Using our proprietary platform, KAI (Kubient Artificial Intelligence), we’ve been able to gain access to a 360-degree view of ad fraud that has previously been untapped.

Our platform and ad fraud recognition platform is so powerful that it’s been picking up on ad trends and sources that aren’t even visible when analyzed by people.

And what do we plan on doing with this information?

Giving it to you, for free.

We’re compiling digestible, comprehensible reports so you can be the first to spot the trends in ad fraud as they’re happening, not months later.

What’s included in each month?

Data-Driven Reports

Our monthly index reports are generated directly from KAI’s database, ensuring accuracy and transparency.

You can expect only relevant data points and visuals — without all the fluff.

  • Fraud Distribution
  • Most Popular Request Types
  • Top Buyers Losing Money
  • Fraud Distribution by Location
  • Fraud by Devices
  • & more

Industry Insights

We provide you with relevant insights into the industry and actionable steps. As we continue to bring you these reports each month, we’ll be compiling a comparable index to help spot long term fraud trends, so you know which behaviors to look out for, and which to avoid.

360 Degree Ad Fraud View

Kubient is uniquely positioned to offer a 360-degree view of ad fraud, letting you see more than ever before.

How is this possible, and why isn’t it being done already?

The vast majority of fraud detection services that claim their ML is backed by AI is actually human supervised with drops of AI for filtering. KAI being an unsupervised ML is what enables users (publishers, affiliates, etc.) to have a 360 lens on their traffic versus a single lens like the other incumbents.

This is the reason why the fraudulent traffic numbers from other mainstream detection services are skewed so low. They only see what they can see, what’s evidently available, and not what’s hiding on the other side.

Not only is this a less effective method of identifying and stopping fraud — it’s also a lot more costly. Which is why companies spend so much having to use more than one platform to triangulate fraud, while KAI gives users the whole scope, in one place.

While the digital advertising world is leaning more towards eliminating cookies in 2020, new ad fraud problems have emerged that other platforms simply do not have the 360-degree view to detect. The unsupervised aspect of KAI’s ML is what allowed Kubient to discover Synthetic Traffic (Dubbed the SynthNet) as a result of a pattern identified by KAI’s self learning algorithm, picking up new networks of fraudulent traffic far before humans would ever be able to.

However, words can only explain so much, the real truth is in the numbers…

Over a period of thirty days, KAI scans it’s entire inventory of traffic across desktop, mobile, and CTV channels, equaling a total of over 700 million requests, and over 100 million unique devices.

There is simply no other traffic detection platform matching the scale of the search properties that the KAI system has been able to tap into.

We’ve never intended to be the gatekeepers of ad fraud prevention and the mass of valuable data that comes with it, which is why we’re offering these monthly transparent reports for free, along with the actual KAI platform to be announced in the coming months.

Monthly Ad Fraud Report  — June Edition Overview

In the month of June, we observe a higher percentage of Device Fraud which consists of fraudsters leveraging a device as the primary means to perpetuate the fraud.

Along with this we also see User Fraud wherein we observe inauthentic users who knowingly or unknowingly have displayed behavior consistent with malicious or fraudulent intent.

The Synth Net is also in action where computer generated traffic is being sold as legitimate mobile application traffic coming from top tier applications.

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