Remove ad-fraud-detection
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Ad Fraud Detection in the AI era

The Ad Tech Blog

The need for ad fraud detection techniques has never been more important – especially during this AI bubble. Ad fraud is costing companies billions. You might not lose as much, but I don’t think you will be happy that a bot is clicking your ads, eating your budget away. Keep reading!

GDPR 130
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Click Fraud Detection Firm Polygraph Explains How Removing Ad Keywords Can Eliminate Fake Clicks

Martech Series

Removing high risk ad keywords from your campaigns prevents bots from being able to click on your ads. Polygraph, a cybersecurity firm helping advertisers prevent click fraud, explains how removing ad keywords from campaigns can eliminate the risk of fake clicks. Click fraud isn’t random,” said Vanes.

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ML Models for Threat Prediction in Ads

The Ad Tech Blog

This includes fraud detection , privacy breaches , and malicious ad content. Data sources for ML threat prediction in advertising are diverse, ranging from user interaction data and ad traffic data to real-time bidding information. Feature engineering is a critical step in enhancing the performance of ML models.

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5 Best Ad Fraud Detection and Prevention Tools for Digital Advertising (Update 2021)

Lemonads

While this has improved functionality and allowed these organizations to deliver better services, it has also opened the floodgates of digital fraud and cybercrime as a whole. In the early days of ad fraud, deceitful parties used rudimentary techniques to extract money from online adverts.

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Insider’s Guide on Ad Fraud Detection Tools: Can They Protect Your Traffic?

Smarty Ads

Ad fraud detection companies closely collaborate with ad tech businesses and this trend is not new. Investing their money in ad campaigns, advertisers hope that they will receive only human traffic. Theoretically, the ads should be shown only to the target users — people that can potentially become buyers of.

Ad Tech 52
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Role of AI in Threat Detection and Response within DevSecOps

The Ad Tech Blog

Understanding the Integration of AI in DevSecOps Key Points Enhanced Efficiency: AI technologies streamline DevSecOps processes, significantly reducing the time required for threat detection and response. Natural language processing is used to analyze code and detect vulnerabilities by understanding the context within the software’s text.

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How to Detect & Prevent Ad Fraud: Tips for Digital Publishers

AdPushup

Ad publishers in the ad tech industry spend billions of dollars everywhere, acquiring online ad spaces and placing advertisements. This leads to, just like everywhere else on the internet, a massive possibility of ad fraud.

Ad Tech 52