Google has introduced a powerful new artificial intelligence system to better protect its Google Ads platform from fraudulent advertisers. The goal is to make advertising safer and fairer for genuine businesses.
According to a new research paper published on December 31, 2025, Google has quietly rolled out an AI model called the Advertiser Large Foundation model, or ALF. This system significantly improves Google’s ability to detect policy violations and harmful behavior on its advertising platform.
Google says it does not want anyone trying to trick its algorithms. The company takes strong steps to ensure dishonest advertisers do not harm those who follow the rules. With ALF, Google aims to create an environment where honest advertisers can use Google Ads with confidence.
A Smarter Way to Detect Fraud
ALF is a multi modal AI model. This means it can analyze many different types of information at the same time. These include ad text, images, videos and structured data such as billing details, account age and performance history.
On their own, some of these signals may not show clear signs of fraud. But when combined, they help ALF spot patterns that suggest rule breaking or bad intent. This gives Google a much clearer picture of how an advertiser is behaving.
One of ALF’s key strengths is its ability to handle complex and high volume data. It also uses a technique called inter sample attention. This allows the system to compare large groups of advertiser accounts and identify those that behave differently from the norm.
Strong Results in Testing
Google’s internal tests show that ALF performs far better than earlier systems. In some critical policy checks, the model improved fraud detection recall by more than 40 percentage points. At the same time, it achieved precision levels as high as 99.8 percent in other checks.
These results show a major improvement over older models that were designed to detect only specific types of violations.
Built for Real World Use
Because ALF is a larger and more advanced model, it works with slightly higher processing time. However, researchers say its performance is still well within acceptable limits for practical use. With better hardware, the system can become even faster and more efficient.
Google has now integrated ALF into its Ads Safety system. This means the model is actively helping to identify advertisers who do not follow platform rules.
Focus on Safety and Privacy
Google says privacy remains a priority. All personally identifiable information is anonymized before analysis. The system focuses on behavior patterns rather than personal identities.
While Google has not confirmed plans to use ALF in other products like Search or Business Profiles, the research suggests it could be applied in the future to areas such as audience modeling and ad creative optimization.
With ALF, Google is taking another step toward making its advertising platform safer for users and fairer for businesses worldwide.
