Source URL: https://tech.slashdot.org/story/25/04/16/1939254/google-used-ai-to-suspend-over-39-million-ad-accounts-suspected-of-fraud?utm_source=rss1.0mainlinkanon&utm_medium=feed
Source: Slashdot
Title: Google Used AI To Suspend Over 39 Million Ad Accounts Suspected of Fraud
Feedly Summary:
AI Summary and Description: Yes
Summary: Google has significantly ramped up its efforts to combat ad fraud, suspending over 39 million advertiser accounts in 2024 using large language models (LLMs) to detect illegitimate activities. This development highlights the integration of AI in enhancing security measures in advertising platforms, showcasing a blend of technology and human oversight.
Detailed Description:
– Google has suspended a record 39.2 million advertiser accounts on its platform in 2024, which represents more than a tripling of the number from the previous year.
– This effort is part of a broader crackdown on ad fraud aimed at enhancing security protocols within its advertising ecosystem.
– The company utilized large language models (LLMs) and various signals, including:
– Business impersonation
– Illegitimate payment details
– Google claims that these methods allowed it to suspend a “vast majority” of ad accounts before any ads were served, indicating a proactive approach to address fraudulent activities.
– In 2023, Google launched over 50 LLM enhancements that bolstered its safety enforcement mechanisms across all platforms.
– Alex Rodriguez, General Manager for Ads Safety at Google, emphasized the importance of human involvement alongside AI in ensuring the effectiveness of this crackdown.
– Google’s safety measures resulted in blocking 5.5 billion ads and taking action against 2.1 billion publisher pages in 2023 alone.
– In total, it was noted that the company restricted around 9.1 billion ads last year and took extensive measures to maintain the integrity of its platform.
Key Insights:
– The use of LLMs in combating ad fraud exemplifies how AI technology is increasingly being integrated into information security practices.
– This case highlights the balance between automated systems and human expertise in ensuring security and maintaining trust in digital advertising.
– The impressive numbers regarding blocked ads and suspended accounts reflect the significant scale at which AI and automated systems can be applied to enhance safety and compliance in cloud-based advertising platforms.
The implications for security professionals include understanding the growing capabilities of AI in identifying and mitigating fraud risks, as well as the necessity for continuous governance to adapt to evolving threats.