Google, Meta and Amazon join the global coalition to combat rising online fraud


Modern online scams operate across multiple platforms, perhaps spanning social media, messaging apps, email, and online marketplaces. Google, Meta and Amazon are among 11 companies in technology, retail and payments that have signed a new agreement to combat online fraud by sharing threat information across platforms. It was first reported by Axios on Monday.

The initiative, called the Industry Compact Against Online Scams and Fraud, is designed to improve how businesses detect and respond to fraud involving multiple services. Participants say they will share signals, such as fraud-related accounts and fraudulent domains, and coordinate enforcement actions.

By sharing intelligence in near real-time, companies hope to identify these scams early and stop them before they spread.

Atlas of Artificial Intelligence

This effort reflects how modern scams work. A victim might encounter a fake celebrity investing ad on social media, navigate to a messaging app where the scammer builds trust, and then face demands to send money via a fraudulent website, payment app, or cryptocurrency wallet — spanning multiple company ecosystems.

Google said It now blocks hundreds of millions of fraud-related results every day using AI, underscoring how attackers and defenders increasingly rely on the same technology. dead It removed more than 159 million fraudulent ads in 2025 and is expanding its AI tools to detect impersonation and warn users.

Online scams are growing rapidlyPartly because Generative artificial intelligence You have lowered the barrier to entry. AI can be used not only to produce realistic phishing emails, but also to clone deepfake voices and videos impersonating executives, public figures, and even family members.

The agreement is voluntary and does not create new legal obligations, but they come afterward Increased pressure from regulators on technology platforms To address fraud more aggressively. The companies say they will begin building reporting and intelligence-sharing frameworks, although it is not yet clear how quickly these systems will be deployed or how effective they will be in practice.



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