Google, Meta and Amazon Join Global Pact to Fight Rising Online Scams


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

The initiative, called the Industry Accord Against Online Scams & Fraud, is designed to improve how companies detect and respond to fraud that spans multiple services. Participants say they will exchange signals, such as scam-linked accounts and fraudulent domains, and coordinate enforcement actions.

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

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The effort reflects how modern scams operate. A victim might encounter a fake celebrity investment ad on social media, move to a messaging app where the scammer builds trust, then faces prompts to send money through a fraudulent website, payment app or crypto wallet — spanning multiple companies’ ecosystems.

Google said it now blocks hundreds of millions of scam-related results every day using AI, underscoring how both attackers and defenders are increasingly relying on the same technology. Meta removed more than 159 million scam ads in 2025 and is expanding AI tools to detect impersonation and warn users.

Online scams are growing rapidly, in part because generative AI has lowered the barrier to entry. AI can be used not only to produce realistic phishing emails but also to clone voices and deepfake videos that impersonate executives, public figures and even family members.

The agreement is voluntary and doesn’t create new legal obligations, but it comes after regulators’ increased pressure on tech platforms to address fraud more aggressively. The companies say they will begin building frameworks for reporting and intelligence-sharing, though it’s not yet clear how quickly those systems will be deployed or how effective they will be in practice.





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