Big Tech signs Industry Accord Against Online Scams

Tech Giants Unite to Take Down Scammers in Historic Cross-Platform Pact

In a rare display of industry unity, 11 of the world’s most influential tech and retail giants have joined forces in a bold new agreement to combat the rising tide of online scams and AI-powered fraud. The landmark Industry Accord Against Online Scams and Fraud was unveiled at the United Nations Global Fraud Summit in Vienna, signaling a new era of cross-platform collaboration in the fight against digital deception.

At the heart of the accord is an urgent admission: scammers are now outpacing tech companies in coordination, sophistication, and scale. From AI-generated deepfake videos impersonating celebrities to investment scams dressed up as legitimate financial services, the threat landscape is evolving faster than any single platform can keep up with. That’s why companies like Google, Meta, Amazon, Microsoft, OpenAI, Adobe, LinkedIn, Pinterest, Match Group, Levi Strauss, and Target have agreed to share real-time threat intelligence and pool their defenses.

The initiative hinges on Google’s Global Signal Exchange, a cutting-edge data-sharing infrastructure that aggregates scam-related signals—fraudulent URLs, impersonation patterns, and synthetic media—across platforms. By feeding into and drawing from this exchange, each company gains a panoramic view of scam operations that would be invisible in isolation. This is not just about spotting bad actors; it’s about predicting their next move before they strike.

One of the most striking aspects of the accord is its recognition that scamming is no longer confined to the digital realm. The inclusion of Levi Strauss and Target highlights how scammers exploit trusted brand identities across e-commerce, social media, and even email phishing campaigns. These companies may not operate social platforms, but they are prime targets for impersonation, and their participation adds critical breadth to the intelligence network.

Google.org has backed the initiative with $15 million in funding, aimed at accelerating the development and deployment of AI-driven detection tools. These tools will focus on high-impact scam vectors, including celebrity impersonation fraud, investment scams, and deceptive links mimicking banking portals. The goal is not only to react faster but to build predictive models that can identify scam patterns before they reach users.

However, the success of the accord will depend on two critical factors: the speed at which the Global Signal Exchange amasses actionable data, and the willingness of signatories to share sensitive threat information that could expose vulnerabilities. In an industry where competitive secrecy often trumps cooperation, this is a significant cultural shift.

Notably absent from the list of signatories are Apple and TikTok—two platforms with massive user bases and significant scam traffic. Their absence

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