Tech Against Scams, a coalition to fight “pig butchering” ploys with better industry coordination, launches with Meta, Coinbase, Match, Kraken, others on board
Context & Ripple Effects
The effort extends a cross-sector anti-scam playbook: Stop Scams UK’s planned intelligence-sharing pilot had already brought banks, telecoms and major internet platforms together around disrupting scammers’ tools.
Coinbase also arrives with experience in industry compliance coordination through the TRUST customer-data-sharing platform, making this a convergence of platform-safety and crypto-risk efforts rather than a standalone crypto initiative.
First-order effects
- Meta, Coinbase, Match, Kraken and other members gain a common vehicle to coordinate their response to pig-butchering schemes across the services scammers may use to find, cultivate and monetize victims.
- The coalition elevates pig butchering from an individual-platform moderation problem to a shared operational priority spanning social, dating and crypto services.
Second-order effects
- Cross-industry participation raises pressure on adjacent platforms and financial-service providers to demonstrate comparable coordination, rather than treating scam prevention as a proprietary trust-and-safety function.
- Members can identify where a scam campaign crosses service boundaries, which should sharpen incentives to align reporting, escalation and disruption processes even where each company retains its own controls.
Third-order effects
- If such coalitions produce repeatable sharing and response practices, anti-scam coordination could become part of the trust infrastructure expected of consumer platforms and crypto intermediaries.
- The pattern points toward safety accountability being assessed across an abuse chain—not only by whether a single platform removes bad accounts—though the coalition’s effectiveness will depend on execution beyond membership commitments.
The trend: Consumer platforms, financial intermediaries and crypto firms are increasingly treating coordinated fraud disruption as shared trust infrastructure rather than a company-by-company moderation task.