Some of the world’s largest technology and retail companies are joining forces to fight the increasingly sophisticated networks behind online scams. Google, Meta, Microsoft, Amazon, OpenAI and several other major brands have signed a shared industry agreement intended to improve fraud detection, accelerate threat-intelligence sharing and make it more difficult for scammers to move between digital platforms.
The initiative is known as the Industry Accord Against Online Scams and Fraud. It was introduced around the United Nations Global Fraud Summit held in Vienna on March 16 and 17, 2026, where governments, law-enforcement agencies, technology providers and consumer-protection groups met to discuss the growing international fraud economy.
The partnership could represent an important change in how large companies respond to scams. Instead of treating suspicious activity on each platform as an isolated problem, participating businesses are promising to coordinate their defenses against criminal operations that use social media, messaging services, online marketplaces, dating applications, payment platforms and artificial intelligence tools together.
Eleven Major Companies Have Signed the Anti-Scam Accord
The founding participants include Google, Microsoft, LinkedIn, Meta, Amazon, OpenAI, Adobe, Pinterest, Target, Levi Strauss & Co. and Match Group, which owns dating platforms including Tinder and Hinge. The complete group brings together social networks, AI developers, retailers, workplace platforms, advertising services, marketplaces and dating applications.
That variety is important because modern scams rarely begin and end within a single service. A criminal may publish a fraudulent advertisement on one platform, contact the victim through another, establish trust on a messaging application and eventually direct the person toward a fake payment or investment website.
As reported in Engadget’s coverage of the anti-scam partnership, the accord is designed to establish a united industry response to sophisticated criminal networks that exploit several services during the same fraud operation.
Cross-platform cooperation could allow companies to recognize these wider patterns. A suspicious account removed from one service may be connected to advertisements, email addresses, phone numbers, payment details or profiles appearing elsewhere. Sharing those signals could help another company intervene before the same operation reaches additional victims.
The Agreement Focuses on Four Main Areas
The accord organizes its goals around prevention, cooperation, resilience and public awareness. Participating companies have committed to developing stronger technical protections, improving fraud-detection systems and enforcing policies that prohibit scams across their products and services.
The companies also intend to share information lawfully with industry partners and law-enforcement agencies. This cooperation is expected to improve the identification of transnational fraud networks while helping companies understand how scam techniques are changing.
According to the full agreement published through LinkedIn’s Industry Accord announcement, signatories will also support secure digital development, deploy AI-based defensive technologies and educate consumers about the methods criminals use to manipulate victims.
The initiative recognizes that platform security alone cannot eliminate fraud. Governments, financial institutions, telecommunications providers, law enforcement and consumer organizations must also participate because scammers use infrastructure and services from several different industries.
Companies Plan to Share Scam Intelligence More Quickly
Threat-intelligence sharing is one of the partnership’s most important commitments. Companies frequently identify suspicious websites, accounts, advertisements, phone numbers and payment patterns through their individual investigations. However, those findings may remain inside one organization even when the same criminal network is active elsewhere.
Under the accord, participating companies are expected to exchange information about scam infrastructure, emerging techniques and effective defensive measures. Faster communication could help platforms remove connected accounts, block malicious links and warn users before a fraud campaign spreads further.
Google said it plans to expand its participation in the Global Signal Exchange, a system designed to support the sharing of online-abuse signals. The company will also provide additional technical expertise and AI-driven capabilities while working with law enforcement and international partners. Google has previously committed $15 million to related anti-scam initiatives.
The company outlined those plans in its official Industry Accord Against Online Scams and Fraud announcement, stating that coordinated defenses are necessary because consumers increasingly face organized international criminal networks rather than isolated individual scammers.
Artificial Intelligence Will Be Used on Both Sides
Artificial intelligence has become a central part of the online fraud problem. Scammers can use generative AI to write convincing messages, translate conversations, create fake identities and produce realistic images, videos or audio recordings. These capabilities can make phishing messages, romance scams, investment schemes and impersonation attacks appear more credible.
The participating companies intend to use AI defensively as well. Automated systems can analyze large numbers of accounts, transactions, advertisements and messages to identify patterns that might be difficult for human investigators to detect quickly.
An AI-based security system may notice that several newly created accounts are using similar language, directing users toward related websites or operating through the same infrastructure. When these indicators are combined across platforms, companies may be able to identify a coordinated criminal operation earlier.
However, automated detection must be handled carefully. Legitimate users could be incorrectly flagged when systems rely too heavily on broad behavioral patterns. Effective scam prevention will therefore require strong appeal processes, proportional verification requirements and continued human review.
Stronger Verification Could Affect Financial Transactions
The accord also supports risk-based verification and stronger authentication for services that enable financial transactions. Higher-friction security measures may be introduced when a user attempts to transfer money, purchase financial assets or perform another action carrying a substantial fraud risk.
This does not necessarily mean every online interaction will require identity verification. The agreement states that verification should be proportionate and designed to reduce fraud without creating unnecessary problems for legitimate users. Financial actions are expected to receive stronger protection than ordinary communication or social activity.
Such measures could include additional identity checks, confirmation warnings, payment delays or alerts when a transaction shows characteristics commonly associated with scams. These controls may inconvenience some users, but they can also create a valuable moment for someone to reconsider a suspicious payment.
Retailers and Dating Platforms Bring Important Evidence
The inclusion of retailers and dating companies reflects the wide range of environments exploited by scammers. Criminals frequently impersonate trusted brands through fake emails, advertisements, customer-support accounts and websites. Gift cards and fraudulent purchases may also be used to transfer money or hide criminal proceeds.
Dating platforms face a different challenge. Romance and investment scammers may spend weeks building trust before asking a victim to send money or join a fraudulent trading service. Information from dating apps could therefore help other companies recognize accounts and infrastructure linked to longer-term manipulation campaigns.
Amazon said the agreement will formalize intelligence sharing across industries and borders while supporting AI-powered protection, cooperation with law enforcement and public education. The retailer reported initiating takedowns of more than 70,000 phishing websites and 14,000 phone numbers connected to impersonation schemes during 2025.
In its Global Fraud Summit partnership announcement, Amazon argued that fraud prevention requires cooperation between companies, governments and civil society because criminal networks take advantage of gaps between different services and jurisdictions.
The Accord Is Voluntary and Has No Enforcement Penalties
Despite its ambitious language, the agreement has an important limitation: participation is voluntary. The accord does not establish fines or other direct penalties when a company fails to meet its commitments.
This means the initiative’s value will depend on measurable action. Companies will need to demonstrate that they are sharing useful intelligence, introducing effective protections, responding quickly to reports and coordinating meaningful disruptions against criminal infrastructure.
Critics may reasonably question whether a voluntary pledge will produce enough change, especially when platforms already face pressure over fraudulent advertisements, impersonation accounts and slow reporting systems. The lack of mandatory targets could allow individual participants to interpret the commitments differently.
However, the accord may still create a common framework for collaboration. Companies were already exchanging information during individual investigations, but the agreement gives them a broader structure for sharing successful defenses and responding to evolving tactics.
Cross-Industry Cooperation Could Make Scams Harder to Scale
The new alliance will not eliminate online fraud immediately. Scammers can change identities, move between countries and rebuild infrastructure quickly after accounts or websites are removed.
The agreement could nevertheless make large-scale operations more difficult. When one platform identifies a criminal network and alerts several partners, scammers may lose access to multiple services before they have time to replace them. Coordinated action could also provide law enforcement with stronger evidence connecting digital accounts, payment activity and infrastructure.
The real test will be whether the companies convert their promises into visible improvements for users. Faster reporting, clearer warnings, stronger verification and coordinated account removals would indicate that the partnership is producing practical results.
Online scams have developed into a global organized-crime problem that no single platform can solve independently. By combining technical capabilities, threat intelligence and access to billions of users, the participating companies have created an opportunity to build a more coordinated defense. Whether that opportunity delivers meaningful protection will depend on sustained cooperation, transparency and accountability long after the announcement itself has passed.
