At the UN Global Fraud Summit in Vienna on Monday, March 16th, Google, Amazon, Microsoft, and other tech, digital, and retail companies and heavyweights and giants signed the Industry Accord Against Online Scams & Fraud in a significant cooperative effort.
The agreement signed during the UN Global Fraud Summit in Vienna, the firms have committed to cooperating and exchanging intelligence regarding the misuse of the services by bad actors as part of the agreement. In addition, the signatories will pool resources and utilize their skills to coordinate defenses against fraudsters and scammers.
The emergence of sophisticated, AI-driven criminal networks that carry out international fraud operations is the direct cause of this partnership.
The important partners and goals with a wide number of industrial participants are included in the accord, including Adobe, Google, LinkedIn, Meta, Microsoft, OpenAI, Pinterest, and Match Group, which are examples of technology and social media. Target, Levi Strauss & Co., and Amazon are retail and consumer brands.
The “Industry Accord Against Online Scams and Fraud” was signed by the businesses on Monday. Adobe, Amazon, Levi Strauss & Co., LinkedIn, Match Group, Meta, Microsoft, OpenAI, Pinterest, and Target are all included as signatories in the document.
“The Accord lands at a critical moment when online scams are evolving beyond isolated incidents,” Google stated in a blog post. People are dealing with complex, international, well-organized criminal networks that are seriously harming their financial and psychological well-being.
According to the document, online scams cost customers an estimated $442 billion in 2025. The corporations agreed with the accord that “a safer online consumer experience is a shared responsibility requiring a collective response across the entire ecosystem” rather than combating organized crime initiatives independently.
In addition to bolstering the security of their online services, the businesses will collaborate with governments, law enforcement, non-governmental organizations, and others in the fight against cybercriminals. The signatories pledged to strengthen law enforcement’s ability and resources to combat criminal organizations and to support the application of all relevant laws.
Four objectives are mentioned in the Accord. The first step is to create and put into practice proactive measures to stop scams, such as security features, AI-powered detection systems, and more. In order to detect financial fraud, safeguard customers, and enhance knowledge of scams, countermeasures, and changing threats, cooperation and collective learning will be the second focus.
The third objective is to facilitate the implementation of defensive technologies and secure digital transformation, as well as to enable prompt and appropriate reactions to adversarial changes and scam occurrences. Public awareness is the ultimate objective, and the signatories will work together to educate the public about frauds, digital literacy, and ways that people can defend themselves against scam attempts.
The principal projects of the alliance and several strategic initiatives have been committed to by the participating companies, which includes
- Threat Intelligence Sharing: Combining resources to exchange up-to-date information on new fraud schemes and criminal networks.
- AI-Driven Defenses: Making use of artificial intelligence to identify and stop scams before they affect customers.
- Global Signal Exchange: Beginning in 2026, members will coordinate cross-border defenses with law enforcement by exchanging information.
- Standardized Playbooks: Public policy frameworks, data exchange guidelines, and private sector legal authority referrals.
The background of the situation is that this collaboration comes after warnings from groups like the World Economic Forum and the Global Anti-Scam Alliance (GASA) that generative AI is automating deceit and impersonation, making scams more difficult to identify. As an illustration of the enormous scope of the issue, Interpol’s “Operation Red Card 2.0” in early 2026 destroyed networks connected to losses totaling more than $45 million worldwide.