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Mastercard launched Stablecoin Security on October 19 at Money20/20 USA, an API-based tool that combines traditional payment intelligence with blockchain analytics to screen stablecoin transactions for fraud, scams, and sanctions risks before funds move on-chain. The service will launch first in North America, with a global commercial rollout targeted for 2027.
Mastercard is expanding its blockchain security services with a new tool designed to help financial institutions identify fraud, scams and sanctions risks in stablecoin transactions before payments are completed.
Announced on October 19 at Money20/20 USA, Mastercard Stablecoin Security combines conventional payment intelligence with blockchain analytics to assess transaction risks before funds move across blockchain networks. The service generates risk scores that banks and payment providers can use to decide whether to approve a transaction or send it for further investigation.
Borderless.xyz and Keyrails are the first partners named for the service, which will initially launch in North America before a planned global commercial rollout in 2027.
The initiative comes as stablecoins gain traction in cross-border payments and institutional settlement, creating new demands for transaction monitoring across traditional financial systems and blockchain networks. Mastercard also plans to expand the service through BVNK, the stablecoin infrastructure provider it acquired in August 2026.
The new service operates through an application programming interface (API) that financial institutions can connect to their existing payment and compliance systems.
It analyzes transaction details, the origin of funds, potential exposure to sanctioned entities and indicators associated with scams or other financial crimes. By combining conventional payment information with blockchain activity, the system aims to help institutions assess risks before a payment is initiated and as funds move through subsequent transactions.
Banks can incorporate the resulting risk assessments into their existing fraud detection, compliance and case management workflows rather than building separate monitoring systems for stablecoin payments.
The approach is particularly relevant to international transactions involving multiple financial institutions, currency conversions and blockchain transfers. For example, a bank arranging a cross-border supplier payment could screen the transaction before sending stablecoins to a recipient in another country. If the system identifies potential fraud or sanctions exposure, the institution can review the payment before allowing it to proceed.
Ann Johnson, Mastercard’s executive vice president of Security Solutions, said financial institutions need stronger intelligence and controls as stablecoins become part of international payment infrastructure.
The company has not yet disclosed the service’s pricing, the blockchain networks it will support or a specific date for its worldwide launch beyond the 2027 target.
Mastercard cited research examining 593 million stablecoin transfer events across 141 million Ethereum transactions in 2025 to illustrate the challenges involved in monitoring blockchain-based payments.
According to the company, nearly 60% of the transfers examined involved complex, multistep transactions rather than straightforward transfers between two parties.
Such arrangements can involve intermediary wallets and multiple transactions, making it harder for financial institutions to follow the complete movement of funds and assess the risks associated with each participant.
Mastercard’s new service is designed to combine information from traditional payment systems with blockchain analytics to provide a broader view of these transactions. By assessing both the circumstances surrounding a payment and the blockchain addresses or entities involved, the system aims to help institutions identify potential risks across more complicated payment flows.
The offering builds on Mastercard’s existing digital asset security infrastructure. Its Crypto Secure product supports risk assessments involving cryptocurrency transactions, while Mastercard Crypto Credential focuses on identity assurance and compliance information for digital asset transfers.
The distinction is important: identity verification can help establish who is participating in a transaction, while Stablecoin Security is designed to assess whether the transaction itself presents potential financial crime risks.
Mastercard has not disclosed how many financial institutions will participate in the initial deployment or provided specific commercial launch dates for either partner.
The planned integration with BVNK forms part of Mastercard’s broader effort to connect traditional payment infrastructure with blockchain-based financial services.
Mastercard completed its acquisition of BVNK on August 3, 2026, in a deal valued at up to $1.8 billion. BVNK provides infrastructure that connects conventional currencies with blockchain networks for payments, settlement, payouts and treasury operations.
The acquisition gives Mastercard additional capabilities for processing stablecoin transfers and facilitating conversions between digital assets and traditional currencies.
On October 16, Mastercard introduced its Global Money Platform with BVNK, allowing banks, fintech companies and businesses to manage fiat accounts, stablecoin payments and currency conversions through a single API.
Nuvei, Marqeta, Ontop, Beem and Almond FinTech were among the companies preparing to integrate the platform. Through its connection with Mastercard Move, the service is expected to support local bank payouts across more than 200 countries and territories and over 40 currencies in 2027.
Mastercard has said BVNK will also support the expansion of Stablecoin Security during 2027, although it has not specified which markets or services will receive the integration first.
The combination of payment infrastructure and transaction screening could help Mastercard offer institutions a more integrated framework for moving stablecoins while managing compliance and financial crime risks.
The Stablecoin Security announcement follows Mastercard’s broader work on payment safeguards, including security tools for its Agent Pay platform, which supports transactions initiated by artificial intelligence agents.
In a separate interview published on October 19, Johnson said Mastercard was drawing on its experience in conventional payment fraud to develop security capabilities for stablecoins and automated commerce.
The company processes approximately 175 billion transactions annually, according to Johnson, giving it information about fraud patterns across markets, merchants and financial institutions. Mastercard also uses intelligence from Recorded Future, the cybersecurity company it acquired, alongside payment data to identify potential threats.
Johnson identified cross-border payments as a prominent current use case for stablecoins, citing the potential for faster and more transparent international transfers.
AI-initiated payments present a different set of considerations. Mastercard expects card transactions to remain important as consumers continue to require fraud monitoring, payment protections and support when software agents make purchases on their behalf.
In June, the company introduced Agent Pay for Machines with support from more than 30 organizations, including Ripple, Coinbase and the Solana Foundation. The platform is designed to support automated transactions between software agents, including high-volume payments involving relatively small amounts.
Across these initiatives, Mastercard is pursuing a common objective: identifying potentially fraudulent activity before transactions are completed, whether the payments involve traditional currencies, stablecoins or AI-driven commerce.
Stablecoin Security will initially launch in North America, with global commercial availability targeted for 2027. Its broader significance will depend on how widely financial institutions adopt the service and how effectively it helps them monitor increasingly complex blockchain-based payment flows.
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