Wallet Payments and the Role of Intent<\/p>\n
The pressure on identity systems has intensified as consumers conduct a growing share of transactions through digital wallets. These payments environments frequently combine biometric authentication with device-based security measures, creating a layered model that depends on recognizing the user as well as the device used to initiate a purchase.<\/p>\n
\u201cAs it relates to payments, a lot of consumers are using their digital wallets, and the authorization is coming from a combination of biometrics and device authentication,\u201d Hurtubise said. \u201cTokens that are assigned for Apple Pay<\/a> wallets, for example, require authorization that recognize your face.\u201d<\/p>\n Advertisement: Scroll to Continue<\/p>\n That structure works effectively when the biometric signal reflects a real person. However, as generative tools advance, the possibility that artificial agents could imitate facial recognition or other identity indicators becomes more plausible.<\/p>\n For that reason, Hurtubise said financial institutions are beginning to analyze the purpose and consistency of an interaction rather than relying solely on traditional identity signals.<\/p>\n \u201cAt FIS, we\u2019re looking to create a user journey and follow intention more holistically, end to end, as we start to think about fraud,\u201d she said.<\/p>\n Tracking intention across an entire transaction sequence allows institutions to evaluate whether activity fits the behavioral patterns of a genuine consumer.<\/p>\n Identity Checks Are Evolving<\/p>\n Historically, many security controls attempted to determine whether an interaction originated from a human user or from automated software. This distinction is becoming less useful as advanced software agents acquire the ability to replicate typical human behaviors, Hurtubise said.<\/p>\n \u201cChecks have been centered around determining if activity is machine-driven or human-driven,\u201d she said. \u201cThat paradigm is shifting as agents are able to replicate human activities.\u201d<\/p>\n Automated programs can now solve tasks that once served as proof of humanity. Hurtubise cited CAPTCHA challenges as one example of a verification method that no longer provides the assurance it once did.<\/p>\n The emergence of agent-driven commerce introduces an additional complication. Artificial assistants may increasingly perform transactions on behalf of customers, which means payments systems must determine whether the agent is acting with legitimate authority.<\/p>\n That shift introduces the need to authenticate not only the consumer but also the digital intermediary conducting the transaction.<\/p>\n ![\"Preferred](\"https:\/\/www.pymnts.com\/wp-content\/uploads\/2026\/02\/Google-PYMNTS-blackbox.svg\")
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