Adyen unifies payment authentication into one ML platform

Adyen's upgraded Authenticate module routes every transaction to the best verification method in real time, reporting double-digit conversion gains.

By Disrupts Editorial Team Thu, 1 October 2026 AI level 2 of 5

AI level 2 of 5: drafted by our AI editorial assistant from the company's announcement; fact-checked, edited and signed off by Mark Walker, Editorial Director. What the levels mean

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Adyen, the Amsterdam-listed payments platform, has launched a significant upgrade to its Authenticate product, consolidating multiple competing payment authentication standards into a single machine-learning-driven layer. The move is a direct response to what the company describes as a "fragmented ecosystem" of authentication protocols that forces merchants to maintain separate compliance and engineering stacks for each market they operate in.

The upgraded Authenticate is a module within Adyen's broader Uplift optimisation suite. On every transaction it makes three sequential decisions in real time: whether authentication is required at all, which protocol will yield the highest completion rate for that specific shopper, and which data fields to present to the card issuer to maximise approval likelihood. Early users report meaningful gains. Too Good To Go recorded an 11% relative increase in payment conversion during its pilot, while food-delivery platform Just Eat Takeaway.com reported a 12% uplift on eligible traffic.

One integration, multiple protocol standards

The most strategically significant element of the release is the network-level consolidation it represents. Adyen has brought Google Secure Payment Authentication (SPA), Mastercard Payment Passkeys, and Visa Payment Passkeys into a single integration alongside traditional 3D Secure (3DS) flows. Merchants adopting Authenticate absorb future authentication-standard updates automatically, without additional development work or the compliance overhead that has historically accompanied each new card-network specification.

The product's ML models have been trained on what Adyen describes as trillions of transactional interactions. Because Adyen operates simultaneously as authentication provider and acquirer, its models can learn from final authorisation outcomes rather than authentication results alone, a structural advantage over standalone 3DS vendors who see only part of the transaction journey. The system also assesses more than 150 data fields for 3DS transactions, continuously refining which combinations correlate with issuer approval.

"Authentication is evolving from a regulatory checkpoint into a trust layer for digital commerce," said Renan Renner, Group Product Manager for Adyen Uplift. "The future is not about choosing one protocol, but knowing when and how to use the right mechanism for each transaction."

The convergence play: payments meet AI infrastructure

For cross-sector observers, the Adyen release is less a payments story than an applied-AI infrastructure story with direct implications for retail, food delivery, and any commerce vertical where checkout abandonment drives material revenue leakage. The underlying architecture, in which a network-wide ML model arbitrates between competing authentication standards in milliseconds, is structurally comparable to the routing intelligence now being built into hyperscaler traffic management and AI inference optimisation. The difference is that Adyen's arbitration layer sits at the point where consumer trust, card-network regulation, and merchant economics converge.

The macro context matters here. Payments infrastructure is undergoing a quiet consolidation driven by the same forces reshaping AI tooling: merchants increasingly prefer a single, managed abstraction layer over a portfolio of best-of-breed point solutions, each requiring its own integration and compliance maintenance. Adyen's ability to bundle Google, Mastercard, and Visa protocols into one surface signals that the card networks themselves are accepting platform-layer aggregation as the new distribution model, a shift that has significant implications for the independent authentication vendors and fraud-management specialists that have historically occupied that space.

Investors tracking the broader "agentic commerce" theme, in which AI systems make real-time operational decisions on behalf of merchants, should note that Authenticate is an early production example of autonomous optimisation replacing manual rule-setting in financial workflows. With Authenticate live globally for 3DS and issuer optimisation as of today, and further enhancements targeting 2027, the question for the market is how quickly Adyen's rivals, including Stripe, Worldpay, and Checkout.com, respond with comparable unified authentication offerings.