Instant means irreversible.
Your fraud check has seconds.

An instant payment settles and clears before a human could ever look at it, and once the money lands, it cannot be recalled. That leaves no room for the hold-and-review controls built for slower payment rails. Vyntra scores every instant payment inside the execution window, stopping fraud in real time without slowing the payment down.
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Real-Time Payments Scoring
Real-time
<10
seconds
The entire fraud decision fits here
Regulation caps end-to-end execution at ten seconds. Detection has to be immediate, or it does not happen at all.
Holistic profiling
Payment scored against behavior and history
18 ms
Pattern-based intelligence
Micro-payment surge check for smurfing
21 ms
Verdict returned
Approve or reject decision
100 ms
Decision in
100 ms · well inside the window
Approve

Jurisdictions now have access to fast payment systems

0 +
Source: BIS, 2025

Jurisdictions now have access to fast payment systems

0 x
Source: BIS, 2025

Jurisdictions now have access to fast payment systems

+ 0 %
Source: BIS, 2025

The core challenge

Speed removed the one thing fraud teams relied on

Every control built for traditional credit transfers assumed a cushion of time. A suspicious payment could be held, queued, and reviewed before settlement. Instant payments took that cushion away. The payment either clears in seconds or it is rejected, and once funds reach the beneficiary they cash out and disappear. Regulation is pushing volumes up sharply while capping execution time, so the fraud decision has to be made in milliseconds, on every payment, without adding friction that a customer would feel.

Authorised Push Payment & scams

The customer is manipulated into authorizing the transfer themselves, so identity and device checks pass clean. This is authorized push payment (APP) fraud, driven by social engineering: the victim is coached, pressured or deceived into paying. On an instant rail, the funds are gone before anyone reconsiders. The signal is in the payment: a fresh beneficiary, an out-of-character amount, and a sequence that does not fit the customer.

How Vyntra detects it

  • Holistic AI profiling flags payments to beneficiaries outside the customer's established history and risk profile
  • Behavioral context at initiation, including an active call or remote-control session, raises the score
  • Real-time scoring returns an approve or reject verdict inside the execution window

Account takeover & hybrid attacks

A criminal takes control of the account through phishing, malware, or a remote-access tool and pushes funds out over the instant rail. Session hijacking and impersonation blur the line between the real customer and the attacker, and the speed of settlement leaves no window to intervene manually.

How Vyntra detects it

  • Session and device signals, including behavioral biometrics, combine with transactional profiling to separate the genuine customer from an impostor
  • Sudden changes in payment behavior after login are scored against the customer's normal pattern
  • Optional digital signals detect remote-access and hijacked-session indicators at the moment of payment

Smurfing & micro-transaction structuring

Instant settlement makes structuring far more attractive. Instead of one large transfer, criminals drain an account through a burst of small payments that each slip under static rule thresholds. On a slower rail, the pattern would surface in review. Here it must be caught as it forms, which is why real-time transaction monitoring matters as much as one-off checks.

How Vyntra detects it

  • Pattern-based intelligence detects sudden spikes in small-payment activity that indicate account draining
  • Cumulative exposure is tracked across the burst rather than judged one payment at a time
  • Automated remediation blocks the pattern in real time and raises a case for the fraud analyst

Scoring speed under adoption pressure

Instant payment volumes are climbing fast and unpredictably, and they share infrastructure with slower rails that have very different timing needs. If instant scoring is not isolated by design, a volume surge can push the fraud check past the execution deadline, forcing banks and fintechs to choose between speed and safety.

How Vyntra detects it

  • Guaranteed throughput per scoring lane isolates instant payments from batch and standard transfers
  • A parametrable case treatment rate adapts to an uncertain adoption curve without re-architecting
  • A dedicated dashboard tracks instant volumes, rejections, and adoption trends for fraud operations

How IT WORKS

Faster payments, built for a real-time world.

How we deliver it

Precise fraud prevention, built for the clock.

Real-time analytics, dedicated instant-payment architecture, and fraud management tuned to an approve-or-reject world. These fraud defenses are available as SaaS or an on-premises add-on, as a bundled solution or alongside your existing security measures, so risk mitigation fits your stack rather than replacing it.

Real-time by design

A dedicated architecture guarantees the response time and throughput instant payments demand, scoring each transaction in milliseconds so the fraud check fits inside the execution window and compliance is met by design.

AI that adapts

Holistic profiling and pattern-based intelligence evolve with new fraud techniques. Active sampling feeds a diverse set of rejected payments back for expert review, keeping models accurate while minimizing analyst workload. The same real-time engine supports AML controls and sanction screening alongside fraud, so financial-crime signals are scored together rather than in separate silos.

Full control over KPIs

A dedicated dashboard gives fraud operations real-time insight into instant-payment volumes, rejection rates, and adoption trends, broken out from other payment types, with the drill-down and export needed to act fast.

Proven in production

Fast enough to stay invisible

average scoring response time, comfortably inside the execution window

0 ms

transactions per second sustained throughput per scoring lane

0 +

individuals protected worldwide across live deployments

0 M

Billions

of transactions monitored in real time every year

GET IN TOUCH

Score every instant payment
before it settles.

See how Vyntra stops APP fraud, account takeover, and smurfing on instant rails, in real time and without slowing the payment down.
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FAQs​

What is APP fraud and how does social engineering enable it?

Authorized push payment fraud (APP) is when a customer is tricked into sending money themselves, so the payment passes normal identity and device checks. It is almost always powered by social engineering: impersonation, urgency, or a coached phone call that convinces the victim the payment is legitimate. Because the customer authorizes it, traditional security measures built to detect account compromise often miss it, which is why behavioral and payment-pattern signals matter.

Effective detection combines real-time transaction monitoring with behavioral signals such as behavioral biometrics, device intelligence, and profiling of each customer’s normal payment pattern. Scoring every payment as it happens, rather than sampling after settlement, is what lets fraud defenses approve or reject inside the execution window and supports risk mitigation without adding friction customers would feel.

Fraud, AML and sanction screening all draw on the same real-time payment data, so leading institutions score them together. Checking out a payment for fraud, money-laundering patterns and sanctioned parties in one pass keeps latency low enough for instant rails, which matters especially for cross-border payments where several regimes apply at once. Treating them as one financial-crime decision, rather than three separate checks, is increasingly how banks and fintechs keep pace with instant settlement.