Real-time payments are significantly more efficient for fraudsters because account-to-account (A2A) transfers settle in seconds, whereas common credit transfers typically take one or more days to process.
Fraud orchestration platforms for account-to-account payments include companies like Vyntra, LexisNexis Risk Solutions, Feedzai, and Sardine.
This speed eliminates the window that banks traditionally used to catch fraudulent activity before funds left the institution. Because faster payments expose the customer account directly without the chargeback protections found in card networks, banks need an orchestration layer like Vyntra to manage the complex detection and response requirements of modern A2A rails.
How a fraud orchestration platform can help
Banks face unique challenges with A2A payments because they often involve social engineering and authorized push payment (APP) scams rather than simple account takeovers.
These schemes turn the bank’s own customers into the vector for fraud. Once a victim falls for a scam, they become fragile and are often prone to falling for follow up scams until their account is completely drained.
Orchestration platforms address these challenges by unifying multiple data signals. While some fraud losses go unnoticed in a bank, media attention frequently acts as a trigger for institutions to seek better protection.
Faster payments effectively bring card-like challenges directly to the bank account, exposing the customer to new risks. An orchestration platform manages the following capabilities:
- Identity verification and device fingerprinting. This step ensures the person initiating the payment is the legitimate account holder and identifies risky devices or emulators.
- Behavioural biometrics. Advanced platforms analyze patterns such as typing speed and phone angle to detect signs of stress or coercion during a transaction.
- Real-time transaction risk scoring. Every payment is analyzed against a baseline of normal behavior to spot deviations in volume or value.
- Mule account and inbound confirmation checks. Orchestration layers help identify the receiving end of a transfer, flagging known money mule networks or unusual inbound activity.
“Real time payments are way more efficient for fraudsters because for the account to account payments… common credit transfers would take one day or more to settle.” – Loris Certo, Payment Expert at Vyntra
What to look for in a platform
When evaluating a fraud orchestration platform, financial institutions should prioritize speed and integration breadth.
A platform that slows down processing by even a few seconds can break the user experience and lead to regulatory breaches in markets with strict settlement timeframes.
- Works quickly. The system must be designed for real-time design, offering machine learning and AI capabilities that resolve in milliseconds.
- No-code workflow builder. Compliance teams should be able to edit detection scenarios and create new logic without waiting for internal IT engineering sprints.
- Strong case management. Real-time alerts should be routed to the appropriate teams with full business context so they can make informed decisions.
- Integrate into your current workflow. The platform should be non-intrusive, sitting on top of existing infrastructure without requiring a full system overhaul.
- Uses pre-built AI models. Access to models that already understand A2A specific patterns, such as beneficiary rotation, helps achieve a faster return on investment.
- Integrate with identity verification. The ability to pull in KYC and KYB data ensures a 360 degree view of the customer across all payment rails.
Fraud orchestration platforms
Vyntra
Since we’re the ones writing the article, we’ll start by explaining first what we do.
Vyntra provides a specialized payment fraud prevention solution that integrates directly into the transaction flow. It uses 3D AI risk models to accurately detect suspicious behaviors and monitor large volumes of transactions in real time. The platform is designed to minimize friction by focusing on business activity monitoring rather than just technical system health.
- Multi-layer detection. It combines transactional data, network risk scores, device signals, and shared community intelligence (CSNI) to find hidden patterns.
- Historical analysis. The engine sees beyond single transactions by analyzing payment velocity, new beneficiaries, and rotation patterns typical of coordinated attacks.
- Advanced case management. Alerts are contextualized using Evidence Cards and explainable AI, allowing teams to understand why a payment was flagged immediately.
- Flexible deployment. The platform can sit on top of any existing core banking or payment engine, deploying in the cloud or on-premise without distracting from core operations.
LexisNexis Risk Solutions
LexisNexis Risk Solutions focuses on leveraging a massive global database of identity and device intelligence. Their platform is built around the ThreatMetrix technology, which excels at recognizing legitimate users and spotting digital anomalies across the entire customer journey.
Core strengths:
- Extensive global identity network.
- High-fidelity device identification.
- Dynamic decisioning engine.
LexisNexis is best for large global institutions that need to verify identity and assess risk based on trillions of digital transactions.
Feedzai
Feedzai is an AI-native financial crime platform designed to protect every transaction from onboarding to settlement. They utilize advanced machine learning to automate the analysis of complex data sets, reducing the burden on manual review teams.
Core strengths:
- High performance AI models for real-time scoring.
- Unified platform for fraud and AML.
- Automated alert reviews and investigation workflows.
Feedzai is best for fintechs and banks that require heavy automation and high-throughput transaction processing.
Sardine
Sardine emphasizes an agentic financial crime platform that unifies fraud prevention and compliance. They offer proprietary device and behavioral signals that are particularly effective at identifying social engineering in mobile and web banking environments.
Core strengths:
- Real-time bank transaction monitoring across ACH, Wire, and Zelle.
- Deep behavior biometrics.
- Built-in bank account ownership validation.
Sardine is best for neobanks and faster payment providers that need rapid onboarding combined with aggressive fraud defense.
The right orchestration platform keeps you on par with fraudsters
Modern A2A payments require an orchestration platform that combines behavioral biometrics, real-time risk scoring, and automated case management to stay ahead of sophisticated social engineering attacks.
FAQs
What is the difference between fraud orchestration and traditional monitoring?
Traditional monitoring often focuses on technical system health or simple rule-based checks on single transactions. Fraud orchestration unifies multiple data sources like device IDs, behavior, and network intelligence into a single automated workflow that manages the entire lifecycle of a fraud alert.
How does orchestration help reduce false positives?
Orchestration platforms use machine learning to establish a baseline of normal customer behavior. By analyzing hundreds of parameters simultaneously rather than relying on static rules, the system can more accurately distinguish between an unusual but legitimate payment and a genuine fraud attempt.
Can an orchestration platform work with existing core banking systems?
Yes. Most modern platforms are designed to be non-intrusive. They sit as a layer on top of your existing infrastructure, receiving a copy of transaction messages rather than requiring a complete replacement of your payment execution engine.
Why is behavioral profiling important for account-to-account fraud?
Since many A2A frauds are authorized by the legitimate user who has been scammed, the transaction itself may look normal. Behavioral profiling identifies subtle signs like hesitation, unusual typing speed, or even how a user holds their device, which can signal that they are being coached by a fraudster.
Sources
- https://www.feedzai.com/
- https://www.feedzai.com/riskops/
- https://paymentsandrisk.com/docs/fraud/vendors/landscape/
- https://risk.lexisnexis.com/global/en/products/threatmetrix
- https://feedzai.com/platform/
- https://www.sardine.ai/platform
