X9’s New Payment Fraud Forum Takes Aim at Fragmented Fraud Data
- X9’s new Payment Fraud Forum aims to create a common language for identifying, categorizing, and sharing fraud data across payment types.
- Fraudsters operate across payment rails, making fragmented data and inconsistent terminology a major industry challenge.
- Stronger fraud prevention will require shared intelligence, industry collaboration, and layered omnichannel controls.
The payments industry has invested heavily in speed, convenience, and interoperability. But fraud intelligence has not always kept pace. Banks, payment networks, technology providers, and corporate finance teams may encounter different pieces of the same attack, yet inconsistent definitions and reporting practices can make those signals difficult to connect.
That challenge is the focus of the Accredited Standards Committee X9’s new Payment Fraud Forum. As reported by PYMNTS(opens in new tab), the forum is bringing together organizations across the payments ecosystem to develop common approaches for identifying, categorizing, reporting, and sharing fraud across payment types.
The objective is larger than creating another fraud working group. It is about making fraud intelligence more interoperable so that information learned by one institution can help another recognize risk before the next payment is completed. For financial institutions, that shift could strengthen detection, investigation, and prevention across an increasingly connected payments environment.
Omnichannel Controls Need Shared Intelligence
Fraudsters are not organized around the same boundaries as payment systems. An attack may begin with a compromised business email account, lead to a fraudulent supplier instruction, trigger an authorized ACH or wire transfer, and move through multiple institutions before the full pattern becomes visible. Each participant may see a legitimate-looking portion of the activity, while no single organization sees the entire sequence. This is one reason payment fraud has become a data interoperability problem as much as a detection problem.
The terminology used to describe an incident also matters. A single event might involve business email compromise, account takeover, vendor impersonation, or authorized push-payment fraud. If organizations classify that event differently, aggregating the data becomes more difficult. Common definitions will not eliminate the need for institution-specific fraud engines, but they can help systems interpret shared signals consistently and turn isolated observations into broader intelligence.
X9’s work builds on an earlier check-focused effort. In February 2025, the X9 Board of Directors established the Check Fraud Industry Forum as an open roundtable for users of check-related standards and technical reports, including TR 8, Check Security. The forum created a place for industry participants to discuss check fraud trends, prevention techniques, and the effectiveness of existing standards. As described in recent post of the X9 report and forum(opens in new tab), the group later expanded its focus toward a broader Payment Fraud Forum, building on a foundation of more than 100 participants.
That broader view is important because check fraud remains part of a larger, omnichannel risk environment. A financial institution may need to evaluate a check image, account behavior, deposit channel, payee information, and transaction context together. OrboGraph’s discussion of modernizing omnichannel check fraud detection(opens in new tab) reflects this principle: effective protection requires layered controls that can address counterfeit checks, forgeries, alterations, and other risks across the channels where payment activity occurs. Shared industry language can complement those controls by helping organizations exchange more consistent information about emerging patterns and confirmed fraud.
Making Data Interoperable Across All Systems
The Payment Fraud Forum represents a practical step toward a more connected fraud-defense model. Its work could help banks, networks, service providers, technology vendors, and corporate finance teams describe risk in ways that are easier to compare, analyze, and act on. That is especially valuable as payments become faster and fraud schemes become more distributed.
Payments have spent decades making money move efficiently between participants. The next stage is making risk intelligence move with the same consistency. This will also require that fraud and payment solutions to create data that is interoperable -- a strength of AI-powered systems like OrboAnywhere. Anywhere On-us Fraud and Anywhere Deposit Fraud creates risks scores for each check transaction, which can not only flag an item, but also create data to be used by other systems -- connecting check payments and check fraud detection with the entire payments ecosystem.
A common fraud language will not replace strong technology or experienced investigators, but it can help those resources work together—across institutions, across channels, and across the payment ecosystem.