Payment Fraud

Close the gaps in your payment ecosystem

Champion a truly cohesive approach with enterprise-wide deployment that stops fraudsters exploiting the gaps in disconnected systems.

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Two panels showing financial account details: Beneficiary Account Details with fields including Account ID ACCT-FRN-1002570, Account Name RoryAir, Account Type Business, Branch Name blank, Routing Number 100000640, Sort Code 3570, IBAN IE31SFEO35042312966030, BIC 9999-761264, Account Age, Account Monitored No, and Account Exempted No. The Originator Details panel shows Name One Holiday, Address 399 Meadow Grove, City Dublin, State/Region Dublin, Zip/Postal Code D2, and Country Ireland. Blue buttons on the right say Recent Originator Payments, Recent Beneficiary Payments, Recent Alerts, and Recent Web Events.
Dashboard showing detection entity filters for Payments and Web Events with a horizontal bar chart listing scenarios by number of detections, including 'Web Event by Night' and others; a line graph of total transaction amount per day with credit and debit lines; and an overlaid pie chart showing debit (66.7%) and credit (33.3%) transaction proportions.

Spot the chinks in your armour

Access a centralized view that quickly identifies high exposure activity and vulnerable entry points that have remained hidden from siloed fraud teams.

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Web Event Summary showing event details: ID WEBEVE-20210711-141524-00000231, type Submit Payment, run date 11/07/2021 12:50:00, session ID 3FC89093223121263FD0EB42B021D685A, channel Online Business Banking, source system ExampleSourceSystem, authentication mode SECURE, user application language GB, proxy used No, user agent Mozilla/5.0 Windows NT 10.0 Chrome/42.0.2311.135, and organization unit Europe. Next to this is a bar chart labeled Web Event Type with categories Logout, Login, N/A, FinalExampleWebEventDesc, ExampleWebEventDesc, and Others, showing counts up to about 3000 with Others having the longest bar.

Rapidly deploy in 12 weeks

Seamlessly deploy enterprise-wide for multiple lines of business across complex organizational structures in just three months.

Two adjacent charts: Left chart lists scenarios including suspicious payments, high-risk country payments, exemptions for transport, trusted beneficiaries, recurring payments, fraud rate, device risk, and malware. Right chart titled 'Payment Instrument' is a horizontal bar graph showing counts with N/A highest, followed by WIRE, EFT, CHECK, ACH, and Others.

Limitlessly scale

Our solutions effortlessly scale to match the needs of even the largest financial institutions, with architecture that enables virtually limitless dynamic vertical and horizontal scaling.

Screenshot of a fraud detection alert interface showing details for an electronic transfer alert, including Alert Identifier PF_1904202300026590, status as Reopened, assigned to PF Demo-User, score of 50, and known fraud status as Auto Released; inset window shows key actions (Assign, Refer, Acquit, Confirm) and a similar alert with identifier PF_1904202300026584 assigned to Matt Jackson, with fraud classification Issuance of a payment order by the fraudster, and alert reason mentioning payment to a new counterparty after suspicious web activity.

Enhance customer experience with a unified approach across the enterprise

Apply fraud prevention controls intelligently so that genuine customers are not hampered by unnecessary steps or duplicated processes in their interactions.

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SymphonyAI Investigation Hub screen showing investigation details for John Rolands with very high subject risk. The AI Investigation Summary describes Joe Rolands' risk and account history. Tabs for AML, KYC/CDD, Payment Fraud, and Customer Screening are visible. The Payment Fraud tab is selected, displaying a table of unusual payments with Payment ID, Account ID, Base Amount in EUR, Debit or Credit, Response status (Hold, Released, Blocked), Origination Date, Score, and Counterparty Country (United States). Details for a sender named John Rolands from Ireland include Customer ID CS20320156 and IBAN.
SRI Investigation

Integrate payment fraud with AI-powered case management

Unify your enterprise-wide risk and compliance tech stack and arm every investigator with a generative AI-powered assistant.

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Solution benefits

Prevent fraud at the source

Significantly reduce fraud losses with real-time fraud detection that identifies and stops bad actors in their tracks.

Enable faster customer journeys

Remove unnecessary friction and only invoke processes like step-up authentication when needed.

Share intelligence seamlessly

Easily share risk and case information across fraud, risk, and compliance functions for a holistic approach to risk management.

Adapt detection models in-house

Enable in-house teams to easily create, configure or fine-tune detection models with self-service capabilities.