Payment Fraud

Expose risk in real-time. Stop fraud in flight.

Protect customers and reduce losses with real-time payment fraud detection. SymphonyAI connects predictive AI, shared risk intelligence and agent-led investigations to identify threats, reduce unnecessary friction and focus teams on the payments that need attention.

Faster payments leave less time to recognize fraud and respond

Scams and account takeovers put customers and revenue at risk in seconds. Fragmented signals make threats harder to recognize, while excessive alerts stretch investigation teams. Delayed decisions disrupt legitimate payments and leave less time to prevent losses.
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Payment speed narrows the window to prevent fraud losses
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Fragmented signals conceal connected fraud patterns
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False positives create avoidable customer friction
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Manual investigations consume time when seconds matter
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Stronger fraud protection with less friction

55%

Reduction in false positives

50%

Increase in payment fraud detection

<50ms

Payment fraud detection and scoring

45+

Scenarios for evolving fraud threats

360°

entity-centric view for every alert

70%

Faster investigations

From payment signals to action

Low latency detection and prevention
Connected risk context
Risk-based response
Agent-led investigation
Connected operations

Act while there is still time to prevent a loss. Evaluate in-flight payments with rules, predictive models and customer profiles. Connect detection to payment controls so suspicious activity can be interrupted while legitimate transactions continue.

  • Identify authorized push payment scams, account takeovers and money mule activity
  • Assess payments across connected channels, including wire, SWIFT and instant payments
  • Support real-time interdiction alongside intraday monitoring of corporate batch payments

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Three professionals in business attire working at a desk in a modern office, each with multiple computer monitors displaying financial charts, data, and analytics, surrounded by other workers and glass office partitions.

See the customer and the activity behind the payment. Bring transaction history, account events and related entities into a shared view. Add digital behavioral signals through ThreatMark integration to help distinguish genuine customer activity from account compromise or manipulation.

  • Link customer records and accounts through entity resolution to reveal connected activity
  • Compare payment behavior across channels with established customer profiles
  • Give teams relevant fraud, AML and customer risk information in one place

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Four analysts in a dark control room monitoring multiple large screens displaying various financial charts, graphs, and data analytics dashboards in blue tones.

Focus intervention where the evidence points to risk. Combine model scores, rules and customer context to prioritize alerts and apply proportionate controls. Help teams make informed decisions on held payments while reducing avoidable disruption for genuine customers.

  • Configure thresholds and response policies around your institution’s risk appetite
  • Support hold, release or block decisions through integrated payment workflows
  • Present relevant risk indicators together so reviewers can assess urgency and decide the next action

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Three professionals, two men and one woman wearing glasses, work at a row of desks each with dual monitors, smiling and monitoring alerts, one screen showing a dashboard with a high risk alert in red.

Reduce the manual work between an alert and a well-supported decision. In SRI Investigation, a Manager Agent coordinates Worker Agents to research entities, assemble evidence and prepare findings. Teams can focus on complex fraud, assess connected activity and resolve cases with greater consistency.

  • Triage and route alerts using risk context and configured investigation workflows
  • Bring supporting evidence and related activity together for review in a shared Evidence Board
  • Prepare case summaries and reporting narratives for human review, approval and escalation when required

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Carry fraud insight into the wider financial crime response. Connect investigations with transaction monitoring, screening and customer due diligence so teams can assess related exposure. Retain decision evidence and review detection performance as threats, customer behavior and payment volumes change.

  • Share relevant case findings across fraud, risk and compliance teams
  • Expose relationships between payment fraud, money mule activity and wider financial crime risk
  • Test proposed rule and model changes before approving them for production

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Capabilities that protect payments and customer trust

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Unified risk ontology and entity resolution

Connect customers, accounts, payments and relationships through a shared FinCrime ontology. Give detection and investigation teams a consistent view of connected risk.

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Payment protection at enterprise scale

Expand processing capacity as demand grows. Support high-volume, real-time scoring and batch workloads while maintaining responsive payment controls across the enterprise.

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Fewer false positives, sharper risk focus

Combine predictive models, configurable rules and customer profiles to distinguish suspicious activity from legitimate payments, reducing unnecessary alerts and avoidable customer friction.

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End-to-end agent-led investigations

Orchestrate triage, research, investigation and reporting in SRI Investigation. Agents prepare evidence and findings, helping teams resolve cases consistently with human oversight.

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Behavioral intelligence before payment

Extend payment analysis with ThreatMark’s digital behavioral signals. Recognize signs of account compromise or manipulation earlier in the customer journey.

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Detection that adapts to new threats

Equip fraud teams to configure, test and refine rules and models in-house, improving coverage as criminal tactics and customer behavior change.

Results you can see

Published results across payment fraud and connected investigations.

U.S. bank stops high-value payment fraud

After a 140% rise in fraud attempts, a regional bank used real-time controls to interrupt suspicious payments before funds left.

0
Payment fraud losses for consecutive months
Wire / SWIFT
Payment flows protected
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Nighttime cityscape with a tall illuminated central tower surrounded by high-rise buildings lit with office and red aviation lights, a highway with bright streetlights and light trails from vehicles stretches in the foreground.

After a 140% rise in fraud attempts, a regional bank used real-time controls to interrupt suspicious payments before funds left.

Read case study
0
Payment fraud losses for consecutive months
Wire / SWIFT
Payment flows protected
European bank saves €3.5M annually on investigations

SRI Investigation consolidated risk information, reducing review effort and vendor costs.

€3.5m
Annual cost savings
20%
Less L1/L2 investigation effort
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Low-angle view of two modern glass skyscrapers reflecting the clear blue sky with sunlight in the upper right corner.

SRI Investigation consolidated risk information, reducing review effort and vendor costs.

Read case study
€3.5m
Annual cost savings
20%
Less L1/L2 investigation effort
U.S. insurer connects fraud and compliance

An integrated suite combines payment fraud, KYC/CDD, screening, transaction monitoring and case management.

500k+
Daily transactions across operations
15m+
Customers and policies
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Cityscape of London featuring iconic skyscrapers including the Gherkin, the Leadenhall Building, and other modern high-rises under a partly cloudy blue sky during golden hour.

An integrated suite combines payment fraud, KYC/CDD, screening, transaction monitoring and case management.

Read case study
500k+
Daily transactions across operations
15m+
Customers and policies

Adopt AI at your pace

Start where teams need support and extend as value grows.

Build on existing fraud controls

Introduce agent-led investigations alongside your current detection systems.

● Reduce manual research and case preparation   
● Enrich detection with behavioral risk insight

Symphony Risk Intelligence

SRI is an agent-native risk and compliance platform purpose built to transform FinCrime

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Always-on Compliance™

Combining unified risk intelligence with end-to-end agentic orchestration, SRI enables compliance programs to stay current by design as regulations, threats, and business activity change.

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Modular for ultimate flexibility

SRI is built so customers can start where they need to, expand at their own pace, and scale across regions, lines of business, and use cases without friction.

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Strategic agility at scale

Modernize your infrastructure with a cloud-native, evergreen platform that prepares your business for the era of agentic AI and continuous AI innovation.

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Built for FinCrime. Proven at scale.

Our solutions are built on 25 years of proven expertise on a global scale. That’s why we’re trusted by 33% of the world’s largest financial institutions.

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Payment Fraud FAQs

Explore how real-time detection, connected risk insight and agent-led workflows help protect customers, reduce friction and strengthen your response to payment fraud.

Which payment fraud threats can SymphonyAI help address?

SymphonyAI helps detect authorized push payment scams, account takeovers, money mule activity and other fraud patterns. Rules, predictive models and customer profiles help spot threats across connected channels, including wire, SWIFT and instant payments.

How does real-time detection help prevent losses?

Payments are scored while in flight, allowing integrated controls to hold or block suspicious transactions. Published scoring latency is under 50 milliseconds. This figure covers detection and scoring. Total payment and case review times depend on the wider workflow and deployment.

How do you reduce friction for genuine customers?

Models assess payment behavior alongside configurable rules and customer context. More precise risk assessment helps teams reduce unnecessary alerts and apply proportionate controls. Thresholds and intervention policies remain configurable, so institutions can balance fraud prevention with the customer experience.

Where do agents fit into payment fraud prevention?

Agents support triage, research, investigation and reporting through SRI Investigation. They gather evidence and prepare findings for review, helping teams assess complex cases. Live payment scoring uses predictive models and rules; agent-led case work follows its own workflow and timing.

Can we improve fraud operations without replacing everything?

Yes. Introduce agent-led investigation alongside existing detection, or connect payment fraud capabilities through available interfaces. Extend shared context across fraud, AML and customer risk in stages. Data, interfaces and your own controls shape the scope and sequence.

Stop fraud and keep your customers moving

See how SymphonyAI helps cut fraud losses, reduce friction and free fraud teams to act.