Is Your Team Drowning in a Sea of Alerts and False Positives?
Streamline your fraud detection process, reduce alert fatigue, and enhance decision-making with seamless, intelligent filtering for your team.
Overwhelming Alert Volume
P2P rails generate millions of micro–transactions daily. Without intelligent filtering, analysts face a nonstop flood of red flags, slowing reviews and allowing high-velocity mule activity to slip past.
High False-Positive Rates
Legacy rule sets flag normal peer transfers—roommates, gig-pay, family remittances—as suspicious. Re-work drains analyst hours, frustrates users with unnecessary holds, and erodes brand trust.
Limited Investigation Resources
Most P2P teams run lean. Manual case hopping across spreadsheets and siloed tools stretches staff thin, inflates OpEx, and leaves little time for strategic fraud-ring hunting.
Alert Fatigue Impairs Decisions
Constant context switching dulls attention. Analyst burnout raises error rates, increases turnover, and delays escalation of genuine account-takeover or scam patterns.
Transform P2P Security with FraudNet's Cutting-Edge Solutions
Streamline alert management and safeguard P2P transactions with precise, efficient, and targeted fraud detection.
AI-Native Transaction Scoring
Ranks risk in milliseconds; cuts noise.
Automated Alert Triage
Routes only high-risk cases to humans.
Adaptive Behavioral Analytics
Learns peer norms; slashes false hits.
Unified FraudNet Dashboard
One view; faster actions, easy audits.
Precision You Can Trust
FraudNet’s AI-native models leverage global fraud intelligence to slash false positives by up to 70%. Protect your P2P users effectively while minimizing disruptions, ensuring seamless transactions and enhanced trust, all without unnecessary friction or manual intervention.
Smart Prioritization
Our dynamic risk queue pinpoints the top 5% of alerts responsible for 95% of P2P losses. By focusing only on high-impact cases, we eliminate analyst fatigue and clear backlogs, empowering your team to act swiftly and efficiently against real threats.
Unified, Auditable Workflows
Streamline your compliance process with our unified cloud console, where case management, evidence, and reporting come together seamlessly. Expedite SAR preparation and swiftly demonstrate compliance to regulators, freeing your team to focus on strategic fraud prevention rather than paperwork.
Impact & Results
Delivering Results that Matter
We don’t just promise better fraud control—we deliver tangible improvements that protect your business.
97%
Fewer False Positives
Approve more valid transactions confidently.
88%
Fraud Reduction
Experience double-digit reductions in fraud-related chargebacks
60%
Cost Savings
Save time and resources while securing your revenue.
Why FraudNet
Future-Proof Your Fraud & Risk Program
With an integrated platform designed for precision, agility, and impactful results, enabling your team to make smarter decisions, improve operational efficiency, and fuel your business growth.
Customizable & Scalable
No-code rules engine, flexible dashboards, and tailor-made machine learning models that are designed to adapt seamlessly and scale alongside your business.
End-to-End Platform
Unify fraud detection, compliance, and risk management into one powerful solution, saving valuable time and streamlining your operations.
AI Precision You Can Rely On
Reduce false positives, detect and prevent more fraud, and mitigate risk with highly accurate, real-time risk scoring and anomaly detection you can trust.
Real-Time Fraud Intelligence
Leverage advanced analytics, comprehensive reporting, and our Global Anti-Fraud Network to make faster, smarter decisions on the spot.
Testimonials
Real Success From Real Teams
Fraud.net’s flexibility has helped our AfterPay business grow by allowing us to meet our increasingly complex customer and country requirements. Their platform has enabled Arvato to increase our agility and significantly reduce fraud attacks.
Director Risk & Fraud, Arvato
FraudNet's combination of customized machine learning and flexible rules management has been transformative. We've achieved dramatic efficiency gains while maintaining robust fraud protection - a game-changer as we navigate evolving regulatory requirements.
Head of Financial Crime, Countingup
The great usability of Fraud.net is night and day when comparing it to our prior risk prevention platform. Reporting is also faster, more straightforward, and more impactful. With Fraud.net, we can easily visualize and share findings, providing our leadership with a clear understanding of the return-on-investment for our activities in real-time.
Fraud Manager, Global Financial Institution
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FAQs
What is P2P fraud alert fatigue?
P2P fraud alert fatigue occurs when users become desensitized or overwhelmed by the frequency of fraud alerts in peer-to-peer payment systems. This can lead to users ignoring or dismissing important alerts, potentially missing actual fraudulent activities. It's a significant concern for financial institutions as it can undermine the effectiveness of fraud detection systems and increase the risk of successful fraud attempts.
Why is P2P fraud alert fatigue a concern for financial institutions?
P2P fraud alert fatigue is concerning because it can lead to users ignoring alerts, decreasing their vigilance against potential fraud. This can result in higher instances of successful fraudulent transactions. Additionally, frequent false positives can erode trust in the financial institution's systems, leading to customer dissatisfaction and attrition. Addressing alert fatigue is crucial for maintaining user engagement and ensuring the effectiveness of fraud prevention mechanisms.
How can financial institutions reduce P2P fraud alert fatigue?
To reduce P2P fraud alert fatigue, financial institutions can implement more sophisticated fraud detection algorithms that minimize false positives. Personalizing alerts based on user behavior and transaction history can also help. Providing clear and actionable information within alerts and offering options for users to customize alert preferences can enhance user engagement. Regularly reviewing and updating fraud detection rules to reflect current threat landscapes can further improve the relevance of alerts.
What role does machine learning play in combating P2P fraud alert fatigue?
Machine learning plays a crucial role in combating P2P fraud alert fatigue by enabling more accurate and dynamic fraud detection. By analyzing large datasets and identifying patterns, machine learning models can reduce false positives, ensuring alerts are more relevant and timely. This helps maintain user trust and engagement. Additionally, machine learning can continuously adapt to evolving fraud tactics, ensuring that detection systems remain effective and reduce unnecessary alerting.
How does user behavior influence P2P fraud alert fatigue?
User behavior significantly influences P2P fraud alert fatigue. Users who frequently engage with P2P payment platforms may experience more alerts, leading to desensitization. Behavioral patterns, such as consistent transaction types and amounts, can help tailor alerts, reducing unnecessary notifications. Understanding user behavior allows institutions to customize alert thresholds and presentation, ensuring that alerts are perceived as relevant and actionable, thus mitigating fatigue and enhancing user trust and attentiveness.
What are the potential consequences of ignoring P2P fraud alerts?
Ignoring P2P fraud alerts can have several negative consequences. Users may miss legitimate warnings of fraudulent activity, leading to financial losses and compromised accounts. Over time, this can erode trust in the P2P payment platform and financial institution. For the institution, ignored alerts can result in increased fraud-related costs and damage to their reputation. It's crucial for users to remain vigilant and for institutions to ensure alerts are accurate and relevant to mitigate these risks.