Automating Transaction Approvals for P2P Payment Companies

Streamline approvals, enhance security, and reduce fraud risk with real-time insights for seamless P2P payment transactions.

Is Your P2P Platform Vulnerable to These Fraud Threats?

Safeguard your platform from fraud threats and protect user trust by addressing these critical vulnerabilities head-on.

Account Takeovers (ATO)

Stolen credentials, SIM swaps, or malware let fraudsters hijack user wallets and drain balances instantly.

Synthetic Identity Fraud

Criminals open new P2P accounts with blended or fictitious IDs, then use them to mule or launder funds.

Social Engineering Scams

Users are tricked into sending money to impostors posing as friends, family, or customer-service agents.

Money Muling Networks

Recruiters funnel illicit proceeds through unsuspecting consumers, heightening AML exposure and regulatory risk.

FraudNet: Powering Advanced Solutions to Combat Fraud

Secure your P2P platform with proactive fraud detection and prevention, safeguarding users and transactions.

Real-Time Transaction Monitoring

Millisecond risk scoring blocks suspicious transfers before settlement.

Device Intelligence

Fingerprint devices to spot shared hardware across multiple risky accounts.

Synthetic Identity Detection

Cross-check consortium and internal data to flag fabricated IDs at onboarding.

Geo-Velocity Analysis

Detect impossible travel or location mismatches during login or send events.

Key Capabilities For Peer-to-Peer (P2P) Payment companies

AI-Native Risk Scoring

FraudNet's AI-native risk scoring scrutinizes every P2P transfer instantly, adapting autonomously to evolving fraud tactics. This eliminates the need for manual rule adjustments, offering P2P payment companies seamless protection against emerging threats while ensuring smooth, secure transactions for their users.

Unified Fraud & AML Console

Streamline your fraud prevention with our Unified Fraud & AML Console. Access device, identity, and transaction data all in one place, dramatically reducing investigation time and minimizing false positives. Enhance your security measures and protect your users with efficiency and precision.

Consortium Intelligence Network

Harness the power of our Consortium Intelligence Network to proactively identify emerging mule rings and synthetic profiles. Stay ahead of fraud trends and protect your users by leveraging global data insights, ensuring secure and seamless transactions for your P2P payment platform.
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

Speak with our Solutions Expert Today

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FAQs

What is P2P automated payment approval?

P2P automated payment approval refers to the use of technology to automatically approve or decline peer-to-peer transactions based on predefined criteria. This system leverages algorithms and machine learning to assess transaction legitimacy, reducing manual intervention and speeding up the approval process while minimizing fraud risks.

What are the benefits of using automated payment approvals in P2P transactions?

Automated payment approvals enhance transaction speed, accuracy, and security in P2P payments. They reduce manual errors, minimize fraud by using real-time data analysis, and improve user satisfaction by providing faster transaction processing. Additionally, automation can lower operational costs for payment platforms by reducing the need for extensive manual reviews.

How do automated payment approval systems detect fraudulent activities?

These systems use advanced algorithms and machine learning models to analyze transaction patterns and user behavior. They cross-reference data points such as transaction amounts, frequency, and location against historical data to identify anomalies or red flags. The systems can also incorporate real-time threat intelligence feeds to enhance fraud detection capabilities.

What criteria are commonly used in automated payment approval systems?

Common criteria include transaction amount, frequency of transactions, transaction location, user account age, historical transaction patterns, and device information. These factors are assessed to determine the likelihood of a transaction being legitimate or fraudulent, allowing the system to approve or flag transactions for further review.

Can users customize their automated payment approval settings?

Some P2P payment platforms offer users limited customization of their automated approval settings. Users may be able to set transaction limits, specify trusted contacts or locations, and choose notification preferences. However, core risk assessment criteria are typically standardized to ensure robust security across the platform.

What challenges do P2P platforms face with automated payment approvals?

Challenges include ensuring high accuracy in fraud detection without causing false positives that inconvenience users, maintaining up-to-date threat databases, and adapting to evolving fraud tactics. Additionally, balancing user privacy with effective monitoring and compliance with financial regulations presents ongoing challenges for P2P platforms.