Empower your PSP with AI-driven risk scoring for enhanced fraud detection, operational efficiency, and streamlined compliance.
Streamline merchant oversight, minimize chargeback risks, and accelerate KYB processes for enhanced compliance and operational efficiency.
PSPs juggle thousands of merchants across verticals. Disparate data sources make it hard to spot emerging risks, leaving high-risk sellers to slip through routine reviews.
Rising card-not-present disputes can push portfolios over network thresholds, triggering financial penalties, higher reserve requirements, and reputational damage with acquirers.
Spreadsheet-driven onboarding slows growth. Human checks miss hidden ownership changes, synthetic identities, and sanctioned entities, creating costly compliance gaps.
Without a unified dashboard, analysts chase alerts across tools, delaying decisions on suspicious transactions and preventing proactive risk mitigation.
Streamline risk management, enhance compliance, and protect revenue with FraudNet's unified oversight and automation.
We don’t just promise better fraud control—we deliver tangible improvements that protect your business.
Approve more valid transactions confidently.
Experience double-digit reductions in fraud-related chargebacks
Save time and resources while securing your revenue.
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.
No-code rules engine, flexible dashboards, and tailor-made machine learning models that are designed to adapt seamlessly and scale alongside your business.
Unify fraud detection, compliance, and risk management into one powerful solution, saving valuable time and streamlining your operations.
Reduce false positives, detect and prevent more fraud, and mitigate risk with highly accurate, real-time risk scoring and anomaly detection you can trust.
Leverage advanced analytics, comprehensive reporting, and our Global Anti-Fraud Network to make faster, smarter decisions on the spot.
PSP AI risk scoring is a method used by payment service providers to evaluate the risk associated with a transaction using artificial intelligence. By analyzing various data points and patterns, AI algorithms can assign a risk score to each transaction, helping to identify potentially fraudulent activities. This system allows PSPs to make informed decisions about approving or flagging transactions for further review, thus enhancing security and reducing fraud.
AI improves risk scoring accuracy by leveraging machine learning algorithms that can analyze large datasets and identify complex patterns indicative of fraud. Unlike traditional rule-based systems, AI can adapt to new fraud tactics by continuously learning from new data. This adaptability ensures that PSPs can detect evolving threats more efficiently, reducing false positives and enhancing the overall accuracy of risk assessments in payment processing.
AI-based risk scoring typically uses a variety of data points, including transaction details (amount, frequency, location), user behavior patterns, device information, historical transaction data, and external data sources such as blacklists or fraud databases. By combining these data elements, AI models can create a comprehensive profile of each transaction, identifying anomalies that may indicate fraudulent activity.
Yes, AI risk scoring can significantly help reduce chargebacks for PSPs by identifying potentially fraudulent transactions before they are processed. By accurately assessing the risk level of each transaction in real-time, PSPs can prevent high-risk transactions from being completed, thereby reducing the likelihood of chargebacks. Additionally, AI systems can help in identifying and preventing friendly fraud, where legitimate customers dispute charges they actually authorized.
PSPs face several challenges when implementing AI risk scoring, including data privacy concerns, integration with existing systems, and the need for high-quality data to train AI models. Additionally, there might be resistance to change from stakeholders accustomed to traditional methods. Balancing false positives and negatives is also critical to ensure legitimate transactions are not wrongly declined. Managing these challenges requires careful planning and collaboration with AI experts.
AI risk scoring supports compliance by providing PSPs with the tools to detect and prevent fraudulent transactions, which is often a regulatory requirement. AI systems can be configured to adhere to specific compliance guidelines, such as those set by PCI DSS or GDPR, by ensuring data security and privacy. Furthermore, AI can generate detailed audit trails and reports, which are essential for demonstrating compliance during regulatory reviews or audits.