Streamline fraud detection with AI-native solutions, reducing false positives, enhancing compliance, and driving growth for your PSP.
Streamline oversight, reduce risk, and enhance compliance to protect your merchant portfolio from financial and reputational threats.
You juggle siloed data feeds, making portfolio-wide monitoring nearly impossible; undetected spikes in fraud or policy breaches quietly raise financial and reputational risk.
Surging card-not-present disputes can push your merchants over scheme thresholds, triggering extra fees, frozen reserves, and strained acquirer relationships.
Spreadsheet-driven onboarding is slow and error-prone, often missing hidden owners, synthetic IDs, or sanctioned entities—leaving costly compliance gaps.
Analysts hop between tools chasing delayed alerts instead of blocking bad transactions, inflating losses and head-count costs.
Streamline oversight, reduce compliance gaps, and protect merchant relationships with FraudNet's integrated risk management.
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 automated fraud triage is a process used by Payment Service Providers to efficiently identify and manage potential fraudulent activities. It utilizes machine learning algorithms and data analytics to quickly assess the risk level of transactions and decide if they should be approved, declined, or flagged for further review. This system helps in reducing fraud-related losses and optimizing the workflow of fraud management teams.
Automated fraud triage works by using advanced algorithms and historical data to evaluate various factors associated with a transaction, such as the transaction amount, location, device used, and user behavior. The system assigns a risk score to each transaction, which determines the action to be taken. High-risk transactions may be automatically blocked or flagged for manual review, while low-risk transactions are typically approved without delay.
The benefits of using automated fraud triage include faster and more accurate detection of fraudulent activities, reduced false positives, and improved customer experience. It enables PSPs to handle high volumes of transactions efficiently, minimize operational costs, and enhance fraud detection rates by continuously learning from new data patterns. This leads to better protection against fraud while maintaining smooth transaction processes for legitimate users.
Yes, automated fraud triage systems are designed to adapt to new fraud tactics by leveraging machine learning and artificial intelligence technologies. They continuously analyze transaction data and learn from emerging fraud patterns. This adaptability allows them to evolve and refine their detection capabilities over time, ensuring that they remain effective against new and sophisticated fraud schemes, thus providing ongoing protection for PSPs and their customers.
Implementing automated fraud triage can pose several challenges, including integration with existing systems, ensuring data privacy compliance, and managing false positives. Additionally, maintaining the accuracy and efficiency of the algorithms requires regular updates and fine-tuning. There is also the need for skilled personnel to interpret complex data outputs and make informed decisions on flagged transactions. Addressing these challenges is crucial for achieving a successful fraud management strategy.
Automated fraud triage positively impacts customer experience by reducing transaction delays and minimizing the likelihood of false declines, which can frustrate legitimate users. By efficiently identifying and blocking fraudulent transactions, it ensures a smoother and more secure payment process. Furthermore, it allows PSPs to focus their resources on genuine threats, thereby enhancing overall service quality and customer trust. A well-implemented system balances fraud prevention with user convenience, benefiting both the PSP and its customers.