Ensure Compliance, Reduce Risks, and Enhance Efficiency With Real-Time, AI-Native Sanctions Screening Tailored for Your Industry.
Streamline compliance with efficient processes and updated data, reducing risk and enhancing accuracy in your operations.
Paper-based checks and spreadsheet workflows slow onboarding, inflate costs, and leave you exposed to missed sanctions hits.
Relying on static lists means new designations can slip through, increasing regulatory and reputational risk.
Imprecise matching triggers excessive alerts, overloading analysts and delaying legitimate customer transactions.
Disparate tools prevent a 360° view of entity risk, making it hard to investigate, report, and remediate efficiently.
Ensure compliance and reduce risk with FraudNet's real-time screening and accurate risk scoring solutions.

FraudNet’s AI-native precision drastically reduces false positives, enabling your team to concentrate on real threats. Optimize your resources and enhance efficiency by minimizing distractions from irrelevant alerts.

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.
Sanctions Screening Software is a tool used by financial institutions and businesses to identify and prevent transactions involving individuals, entities, or countries that are subject to economic sanctions. The software compares transaction data against updated sanctions lists to ensure compliance with international regulations and to mitigate the risk of engaging in prohibited activities.
Sanctions Screening is crucial for compliance with international laws and regulations. It helps organizations avoid fines and penalties by ensuring they do not engage in prohibited transactions. By screening for sanctioned entities, businesses also protect their reputation and contribute to global efforts against money laundering, terrorism financing, and other illicit activities.
Sanctions Screening Software uses algorithms to compare customer and transaction data against various sanctions lists, such as those from the UN, EU, and OFAC. The software identifies matches and generates alerts for potential hits, enabling compliance teams to review and investigate these cases further. It often includes features like fuzzy matching and risk scoring to improve accuracy.
Common features include real-time screening, batch processing, fuzzy matching, risk scoring, customizable rules, audit trails, and integration with other compliance systems. The software often provides automated alerts and reporting capabilities to streamline the compliance process and ensure timely responses to potential matches.
Sanctions lists are typically updated in real-time or at regular intervals, such as daily or weekly, depending on the software provider. Regular updates are crucial to ensure that the software reflects the most current sanctions and compliance requirements. This helps organizations remain compliant and avoid inadvertently engaging in prohibited transactions.
Yes, Sanctions Screening Software is designed to handle false positives by using advanced matching algorithms and risk scoring. Compliance officers can review alerts to differentiate between true matches and false positives. Some software solutions offer machine learning capabilities to improve accuracy over time and reduce the occurrence of false positives by learning from past reviews and decisions.