Protect Your Business With AI-Native Solutions: Detect Fraud Faster, Enhance Compliance, and Optimize Operational Efficiency in Real-Time.
Equip your payment system to swiftly detect and counter evolving fraud threats, safeguarding revenue and enhancing customer trust.
Fraudsters now deploy generative-AI to launch large-scale, rapidly mutating attacks, overwhelming PSP rules engines and inflating chargeback ratios.
Blended real-and-fake credentials bypass standard KYC, letting criminals open merchant or consumer accounts that abuse PSP rails for months before detection.
Instant payouts leave almost no recall window; legacy batch screening can’t flag high-risk transactions before funds settle, exposing PSPs to direct loss.
PSPs operating across regions juggle PSD2, PCI DSS, AML, and local mandates, risking fines and customer friction when controls lag behind rule changes.
Fraudnet empowers Payment Service Providers to proactively outsmart fraud, ensuring secure and seamless transactions.
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.
Recent trends in PSP fraud tactics include synthetic identity fraud, where fraudsters create fake identities using real and fabricated information, and account takeover attacks, which involve gaining unauthorized access to a user's account. Additionally, there is an increase in automated bot attacks aiming to test stolen credentials on a large scale. Fraudsters are also leveraging machine learning to mimic legitimate user behavior and evade detection systems.
PSPs can differentiate between legitimate and fraudulent transactions by employing advanced machine learning algorithms that analyze transaction patterns, behavioral biometrics, and device fingerprinting. Multi-layer authentication, such as two-factor authentication and dynamic CVV, enhances security. Real-time monitoring and anomaly detection systems also help in identifying unusual transactional behavior. Collaboration with other financial institutions and sharing fraud intelligence can further improve the accuracy of fraud detection.
Artificial intelligence plays a crucial role in combating payment fraud by enhancing the accuracy and efficiency of fraud detection systems. AI algorithms can analyze vast amounts of transaction data in real-time to identify patterns and anomalies indicative of fraudulent activity. Machine learning models continuously learn from new data, improving their predictive capabilities. AI also aids in automating routine tasks, allowing fraud analysts to focus on more complex investigations and decision-making.
Fraudsters exploit mobile payment systems by targeting vulnerabilities such as weak app security, insufficient authentication measures, and unpatched software. They use tactics like SIM swapping, where they gain control of a user's phone number, and phishing attacks to steal credentials. Fraudsters also exploit mobile malware to intercept transaction data. Ensuring robust app security, educating users about phishing risks, and implementing strong authentication can help mitigate these threats.
PSPs can implement several preventive measures to reduce fraud risk, including employing multi-factor authentication, using real-time fraud detection systems, and conducting regular security audits. Educating customers about potential scams and safe transaction practices is crucial. PSPs should also adopt tokenization and encryption technologies to protect sensitive data. Furthermore, establishing a rapid response team to address and investigate suspicious activities can significantly enhance fraud prevention efforts.
Collaboration among financial institutions can significantly strengthen fraud prevention efforts by facilitating the sharing of fraud intelligence, trends, and best practices. Joint initiatives can lead to the development of industry-wide standards and protocols for detecting and responding to fraud. Collaborative platforms enable real-time information exchange, helping institutions quickly identify and mitigate emerging threats. Additionally, partnerships with law enforcement agencies enhance the ability to track and prosecute fraudsters effectively.