Scam Prevention
Spot Scams.
Improve Loyalty.
Detect all kinds of scams proactively by monitoring every user interaction. Protect customers and enhance trust.
Behavioral Biometrics
via Digital Trust
Evaluate the behaviors that customers develop over time as a result of their different connection variables. Biometric approaches can help determine whether the user is logging into the legitimate account or, if their behavior matches of a fraudster.
Link Analysis
via Graph Intelligence
Visualize the relationships between financial actors like individuals, accounts, transactions, or devices. Reveal connections that appear anomalous which may indicate potential fraudulent activity. Focus on high-risk transaction patterns and save time.
Transaction Pattern Analysis
through Holistic Approach
Analyze transaction patterns to detect anomalous activities and prevent account theft attempts. Block the suspicious activities that drastically diverge from the patterns.
Frequently Asked Questions
Scam prevention is a proactive security approach that detects and blocks fraudulent activity by analyzing user behavior, transactions, and network interactions. It helps identify risks before they cause damage and protects both users and platforms in real time.
Behavioral biometrics analyzes how users interact with digital systems over time, including typing rhythm, mouse movements, and navigation patterns. If the behavior significantly deviates from the expected user profile, the system can flag or block the session as potentially fraudulent, reducing account takeover risks.
Link analysis identifies relationships between users, devices, accounts, and transactions by mapping them in a connected graph structure. This helps uncover hidden fraud networks and detect suspicious patterns that are not visible through isolated data analysis.
Transaction pattern analysis evaluates historical user behavior such as transaction amount, frequency, timing, and location. When a transaction deviates significantly from normal behavior, it is flagged as suspicious and can be blocked or reviewed to prevent fraud attempts.
Scam prevention is essential for protecting revenue, reducing fraud losses, and maintaining customer trust. By detecting suspicious activity early, businesses can ensure a secure user experience and strengthen long-term loyalty through safer digital interactions, especially when supported by advanced systems like Formica AI.