Anti-fraud Solution
Detect and prevent insurance fraud in real time with our Anti-fraud System — powered by machine learning, analytics, and automation.
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Why Anti-fraud System?
Our Anti-fraud System is a proactive and adaptive solution, designed not only to detect fraud in real time but also to protect the experience of your legitimate customers while boosting operational efficiency. By investing in our technology, you gain a partner who helps transform risk management into a competitive advantage.
Comprehensive Fraud Detection
We combine business rules, machine learning algorithms, and behavioral analytics to effectively identify both known and emerging fraud patterns.
Real-Time
Decisions
Our system instantly detects suspicious activity without disrupting the customer journey for your legitimate clients.
Holistic Risk Assessment
We integrate and analyze data from multiple sources (internal systems, external databases, device data) to build a comprehensive and accurate risk profile.
How Our Anti-fraud System Works
A strong anti-fraud solution should be proactive, data-driven, and adaptive. This is best illustrated by the presentation slide. Ultimately, an effective anti-fraud solution not only prevents financial crime but also enhances customer experience and drives operational efficiency.
Multi-layered detection
Combining business rules, machine learning algorithms, and behavioral analytics to identify both known and emerging fraud patterns.
Real-time decisions
Instantly detecting suspicious activity without disrupting the experience of legitimate customers.
Data integration
Aggregating and analyzing information from multiple sources (internal systems, external databases, device data, biometrics, IoT) to build a complete risk profile.
Transparency & explainability
The system should clearly indicate why a given case was flagged as suspicious, supporting investigative teams and meeting regulatory requirements.
Continuous learning
Detection models must evolve in real time to keep pace with increasingly sophisticated fraud tactics.
Analyst-friendly tools
Intuitive interfaces and functionalities that enable quick case analysis, uncovering connections, and prioritizing actions.
A Simple Anti-frauds System For a Major Insurer
In our anti-fraud solution, a key role is played by Higson - our proprietary business rules engine, which enables flexible creation and management of fraud detection logic. The solution has been integrated with one of the client’s systems, collecting and analyzing data from multiple sources.
Based on this data, a machine learning model generates a numerical fraud risk score. The entire implementation was delivered through a lightweight API integration, ensuring fast deployment and easy adaptability to the client’s evolving processes.
Embargo – Our Proprietary Anti-fraud Algorithm
Another client implementation example is Embargo - a solution based on a matching algorithm designed to identify individuals or entities appearing on so-called “blacklists,” such as sanction lists, watchlists, or databases linked to criminal activity.
In practice, client data is instantly cross-checked against trusted international sources, including the Dow Jones Watchlist. By leveraging advanced fuzzy matching algorithms, the system can detect even subtle similarities — for example, variations in spelling or transliteration of names. In just fractions of a second, the system is able to identify potential matches.
Benefits
Used by the World's Leading Companies
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