
Fraud detection for insurance companies
The best software to protect against insurance fraud


Real-time detection
fraudify recognizes automatically and in real time whether damage reports have been faked or manipulated.

GDPR-compliant
fraudify is fully GDPR-compliant thanks to data anonymization and state-of-the-art security measures.

Increased efficiency
Equip your team with fraudify to work smarter and solve cases faster.

Full transparency
The clear dashboard provides a quick overview with detailed information.
Fraud is one of the biggest challenges in the insurance industry. Every year, billions are lost due to manipulated, fictitious or completely unjustified claims, false information and digital deception. With fraudify fraud detection software, you can rely on a specialized solution that combines state-of-the-art technologies such as image forensics, rule-based analyses and machine learning to detect fraud attempts at an early stage and minimize risks.
Whether manipulated loss images, suspicious patterns or unknown fraud methods - fraudify offers you the right tools to make informed decisions and protect your processes efficiently. Protect yourself from financial losses, avoid the risks of manual processes and increase the efficiency of your fraud defense
fraudify - modules at a glance

Image forensics
With the fraudify image forensics module, you can automatically check submitted image files for manipulation. The AI-supported forensics recognizes editing traces, checks metadata and performs reverse searches on the Internet to identify forged or duplicate images.
Detection of copy-paste manipulations, retouching and deepfakes
Checks metadata such as timestamps, geodata and camera data
Reverse search on the Internet and duplicate check
Clearly visualized results

Rules Engine
With the fraudify Rules Engine module, you can identify cases of fraud using predefined rules and patterns. This rule-based fraud detection is ideal for typical types of fraud in the insurance industry, such as duplicate claims or implausible information.
Specialist departments can create and adapt rules independently
High cost-effectiveness: amortization in less than two years
Seamless integration into your systems
Supports all lines of insurance, from motor to household insurance

Machine Learning
The fraudify machine learning module continuously learns from new cases and also recognizes unknown fraud patterns. This data-driven component supplements the functions of the image forensics and rules engine with machine learning algorithms for even more precise predictions.
Rapid adaptation to new fraud methods thanks to regular updates of the training data
Analysis of image, context and process data for data-based prediction of fraud probability
Perfect addition to image forensics and rules engine
Seamless integration into your systems

Combination of all fraudify modules
The combination of all three modules enables fraudify to develop its full potential. Manipulated images are detected before they become a problem, predefined rules identify typical fraud patterns, and the use of machine learning means that previously unknown methods can also be uncovered, with the system adapting dynamically. In this way, fraudify provides you with comprehensive fraud detection software that makes your verification processes more efficient, minimizes financial losses and at the same time strengthens your decision-making basis.
Winner of the Insurance Industry Innovation Award
fraudify was awarded the 2024 Insurance Industry Innovation Award in the customer experience category. This honor confirms our leading role in developing user-friendly, efficient and innovative solutions for the insurance industry. With fraudify, you benefit from state-of-the-art technology that seamlessly integrates fraud detection into your processes and sustainably improves the customer experience.

Find out more about our work in fraud prevention

Digitalization speeds up administrative processes, but unfortunately also opens new doors for fraud. Forged documents, manipulated images or even deceptively genuine deepfakes pose enormous challenges for public administration and its processes.

How can data analytics software like DAISE be used in practice? We'll show you using our project with the LASV! Using the "Brandenburg Social Indicators" developed by the LASV, politicians and the specialist public are regularly and systematically informed about social structures and processes.

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Frequently asked questions about fraudify - the fraud detection software
fraudify is aimed at insurance companies of all sizes that want to optimize their fraud prevention. The software is flexible and can be adapted to different insurance sectors.
Specialized in insurance: fraudify was developed specifically for the requirements of the insurance industry and is already used by leading top insurers.
Modular and flexible: Thanks to the three modules - image forensics, rule-based fraud detection and machine learning - you can adapt the software to your individual requirements.
Efficient and precise: fraudify uses intelligent technology to detect fraud patterns quickly, reliably and in real time.
Easy integration: fraudify can be seamlessly integrated into your existing systems - both in the cloud and on-premises.
GDPR-compliant: State-of-the-art security standards and data anonymization ensure the protection of sensitive information.
The modules complement each other perfectly: image forensics detects manipulative content, the rules engine identifies suspicious patterns and machine learning discovers new fraud methods. Together, they offer a holistic solution.
Thanks to modern interfaces (REST APIs), fraudify can be easily integrated into your existing systems - both in the cloud and on-premises.
Yes, fraudify meets the requirements of the GDPR through data anonymization and state-of-the-art security measures.