The protection of assets, especially against theft or misappropriation, has long been a major issue for companies. Anti-fraud measures are based on three main pillars: prevention, detection, and response. These traditional approaches are now facing several developments that offer unprecedented opportunities that companies must seize. New methods of fraud are threatening the classic anti-fraud pillars of prevention, detection, and response, showing that companies need to evolve.
To address these issues and help protect our clients against cybercriminals, Wavestone US consultants are using the power of machine learning and other innovative techniques to transform anti-fraud processes. Our approach consists of:
- Anticipating new trends in the fight against fraud
- Defining strategies to combat fraud that is consistent with the risks, business challenges, and organizational impacts of a business
- Identifying vulnerabilities for business processes and business applications
- Complying with new regulations that incorporate anti-fraud clauses
- Integrating new technologies into fraud detection strategies; Wavestone is continuously researching the latest tools to help our clients as seen in the diagram below:
Our proven methodology is designed to be fluid and results-driven to meet our client expectations. The following diagram represents the critical steps in Wavestone’s review, design, and implementation process.