Employee Fraud Detection
Fraud detection by employees
Anomalia- Employee Fraud Detection harnesses the true power of Artificial Intelligence by using proprietary algorithms and connectors that help in automating several steps such as pre- processing, cleansing and harmonizing transactional data that enables the identification of employee fraud situation in nimbler and more economical manner. This software app identifies patterns related to all transactions and relationships, employee behaviour, segmentation of employee into cohorts, and various internal and external documents including KYC documents and emails.
Monitoring customer accounts for activity, and skimming funds from inactive or almost inactive accounts
Skimming funds from unmonitored accounts, such as elderly customer accounts
Reversing non-sufficient funds (NSF) fees, & transferring the refunded charges to their personal accounts
Opening fraudulent accounts with stolen or fictitious information, collecting the employee sales rewards, and then closing these accounts
Manually modifying sales numbers to increase employee sales rewards
Non Banking Financial Institution
AI-based conflict of interest monitoring clears all Hurdles
Conflict of Interest Monitoring by Scry Analytics ingests data from different sources and detects fraud and is able to process tremendous amount of records of more than 4 million/hour.More Detail
- Advanced AI-based real-time assessment of wire transfers
- Automated screening of beneficiaries against watch lists & sanctioned list and those with high risk score
- Up to 55% incremental fraud detection over business rules
- Automated monitoring of all accounts
- Automation - Prebuilt APIs for ingesting data & for exporting output in various formats
- Multi-stage analysis using Scry’s proprietary algorithms and knowledge graphs) at entity transaction, and network levels)
- Enhancement – Fraud detection in wire transfers has pre-built connectors to online platforms & external data sources for enhancing profiles of customers
Anomalia has been built using
Generic rule-based machine learning
Big data integration
Big data analytics
Key Differentiators &
User Interface and APIs
Pre-built graphical user interface (GUI) & APIs for quick deployment & integration with clients’ existing workflow.
Pre-built financial ontologies & business rules that are dynamically updated to improve the product accuracy over time.
30+ probabilistic spatial and temporal graph algorithms to determine links and connected entities.