Anomalia® AI-powered Real-time Monitoring to Detect Employee Fraud

Anomalia® Employee Fraud Detection is an integrated real-time internal fraud detection solution that can discern inappropriate employee activity with its machine learning and advanced analytics. Its proprietary algorithms can automate several steps such as pre-processing, cleansing and harmonizing transactional data that enable the identification of employee fraud situation in nimbler and more economical manner. This software app identifies patterns related to all transactions and relationships, employee behavior, segmentation of employee into cohorts, and various internal and external documents including KYC documents and emails.

Key Features

Expand All Collaspe All
Anomaly Detection
Library of 25+ proprietary supervised & unsupervised algorithms, pre-trained & tested for our products
External Data Enrichment
40+ scrapers & connectors for ingesting web & paid data subscriptions, e.g., news, social media, traffic, geo-location, sanction lists
Domain Ontologies
Prebuilt financial ontologies & business rules that will improve over time
Knowledge Graphs
30+ probabilistic spatial & temporal graph algorithms to determine links & connected entities
Reinforcement Learning
In-built reinforcement learning algorithms that improves our products’ performance over time “with & without a human loop
Reverse Engineering
60+ proprietary AI algorithms to identify transformations & business rules and to fix errors
User Interface and APIs
Pre-built graphical user interface (GUI) & APIs for quick deployment & integration with clients’ workflows
Cleansing & Harmonization
60+ algorithms for cleansing, harmonizing & validating data from internal & external sources in 30+ formats, e.g., JPEG, video, PDFs
Product Accuracy
Upto 96% accuracy that improves over time with prebuilt ontologies & reinforcement learning
Deployment & Scalability
Highly scalable with parallel & distributed computing with options to deploy on-premise or consume as SaaS
Data Governance
Provides role-based access & sends alerts for exceptions to strategies, policies & compliance guidelines
Time & Cost
Upto 75% improvement in time & cost over the current manual process

Feature Rich Solution to identify Employee Fraud

Anomalia®has a number of advanced features for dynamic risk scoring and assessment of employee fraud detection. Its key capabilities are:

  • Monitors customer accounts for suspicious activity such as skimming funds
  • Determines anomalies and potential employee fraud activities
  • Uses 350+ features to generate out-sorts
  • Incorporate business rules and generates alerts within minutes
  • Provides real-time risk alerts based on several factors including employees, customers, and transactions
  • Culls attributes from various data sources including transactions, employee behavior and documents
  • Improves over time by using reinforcement learning via human intelligence and machine learning

Usage of Anomalia®

    Extract Information related to:
  • Monitoring customer accounts for activity
  • Skimming funds from inactive, unmonitored accounts
  • Transferring refunded charges to their personal accounts
  • Opening fraudulent accounts with fictitious information
  • Manually modifying sales numbers to enhance employee rewards

Anomalia® Serves

  • Retail and commercial banks
  • Credit unions
  • Investment banks
  • Asset management companies
  • Non-banking financial institutions
  • Law firms
  • Private equity and venture capital firms
For product brochures, demos and sandboxes Contact Us