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

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

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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