Anomalia® Automated AML Software Reduces False Positives

Anomalia® Anti Money Laundering is an AI-based solution that significantly reduces false positives among suspected money laundering transactions through a multidimensional approach of utilizing an ensemble of advanced machine learning, NLP and knowledge graph algorithms. Anomalia’s Data Engineering & NLP Engine can identify anomalous activities in customer behavior across various banking products and alert analysts. It automates enhanced due diligence by intelligent collation of external data points along with internal attributes for a richer 360o view of customer profiles.

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 AML activities

Anomalia®has a number of advanced features to determine identify and flag AML activities:

  • Generates Single Source of Truth for extracted entities using Scry’s existing dataset & external sources
  • Automated enhanced due diligence by intelligent collation of external data points
  • Multi-stage analysis using Scry’s knowledge graph at entity level, transaction level and network level
  • Dynamic risk scoring – Advanced AI-based real-time assessment of customer, transactions and related entities
  • Supervised learning – Models incorporate learning from analyst feedback, improving performance over time
  • Reduce cost by streamlining processes, real time data aggregation and automated monitoring of customer’s activities
  • Improved customer experience and interpretability through explainable and dynamic visualization dashboards

Usage of Anomalia®

  • Entity resolution across databases
  • Determining authenticity of checks
  • Geo-spatial risks related to mobile checks
  • Identifying accounts that are more at risk due to fraud in Remote Deposit Capture (RDC)

Anomalia® Serves

  • Retail and commercial banks
  • Credit unions
  • Investment banks
  • Asset management companies
  • Non-banking financial institutions
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