Evendor. Mebone Fraud. Business Development

Transcription

1 Evendor Mebone Fraud Page 1

2 Evendor Evendor Engineering was founded in early It is an IT company, specialized in: Software development. Systems integration. IT research applied to solutions creation. What does Evendor Engineering offer to their customers? It provides services to media companies, electronic payment processors and banks. It proposes solutions for big volumes data handling and data analysis (including fraud detection). It develops software and solutions: Mebone ETL: EII, high performance ETL system. DigitAll: Scanning system for payment card claims. SIED: Electronic system for electronic documents interchange (docs attached to payment card claims) Vroll & MasterCom integrated. Page 2

3 Evendor The company has reached a high expertise on Electronic Payment Systems and their professionals have been a long time working on this specific data analysis (including fraud detection). Evendor Engineering is providing and effective fraud detection engine based on a self-learning mathematically predictive model (Bayesian networks) and advanced analytical tools applied in real-time if required. The stressed spanish s market in the fraud detection areas (cross border, tourist movement, low EMV compliance, ) has imposed a high quality detection to Mebone Fraud system. The Predictive Engine is able to resolve more than inquiries per second, and the Rules Engine is currently analyzing an average of 3,5 million of transaction per day (Sistema 4B is working as Issuer and Acquirer institution). Page 3

4 Some Evendor references Sistema 4B is one of the three electronic payment processors in Spain. Evendor is providing software and services to them since six years ago, covering claims' area on electronic payments, data analysis department and Fraud detection. CECA is another electronic payment processor in Spain. Evendor has developed different pieces of software for them. SIED software allows to transmit electronically the documents associated to card claims. It is additionally interconnected with VISA-VRol and the claims' gateway of MasterCard (MasterCom). Triodos Bank is a leading innovator in sustainable banking. This company has chosen Evendor for developing its card management system. Mebone ETL has played a major role in lowering costs of their projects as effective middleware. BBVA is using Evendor DigitAll for the capture and the storage of documents associated to Chargebacks and Copies Request. The Evendor's software avoids paper handling in these claims' departments. Page 4

5 Mebone Fraud Componets Fraud Fraud ETL Natural Language Editor Analysis and Detection Rules Based Fraud Detection Engine Bayesian Network Based Vertical DB Repository Middleware Input/Outup integration Processes Data Fraud Suite Customer Data Customer Processes Structural Overview Page 5

6 Mebone Fraud Components The natural language editor is a powerful tool for non-technical people. It means the fraud analysts are able to take advantage of their expertise to include new and complex detection rules using their own business language. The mathematically predictive model is based on a high performance Bayesian Networks. Mebone ETL is a middleware able to improve flexibility to the data source and real-time adaptation. Vertical DB is used to isolate the data structure of the global system. All component are able to work together in a positive feedback scheme. Page 6

7 Mebone Fraud Functions Customer Data Highly Efficient Analysis Natural Language Editor Analysis and Detection Rules Based Fraud ETL Middleware Input/Outup integration Alarms Real time processes Real Time Interaction (Auth processes) Fraud detection Engine (Self-learning module) Bayesian Network Based Fraud Case Management Functional Overview Page 7

8 Mebone Fraud Strengths Self-learning anti-fraud engine is able to adapt quickly (hours/days - without stopping detection) to new fraud's patterns. The system allows additionally to show the cause of the fraud's change. Fraud detection engine based on a mathematically predictive model gives a very detailed information about which is the fraud origin and its score. It allows to strengthen the analysts knowledge and their rule set, i.e. positive feedback Intelligence Amplification (IA) Artificial Intelligence (AI). Page 8

9 Mebone Fraud Strengths Natural language analysis interface. It makes it easy for business users to write their own detection rules. Real-time fraud detection. Self-learning mathematically predictive model based on Bayesian Networks. Transparency. The mathematical predictive model explains each contribution to the calculated values (no black box). Low false positives rate. On-line configurable positive threshold. Fast adaptation to fraud s changes (without retrained periods - continuous selflearning). Easy and low cost installation and Integration (external systems, legacy systems, source data) based on its own data mapping strategy Mebone ETL. Pre-configured ruleset for Compromise Point of Purchase (CPP) detection. Page 9

10 Mebone Fraud Road Map Evendor is researching in: Massive data processing. Adaptive Parallel data streams (already beta). Optimization of dynamic Bayesian Network topology and automatic rearrangement. Inference engine based on RETE algorithm. Multi Agent architectures. Quantitative web data collection. Anti-phishing solutions. Page 10

11 Contact Jose M. Alcolea (CEO) Evendor Engineering Calle Basauri, 17. Edificio B Madrid Spain Tel.: Fax: Page 11