ZIRA Fraud Management

Automated online actions for instant fraud detection and prevention

ZIRA Fraud Management has wide variety of unique, state-of-the-art fraud detection and prevention technologies that new subscriber evaluation; best in class network traffic and usage online monitoring, is deliberately developed for easy use and comprehensive coverage, helping operator to timely detect and prevent of fraud events. ZIRA FM uses intelligent and unique detection technology while monitoring multiple data feeds to allow diversified fraud types protection including geo-mapping and linking occurrence analysis .

Flexible Data Acquisition

Processing of different data types and formats. 
Multiprotocol support. 
Raw data validation, normalization and enrichment. 
Retail / Interconnect rater as add-on component. 
High performance lookup component with different matching algorithm.
Data Aggregation per run or period.
Pre-defined sets of rule/format templates.
Test run with live data preview.

Flexible Data Acquisition ZIRA
Intelligent Alarm Generation ZIRA

Intelligent Alarm Generation

ZIRA’s intelligent alarm generation upon rule based events detection supports assignment for either automate or manual actions.

Key Features:

User/analysis defined views.
Configurable severity.
Click-based drill-down to events and raw CDR (root-cause analysis).
Configurable Alarm actions.
Automatic and manual event assigning to Case/User.
Alarm tracking & Event history.

Link Analysis

Link Analysis facilitates Social Network Data Analysis principles of quantitative or qualitative analysis considering call details, consumers and network data for establishing connections and relationships between people and events. The tool simplifies fraud investigation and provides CSPs with real-time insight to data patterns related to organized crime ring activities. ZIRA RM uses diversified traffic and customer related attributes as well as different relationship types for modelling multi-relational telecommunication social network. This model is constructed considering the multiple relations as frequency of call, volume of call duration, address, name etc.

Key Features:

Simplified fraud investigation.
Quantitative and qualitative analysis of CDRs, customers & network data.
Modelling of multi-relational telecommunication social network.
Establishing relationships between people and events.
Detecting of data patterns related to organized crime activities.
Link Analysis preview – follow suspicious subscribers on Web, Google Map, Facebook, LinkedIn, Twitter,…

Link Analysis ZIRA
Advanced Scoring ZIRA

Advanced Scoring

Advanced Scoring ZIRA FMS use different algorithms (Random Forest, RMR) in order to calculate different scores (fraud detection related as well as customer/partner related).

Key Features:

Grading customer’s behaviour: normal to extremely risky
Grading risk of certain application items as events, rules, and etc.
Two dimensional behaviour scoring: IRG & ARG
IRG: Fraudulent risk per subscriber (personal behaviour)
ARG: Fraudulent risk per subscriber (payment behaviour)
FARG: average total IRG & ARG for overall scoring
Rule Accuracy monitoring – based on Case resolution outcomes
All scores in system have range from 0 to 9, where 0 represents none of risk and 9 the highest risk

Key Benefits:

Using Calculated Risk Scores in post-detection in order to reduce false positives.
Predict problematic payment behaviour of subscriber.
According to score, you can determine whether is subscriber creditworthy or not.
Special scoring methodology for new subscribers.
There is no subscriber who cannot be measured in ZIRA FM.

Easy Detection Rule Configuration

Detection process in ZIRA FM is based on analysis of xDRs, subscribers and network data. Detection Rule(s) definition can be related to certain (pre)configured Customer Profile for particular services or related to custom tailored specifics. Additionally, ZIRA FM provides Statistical Thresholds Definition upon an average usage for particular period of time.

Key Features:

Detection Rule Classification.
Up to 5 identifications (entity) for cross-conditional controls.
Logical statements support.
Post-detection analysis for false positive reducing.
Dynamic, Visual, Drag & Drop flow-through configuration.
SQL using enabled in post-detection analysis for advanced user.

Easy Detection Rule Configuration ZIRA
Smart Case Management ZIRA

Smart Case Management

Developed as a tool for monitoring and investigation, Intelligent Case Management provides grouping of related alarms upon category or attributes assigned, distinguishing newly generated alarms and automatically merge into corresponding case (or correlated existing cases). The Case Process workflow can be customized easily adopting the business processes and SLAs of the organization.

Key Features:

Search and sort cases on the fly.
Filtering based on single/multiple conditions.
Case assigning and change case responsibility.
Case lifecycle tracking.
Event or group of events referencing.
Manual and automated actions:
– automatic reminders on cases;
– notification through SMS or Email;
Full credential granularity (Team, member, supervisor etc.).
Case responsible monitoring & automate reporting.
Reporting, data export, printing.
Archive cases.

 

Customer Profiling

Customer Profiling method designed and facilitated to automatically discover deviations from standard (configurable attribute definition) behaviour at individual level also supporting adaptive fraud detection. Profile based processing enables more precise Fraud detection that increase overall accuracy of the system. These techniques are based on behavioral model creation. Generally, this approach complements rule based model and improve understanding of the entities such as customer, dealers, and sales channels. The main goal of these techniques is to detect deviations of normal behaviour through the compare of calculated Signature with Fraud Signatures that can be analyzed and monitored through the time.

Customer Profiling ZIRA

ZIRA FMS Control Framework

ZIRA FMS Fraud types

 

ZIRA FMS detects the following fraud

types in the telco domain through all network and services

Related Topics

ZIRA Fraud Management

ZIRA Fraud Management solution uses intelligent and unique detection methods and technology for fraudulent events monitoring and prevention across all Telco business domains and services: wireline, wireless, xDSL, interconnect, prepaid, VAS, VoIP, roaming, voicemail, SMS/MMS/UM etc. including different origin segmentation: Subscriber, Dealer, Content Provider, or Internal.

Turk Telekom Case Study

ZIRA Fraud Management is bringing immediate benefits to operators with its ability to detect and prevent fraudulent subscriber behaviour and network abuse in near-real time, uncover new fraud patterns, increase internal controls, protect the operator’s revenue, profitability and reputation.

ZIRA Risk Management 6.0 Video

ZIRA Risk Management, is deliberately designed to help Operators regain deep insight and complete control through the entire revenue value chain, comprising the RA and FM controls, business processes, platform technology, and directly addressing Operators strategy objectives.

        Contact Us

ZIRA Headquarters
Fra Anđela Zvizdovića 1
UNITIC Business Tower A/5
Sarajevo, Bosnia & Herzegovina

About Us

For over 22 years, ZIRA has been a leading vendor of innovative BSS solutions for customer, revenue and risk management covering the full order to cash process for retail and wholesale billing.

Working with 50+ telecommunication operators across 22 countries, ZIRA implements integrated and flexible modular solutions to protect legacy investments, reduce the risk and cost of implementation and meet customers’ unique needs.

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