T-mobile
Arelion
KT
Telefonica
Airtel
GSMA

Functionality

Detection and analyze illegal SMS traffic of various types
Detection and analyze illegal SMS traffic of various types
SMS Faking, SMS Spoofing, SMS Smishing, Fraud
Configuration of settings via GUI
Configuration of settings via GUI
(routes, links)
Subscriber data protection
Subscriber data protection
(IMSI, MSC, VLR Number, MSC Number, HLR Humber)
Filter rules groups and structures, the ability to use rules combinations
Filter rules groups and structures, the ability to use rules combinations
Monitoring SMPP/SS7 interconnect traffic
Monitoring SMPP/SS7 interconnect traffic
AND, OR, NOT statements in rules
AND, OR, NOT statements in rules
SMS traffic analyze by AI technologies
SMS traffic analyze by AI technologies
Monitoring MO messages
Monitoring MO messages
API for black/white lists and blocking rules creation
API for black/white lists and blocking rules creation
Analyze SS7 traffic
Analyze SS7 traffic
(SRI, reports, etc.)

Our A2P SMS experience

10+
Years of experience
500+
Partners globally
50+
Million of A2P SMS daily
800+
Mobile networks worldwide
Reporting tools

Reporting tools

  • Monitor SS7 traffic
  • Monitor AlphaNames from SS7
  • Monitor SMPP traffic
  • Monitor SMPP traffic by SME
  • Generate diagrams for SS7/SMPP
  • Download SS7/SMPP statistics (csv/excel)
  • Generate online table with filters SS7/SMPP
  • Using filters for different parameters (configurable reports)
Filtering options

Filtering options

  • GT blocking/Sender number blocking
  • Filtering by keywords
  • Duplicate messages filtering
  • Extended filtering options by Lua scripts
  • Filtering rules can be created by AI technologies
Report generation

Report generation

Display message

Display message

Configure filters by:

  • Origination/Destination
  • Date range: Any time range
  • Message text
  • Message source (SMPP - SME/SS7 - GT)
  • Message result: Success/Error Code
  • Output format: CSV/Table/Excel
AI module (coming soon)

AI module (coming soon)

Visual representation of subscriber behavioral in the form of graphs:

Example 1. Live communication between 28 people. All topics are different, a small degree of similarity = 0.0756.
Example 2. Spam to 209 numbers. Message similarity within the selected group = 0.99
  • Grey routes detection
  • Spam detection not covered by filter rules.

AI development involves the full range of the latest technologies and scientific achievements. The AI module brings traffic analysis to a qualitatively new level.

Traffic Analysis Results

Traffic Analysis Results

During the analyze process, the system decides whether to deliver or block the message. As a result, the following actions can be performed:

Different options

Platform for MT SMS processing only SMPP+SS7
Platform for MT SMS processing only SMPP+SS7
Platform with own SMSC for MO traffic processing
Platform with own SMSC for MO traffic processing
Platform with SS7 traffic processing. Optional STP can be supplied
Platform with SS7 traffic processing. Optional STP can be supplied
Platform with AI Module for deep analyze
Platform with AI Module for deep analyze
Implementation process
Implementation process
Experience with other systems and software
Systems
Providers
MSC/MSS, HLR/HSS, STP/ ITP
Huawei, Ericsson, Nokia, ZTE, Cisco, Alcatel, Nortel, Delta Solutions
Billing
Nexign, Foris, HP, CBOSS, Bercut, Comverse, Ensemble (AmDocs), NVision (Sitronics), Asia Info and others
VAS platforms
Protei, Unifun, Openmind, Eastwind, Mavenir, CBOSS, Bercut, ORGA, Lucent, Aicent, Mobico, Nokia, Siemens Networks, Sitronics, Ericsson, Telenity, Synapse, Comverse, Acision (Xura), Mediafon, Sicap
Experience with other systems and software
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