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Commsrisk Top Ten for November 2017
Which stories drew the most interest from your peers? These were the ten most popular Commsrisk articles during November.
South African Regulator Issues Data Billing Rules
ICASA's new regulations should indirectly lower the cost of data services. They are likely to be copied by regulators around Africa.
Telstra Budget ISP Triple-Charges Customers
Many customers used Facebook to express their anger at needing to wait for their money to be paid back into their bank accounts.
RAG: From London to Sydney
After a busy series of conferences in 2017, the Risk & Assurance Group (RAG) already has two international events lined up in January and April.
Who Commits Fraud: Toerags or Terrorists?
Two different stories about the beneficiaries of fraud reveal how little is really known by either telcos or law enforcement.
Big Data Machine Learning: Telco Fraud Detection Points the Way
Telcos are turning to unsupervised machine learning to identify new and increasingly complex patterns of criminal behavior.
Ghana Police Says Telco Staff Engage in Mobile Money Fraud
The Director of Ghana's Cyber Crime Unit says fraudsters have attempted to defraud half of the country's mobile money users.
Biometrics and MTN: A World of Possibilities
The South African telco will authenticate postpaid subscribers by deploying fingerprint technology in all of their stores.
5 Great Things That RAG Will Never Do
Attendees of RAG conferences all receive a free lunch, but there are no free lunches in business. RAG works the numbers so you meet more top professionals, but fewer salesmen.
How Will the eSim Impact Fraud Management?
Embedded SIMs will counter some traditional fraud threats whilst creating new kinds of opportunities for ingenious hackers.
Kodi Proven to Lower Your Sperm Count
Journalists and former police officers are helping each other to mislead the public about an easily disputed connection between copyright-infringing software and equipment safety.
The Commsrisk Global Fraud Dashboard

Our Global Fraud Dashboard uses AI-powered search to collate, update and visualize data about scams and other network abuses from around the world. New charts are added each month. See it here.
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