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Coffee to Go? Privacy Already Gone

What would you give for a cup of coffee? This video from Cifas shows how people risk identity theft by sharing their Facebook profile with strangers.

This amusing and informative video was made by Cifas, the UK anti-fraud data exchange. It shows how easy it is to collect lots of information about an individual by enticing them with something as innocuous as a social media promotion for a coffee house. The expression on the faces of the customers makes it obvious how little they had considered the risks of allowing strangers to crawl all over their Facebook profiles.

We routinely tell ourselves that data is valuable. However, there is a disconnect between the relaxed way most people give data away and how they feel about that same data being exploited by others. This inconsistency cannot be easily ignored by telcos. It not only poses a threat, because of the potential for identity fraud, but also begs the question of how customers will respond if we go too far when utilizing the information we already collect.

Eric Priezkalns
Eric Priezkalnshttp://revenueprotect.com

During his career, Eric has been a Director of Risk Management for a national telco, the Chief Executive of the Risk & Assurance Group, a Chief Marketing Officer for a software business, a consultant, a public speaker and the publisher of Commsrisk since its launch in 2006. Look here for more about the history of Commsrisk and the role played by Eric.

The comms providers that Eric has worked for include Qatar Telecom, Cable & Wireless, T‑Mobile, Sky and Worldcom. In addition to his proficiency at speaking about the current scamdemic, Eric is also a qualified chartered accountant and a subject matter expert in consumer protection, enterprise risk management, fraud prevention, data integrity and billing accuracy. Eric was the lead author of Revenue Assurance: Expert Opinions for Communications Providers, published by CRC Press. He can be reached through the contact form on this website.

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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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