Windows 10: Renewal Cost Fraud??

LoreneSzoke · Sep 4, 2020

I received an email from "Renewal Team" sent from chicherina.ramilya.com stating that renewal of Defender Firewall's "your subscription to Defender Firewall has been successfully renewed and updated." The auto-renewal charge is $199.99.

I called the number, 1-833-542-7887 to cancel.

I was on the phone with a person whose accent sounded Indian.

She requested access to my computer to uninstall the update.

She then told me to stay by the phone for another person who wanted to confirm the transaction. He then started asking me about my bank information.

During this time my computer PCU was accessed by them and and activity was occurring that I thought was the deletion of the Defender program.

When he asked for my bank info, I told him I would not give it to him. I eventually closed the program and told him to discontinue his access to my computer.

I searched for Microsoft Defender Firewall online and saw that it is free.

I checked my credit card accounts and did not see any payments withdrawn.

I want to know if this is a scam, and if you are aware of it.

*** Email address is removed for privacy ***

*** Email address is removed for privacy ***

:)

Don Varnau · Sep 4, 2020

How much is the cost of renewal?

How much is the cost of renewel
Click to expand...

Renewal of what?

Don

Brink · Sep 4, 2020

Microsoft AI solution to detect mobile bank fraud in less than 2 secs

The future of mobile banking is clear. People love their mobile devices and banks are making big investments to enhance their apps with digital features and capabilities. As mobile banking grows, so does the one aspect about it that can be wrenching for customers and banks, mobile device fraud.

Problem: To implement near real-time fraud detection

Most mobile fraud occurs through a compromise called a SIM swap attack in which a mobile number is hacked. The phone number is cloned and the criminal receives all the text messages and calls sent to the victim’s mobile device. Then login credentials are obtained through social engineering, phishing, vishing, or an infected downloaded app. With this information, the criminal can impersonate a bank customer, register for mobile access, and immediately start to request fund transfers and withdrawals.

Artificial Intelligence (AI) models have the potential to dramatically improve fraud detection rates and detection times. One approach is described in the Mobile bank fraud solution guide. It’s a behavioral-based AI approach and can be much more responsive to changing fraud patterns than rules-based or other approaches.

The solution: A pipeline that detects fraud in less than two seconds

Latency and response times are critical in a fraud detection solution. The time it takes a bank to react to a fraudulent transaction translates directly to how much financial loss can be prevented. The sooner the detection takes place, the less the financial loss.

To be effective, detection needs to occur in less than two seconds. This means less than two seconds to process an incoming mobile activity, build a behavioral profile, evaluate the transaction for fraud, and determine if an action needs to be taken. The approach described in this solution is based on:

Feature engineering to create customer and account profiles.

Azure Machine Learning to create a fraud classification model.

Azure PaaS services for real-time event processing and end-to-end workflow.

The architecture: Azure Functions, Azure SQL, and Azure Machine Learning

Most steps in the event processing pipeline start with a call to Azure Functions because functions are serverless, easily scaled out, and can be scheduled.

The power of data in this solution comes from mobile messages that are standardized, joined, and aggregated with historical data to create behavior profiles. This is done using the in-memory technologies in Azure SQL.

Training of a fraud classifier is done with Azure Machine Learning Studio (AML Studio) and custom R code to create account level metrics.

Recommended next steps

Read the Mobile bank fraud solution guide to learn details on the architecture of the solution. The guide explains the logic and concepts and gets you to the next stage in implementing a mobile bank fraud detection solution. We hope you find this helpful and we welcome your feedback.
Click to expand...

Source: Two seconds to take a bite out of mobile bank fraud with Artificial Intelligence | Blog | Microsoft Azure

Jsssssssss · Sep 4, 2020

fraud

Yes, that's a fraud and you were scammed.

See
Bruce Hagen's reply to you in your
other thread on same topic.

FYI: Both of your threads will soon be merged by a moderator.

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