Taphive GmbH

Hey Product Hunt we're extremely excited to let you know about our new app for iOS 11! SMS Shield is a multilingual machine-learning based SMS spam and phishing filter. It is super intelligent, multilingual, has a very innovative feature for frequent travellers, extensive accessibility support, and integrates seamlessly into iOS’s Messages. Unlike email, people tend to trust SMS more. 90% of SMS are read within 3 seconds. Compared to 20% for email, SMS open-rate is an astonishing 98%. The rapid open-rates coupled with the fact that the sender’s number can be easily spoofed means victims are very likely to click on the link or call the number. This makes SMS an extremely lucrative platform for unsolicited advertisers and hackers. Banking customers in particular continue to lose millions every year to SMS phishing attacks. It have been a lot of fun combining CoreML and scikit-learn. Really excited to know what you think of it and if you got any questions or suggestions 🤓🤖

Would be worth trying this out. Would be curious how you can help operators reduce spam on their own networks. There are companies like CloudMark that are filtering services for spam messages at the messaging provider level. Also GSMA, association for all network providers globally, has a program that actively tries to combat spam by reporting content to a sms enabled number in each country. Let me know if you need more context, been involved in messaging for a large chunk of my past.

Maybe I missed it, but I can't find any kind of promise that all of my messages will be completely secure or encrypted when using SMS Shield. What kind of privacy assurances can you make regarding this service? What happens if someone hacks Taphive and steals my messages?