Adobe believes it has the answer to Netflix's "password sharing" problem affecting up to 46 million people, according to a 2020 study.
TorrentFreak he says:
Adobe believes that since every user is different, any actions taken from an account should be part of a strategy based on data and is designed to “measure, manage and monetize” password sharing.
The company's vision is for platforms like Netflix to develop engineering models learnings to extract patterns of behavior associated with an account. They will then be able to determine how the account is used.
This information will be able to determine what action should be taken against an account and how success or failure can be determined by monitoring an account over the coming weeks or months.
Ignoring the obviously creepy factors for a moment, Adobe's approach is much more complex, even if the accompanying transparency gives a sense of "graded response" to file sharing. The question is how much customer information Adobe would need to ensure that Netflix is targeting the right accounts, with the right actions, at the right time.
Adobe's Account IQ is powered by Adobe Sensei, which in turn acts as a layer of intelligence for the Adobe Experience platform. In theory, Adobe will know more about one streaming account by those who use it, so the company should be able to figure out the most effective path to reduce password sharing and/or monetize it without inconveniencing the account holder.
But if it monitors customer accounts in such great detail, gathering all available information is the obvious next step.
Adobe envisions collecting all the data, such as how many devices are being used, how many people are active, in which geographic locations, device IDs, and much more.
This will then lead to a “likelihood of sharing” conclusion, along with a classification of usage patterns that should identify travelers, commuters, close family and friends, or even a second home.
After collecting all the necessary data, legal services will be able to identify the offending accounts and start preparing their "tiered response" to change behavior. After monetizing those who want to pay, those who refuse to pay can be identified and rejected. Or as Adobe puts it:
“Bring free-loaders back to the available market.”
Τέλος, η Adobe προτείνει επίσης ότι το σύστημά της μπορεί να χρησιμοποιηθεί για τον εντοπισμό πελατών που επιδεικνύουν καλή συμπεριφορά. Αυτοί οι χρήστες θα μπορούν να ανταμειφθούν εξαλείφοντας τις απαιτήσεις control ταυτότητας, τα όρια ταυτόχρονου streaming και τις εγγραφές συσκευών.
