The NSA has a back door into all of the large Technology platforms at this juncture and essentially purchased access when the DoD awarded the JWCC contract to AWS, Azure, GCP and Oracle in December 2022. Whether it’s MSFT’s Azure Operator Call Protection fraud detection service or any other fraud detection / intrusion prevention service, all of these services are collecting granular usage data to run through their predictive algos. Who knows how many of these vendors are monetizing that data beyond the contracted service. Many vendor agreements will say that PII data is anonymized before it is run through machine learning models for whatever predictive use case, but in practice, who is going to police Google for example when it runs millions of patient medical records through GCP? It is in Google’s interest to append that health data to other PII data it houses about users in order to build a richer and therefore more valuable consumer profile. Yes, panopticon. Although we don’t have to wonder as to whether or not we are being watched.
Isn’t the pricing changes to CC only in certain regions and doesn’t affect all CC customers?
Thanks for the heads-up: https://azure.microsoft.com/en-us/blog/improving-the-cloud-for-telcos-updates-of-microsoft-s-acquisition-of-att-s-network-cloud/
Thank you. I found a bunch of the same articles and posts and will link to them in an article. I agree. There are obvious vulnerable points whether at the edge of the network, the endpoints or resident within AWS, Azure and GCP. The AWS Capital One hack was a great example of AWS not resolving a known vulnerability. https://www.darkreading.com/cyberattacks-data-breaches/capital-one-attacker-exploited-misconfigured-aws-databases
The NSA has a back door into all of the large Technology platforms at this juncture and essentially purchased access when the DoD awarded the JWCC contract to AWS, Azure, GCP and Oracle in December 2022. Whether it’s MSFT’s Azure Operator Call Protection fraud detection service or any other fraud detection / intrusion prevention service, all of these services are collecting granular usage data to run through their predictive algos. Who knows how many of these vendors are monetizing that data beyond the contracted service. Many vendor agreements will say that PII data is anonymized before it is run through machine learning models for whatever predictive use case, but in practice, who is going to police Google for example when it runs millions of patient medical records through GCP? It is in Google’s interest to append that health data to other PII data it houses about users in order to build a richer and therefore more valuable consumer profile. Yes, panopticon. Although we don’t have to wonder as to whether or not we are being watched.