This is the sort of absolutism that is so pointless.
At the same time, what's equally frustrating to me is defense without a threat model. "We'll randomize this value so it's harder to guess" without asking who's guessing, how often they can guess, how you'll randomize it, how you'll keep it a secret, etc. "Defense in depth" has become a nonsense term.
The use of memory unsafe languages for parsing untrusted input is just wild. I'm glad that I'm working in a time where I can build all of my parsers and attack surface in Rust and just think way, way less about this.
I'll also link this talk[1], for the millionth time. It's Rob Joyce, chief of the NSA's TAO, talking about how to make NSA's TAO's job harder.
[0] https://arstechnica.com/information-technology/2021/01/hacke...
"only by a nation-state"
This ignores the possibility that the company selling the solution could itself easily defeat the solution.
Google, or another similarly-capitalised company that focuses on computers, could easily succeed in attacking these "user protections".
Further, anyone could potentially hire them to assist. What is to stop this if secrecy is preserved.
We know, for example, that Big Tech companies are motivated by money above all else, and, by-and-large, their revenue does not come from users. It comes from the ability to see into users' lives. Payments made by users for security keys are all but irrelevant when juxtaposed against advertising services revenue derived from personal data mining.
Google has an interest in putting users' minds at ease about the incredible security issues with computers connected to the internet 24/7. The last thing Google wants is for users to be more skeptical of using computers for personal matters that give insight to advertisers.
The comment on that Ars page is more realistic than the article.
Few people have a "nation-state" threat model, but many, many people have the "paying client of Big Tech" threat model.