This is a fantastic example of applying deception strategies in practice as part of a detection & response plan. The most common use case is as a canary, but it absolutely works as evidence of compromise, too.
I won't comment on the specifics of the case (the complaint comes across as very convincing), but I will remind people that it's common for investigations to ostensibly show an employee doing bad things, when in reality it's e.g. that employee's credentials/devices that are compromised.
Re: hashing: Yes, but I'll leave that one to Paul who is a lot smarter than I am :)
Re: QA: can you say a bit more about the type of coverage you're worried about? Is your concern that we'd be missing APIs, or that the storage format itself breaks, resulting in fact elision? payne (the underlying project) has a borderline obnoxious amount of tests, but that doesn't mean we didn't miss anything :)
FYI: we're planning a followup post for people who are less interested in the Datomic mechanics and more interested in the usefulness to investigations and other security functions. Informally, I think of it this way: your SIEM has the deltas, but often you want the contextual states in between the deltas (and a lot of investigation is about trying to reason about that state). We built this tool originally to support that, and it turned out that approach was also super useful for things like compliance, CSPM...
(I'm one of the founders of Latacora and reviewed the post.) If any of you are at Heart of Clojure, I'll be there both wearing my Latacora hat and my Clojurists Together hat :)
I don't know if I count as a "feline friend", but: SIDH kept the DH shape. Being able to upgrade the protocols we had relatively closely is appealing. "Structure is useful but seems precarious" wasn't exactly secret knowledge.
We did an updated version of the Cryptographic Right Answers for PQC. Given how quick the field is moving, I'm sure we're going to have to edit it a bunch :)
We're talking about chips: stuff optimized for inference and training. It may have a lot of memory, it may be able to perform a lot of operations, but it would be difficult for it to enforce high-level concepts like "woke ChatGPT".
They may often be used with small embedded computers, but 1 Coral TPU handily beats even a top-end CPU for the stuff Frigate needs it to do -- and it does it at minuscule power draw. Sure, it's inference-focused, and that means it has limitations: it sucks for e.g. speech models, too. But it's pretty great at what it does and gets used in real applications too. My guess is you saw the USB-C model, but they do M2, big cards with multiple M2 slots, and miniPCIe (popular in industrial applications) too.
My daily driver is a 1986 911 Turbo (aka the 930). That's a nearly 40 year old car, they make a similar new infotainment system that works for even older cars. Thing runs like a dream, and they tried very hard to make it "fit" in the old interior even though it clearly had completely different design constraints.