Kinda, but a lot of it’s managing and auditing internal and external access, and maintaining data and source catalogs and crap like that, down to granular levels and across multiple levels of data-cleanup/polish/transformation and reporting. The machine learning/LLM push (biiiiig hype in companies) is making that even messier. The solutions that don’t involve a horrifying amount of DIY are heavily cloud-oriented.
[edit] to editorialize, I also think ~everyone is going to get this very wrong. I think doing this stuff such that you don’t grind productivity to a halt but also don’t have mile-wide vulnerabilities is goddamn near an Apollo Program level of difficult, and basically nobody is treating it that way (and a lot of them would probably sooner abandon their grand mass-data-total-control plans if they had to treat it that way—which is exactly what I think most of them should do, but execs just love the idea of perfect legibility of data and processes end to end on their phone or whatever, even if it’s in-fact just a money-wasting and risk-generating fantasy for most companies)
[edit] to editorialize, I also think ~everyone is going to get this very wrong. I think doing this stuff such that you don’t grind productivity to a halt but also don’t have mile-wide vulnerabilities is goddamn near an Apollo Program level of difficult, and basically nobody is treating it that way (and a lot of them would probably sooner abandon their grand mass-data-total-control plans if they had to treat it that way—which is exactly what I think most of them should do, but execs just love the idea of perfect legibility of data and processes end to end on their phone or whatever, even if it’s in-fact just a money-wasting and risk-generating fantasy for most companies)