Log4j Fatigue Is Real, and It's Teaching Us the Wrong Lesson (Sort Of)
Three Log4j patches in under two weeks left security teams exhausted — and exposed a deeper problem: nobody actually knows what's in their software.
If you work anywhere near a security team right now, you’re tired. Log4j patched itself three times in under two weeks — 2.15.0, then 2.16.0, then 2.17.0 — each release fixing a new wrinkle the previous one missed or introduced. By the time the third patch landed, plenty of engineers I’ve talked to had stopped tracking version numbers entirely and just started asking “wait, are we even done yet?”
That exhaustion has a name now: patch fatigue. And it’s a legitimate problem — alert fatigue leads to real mistakes, missed deployments, and teams that start tuning out urgent notices because the last five urgent notices turned out to need a follow-up fix. But I think the fatigue narrative, while true, is burying the more uncomfortable finding from this whole mess.
The real problem wasn’t patching speed
It was inventory. Over and over this month, the hardest part of Log4j response wasn’t applying a fix — it was figuring out where the library even lived. Log4j doesn’t just show up as a top-level dependency in some pom.xml you can grep. It’s nested three, four, five layers deep inside vendor products, internal tools built years ago by people who’ve since left, and third-party services that themselves depend on other vendors. Plenty of organizations spent days just trying to answer “do we use this?” before they could even start on “how do we fix this?”
That’s not a patching problem. That’s a visibility problem, and it’s been quietly getting worse for years as the average application pulls in more and more transitive open-source dependencies without anyone keeping a real ledger of what’s inside.
Why SBOMs are suddenly everyone’s favorite acronym
This is exactly the gap a software bill of materials is supposed to close — a structured, machine-readable manifest of every component, direct and transitive, that goes into a piece of software. In theory, if you’d had accurate SBOMs across your stack before December, the Log4j response would have been a search query instead of a fire drill.
I’d be lying if I said SBOMs were a new idea going into this — people have been pushing for them for a while, especially after some of the software supply chain incidents earlier in the year. But Log4j feels like the moment the argument stopped being theoretical for a lot of security leaders. When your CISO has to explain to leadership why “we don’t know if we’re affected” was an acceptable answer for 48 hours, generating an SBOM stops sounding like extra process and starts sounding like insurance.
I’ll be curious to see how much of this translates into actual tooling and adoption in 2022, versus just conference talk fodder. Standards like SPDX and CycloneDX already exist; the harder part is getting vendors and internal teams to actually produce and maintain them as software changes, not just generate one SBOM and call it done. Patch fatigue will fade once this particular fire is out. The inventory problem won’t fix itself just because we’re tired of hearing about it.