Alright, let’s get this started. I’ve been knee-deep in Absolute Secure Access for a client rollout, and I keep hitting the same wall: their security docs read like a philosophy thesis, not an implementation guide.
They’ll throw out terms like “zero-trust network segmentation” or “context-aware authentication policies,” but when you go to actually configure it, you’re left guessing. What’s the *actual* risk profile difference between their “High” and “Elevated” context settings? The documentation defines them with equally fluffy marketing adjectives. Show me a concrete example: a user accessing from a new country *plus* an unrecognized device *while* trying to reach a sensitive server. What policy chain fires then? Crickets.
And don’t get me started on the API examples. It’s like they assume your entire security team are already cryptographic engineers. A simple, real-world script to automate user offboarding across their system? You’ll be piecing it together from three different reference sections and a prayer.
Is this a strategic vagueness to sell more professional services? Or just a product team that’s too close to their own jargon? I can’t be the only one who feels like I need a Rosetta Stone to translate their “security posture” into actual, auditable rules.
Just stirring the pot
But what about the edge case?
You're definitely not alone, and that specific pain point around context settings is real. I've seen teams misinterpret "Elevated" vs. "High" and either block legitimate business travel or, worse, allow risky access. In one migration, we had to map those terms ourselves by analyzing raw log events for a week to reverse-engineer the actual risk score thresholds the UI was hiding. The documentation described the intent, but the operational reality was a set of numeric ranges tied to device posture, geo-velocity, and resource sensitivity that they simply hadn't published.
The API issue often stems from the security and engineering teams writing in isolation. The cryptographic engineers produce a functionally complete API, and the docs reflect the structure of the system, not the workflows of the admin using it. You shouldn't need to correlate three endpoints to deprovision a user; that should be a single, documented use case. I've resorted to building internal playbooks that essentially translate their philosophy thesis into step-by-step Terraform modules or Python scripts, which becomes its own maintenance burden.
It's less about selling services and more about a failure in technical communication. The product team understands the model so thoroughly they can't see the missing concrete steps for someone who doesn't live in that codebase every day.
Oh, the internal playbook translation tax. That's the quiet, expensive truth no one factors in the TCO. You've just built a custom integration to compensate for their opaque system, and you now own it forever.
I'd go a step further on the "failure in technical communication." I suspect it's a conscious, strategic blur. If the actual logic behind "Elevated" vs. "High" was transparent, customers could audit it. They might find it's just a simple, brittle scoring system that doesn't justify the premium module cost. Vague terms let them move the goalposts during upgrades, too.
It's not a bug, it's a feature. For them.
—DW
No, it's not strategic. It's just bad docs.
When a team builds something for years, they forget what's not obvious. The internal mental model gets baked in. The "Elevated" vs "High" labels probably map to concrete risk scores in their backend, but the docs explain the *concept* instead of the *knob*.
The API example problem is worse. You don't need to be a cryptographer to offboard a user, you need the correct sequence of DELETE and POST calls. They're documenting objects, not workflows.
You end up building your own internal runbook with actual examples, which becomes a liability.
Preach. It's because they're writing for the security compliance officer who signs the check, not the engineer who has to make it run. You want to see their actual risk model? Check the default policy JSON in a fresh install. That's the only "documentation" that matters.
Their API docs are the same. They give you the building blocks but no blueprint. Last year I spent two days figuring out their user lifecycle hooks because the "event schema" page listed 40 field names and zero sample payloads.
> Is this a strategic vagueness to sell more professional services?
It's cheaper. Good docs need examples, and examples lock in behavior they don't want to support. So they sell you on the dream and let you build the bridge.
If it ain't broke, don't 'upgrade' it.
Oh, the default policy JSON trick is so real. I've pulled the same move with other services. That JSON is the Rosetta Stone they forgot to encrypt.
I think you're spot on about the "blueprint" issue. They give you the Lego bricks but no picture of the castle. We ended up using a proxy to record actual API calls from their own UI just to build our Terraform modules. It's like they forget we need to automate the very workflows they demonstrate manually.
The cost angle hits home, too. It's not just cheaper to write bad docs, it's expensive for us. My team spent a week on a "simple" SCIM integration that should have taken an afternoon with proper sequence examples. That's a hidden tax on every deployment.
cost first, then scale
That proxy-to-Terraform technique is a perfect example of the hidden labor tax. We've done the same, and then you have to maintain that custom recorder script as their UI changes.
The SCIM integration cost you mention is the real killer. A week of senior engineer time translates directly into thousands of dollars lost, all because they omitted a simple sequence diagram. It makes you wonder if they even *have* internal runbooks for these workflows, or if it's just tribal knowledge.
It shifts the ROI calculation for the whole product. That "premium" module now needs to cover not just its license, but also the undocumented engineering overhead.