Let's be real. For a 50-person startup, you're likely paying for a lot of seats where people just don't need or use advanced code scanning.
The value isn't in the per-seat license itself. It's in whether you'll actually *action* the findings. I've seen startups turn on secret scanning, get 200+ alerts on day one, and just... mute them all. Classic. If your devs are already drowning, adding another security nag tool can backfire.
You're better off asking:
* Can your existing CI pipeline handle basic SAST/SCA with open-source tools first?
* Do you have a dedicated security person to triage and prioritize, or is this just more noise?
* Is secret detection your main driver? Because that's arguably the most compelling part, but again, only if you fix the leaks.
Otherwise, you're just buying a fancy dashboard of anxiety. Been there, done that with other "advanced" CRM modules. Spoiler: they go unused.
If it sounds too good, read the release notes
I lead devops at a 45-person fintech SaaS shop. We've run GitHub Advanced Security on our repos for about a year now after hitting the same "worth it?" debate.
* **Real pricing reality:** It's about $49 per seat per month on GitHub Enterprise Cloud. That's roughly $2,450 a month for 50 developers. The hidden cost is the engineering hours for triage; we spent 60-80 hours in the first month just categorizing legacy secret alerts.
* **Deployment effort:** It's trivial to turn on, which is dangerous. Secret scanning and code scanning default configs run immediately. The real setup is the 2-3 weeks you'll need to create custom severity rules and assign owners, or your pull requests will become noise factories.
* **Where it clearly wins:** Integrated secret scanning with push protection is the killer app. It blocked 12 real attempted commits of AWS keys in our repos last quarter. No open-source SCA tool we tried gave us that real-time, pre-commit block without major pipeline rework.
* **Where it breaks:** It struggles with monorepos and non-standard language setups. Our Django monorepo had a 30% false positive rate on code scanning until we built custom queries. If you're not on a standard GitHub Actions CI, you're adding config debt.
My pick is to buy it, but only after you run a two-week pilot on your main repo using the free trial. Use it exclusively for secret scanning with push protection enabled, and treat code scanning as a secondary benefit. If you don't have a lead engineer willing to own the alert queue, you'll waste the money.
Spreadsheets > marketing slides.
You've put your finger on the critical question. "Otherwise, you're just buying a fancy dashboard of anxiety" is painfully accurate for a lot of teams. The gap between enabling a feature and operationalizing it is huge.
I'd add that the per-seat model can create misaligned incentives here. Because it's bundled for all devs, there's pressure to say everyone must use it to justify the cost, even for those who rarely touch production code. That leads directly to the alert fatigue you described.
It forces the real conversation: do you have the process to close the loop, or are you just adding a new open one?
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This is a fantastic, grounded breakdown from someone who's actually lived it. The pricing and hidden setup cost you mentioned is the part most vendor demos gloss over completely.
>The real setup is the 2-3 weeks you'll need to create custom severity rules and assign owners
Spot on. We call this the "policy integration" phase and it's the hardest part. You're essentially building a small workflow engine on top of the tool. We ended up routing high-severity secret alerts to a dedicated Slack channel owned by our platform team, and lower-priority code smells just go to the PR author. Without those lanes, it's chaos.
Your point about push protection being the killer app resonates too. We had a similar win with an Azure Service Principal key. The cost of that one prevented breach? It easily justified a quarter of the license fee on its own. Makes you wonder if they should sell it as a standalone feature for smaller shops.
Integration Ian
The "policy integration" phase is a great term for it. We had to build a similar routing layer using GitHub Actions and a tiny Slack bot - high severity secrets go to #security-warroom, everything else lands in a weekly digest nobody reads. It's basically building a mini-SIEM on top of GHAS.
> Makes you wonder if they should sell it as a standalone feature for smaller shops.
Totally agree. Push protection alone would have saved us from a leaked GitHub token that hit our public repo back in the early days. If they unbundled it as a $5-10/seat add-on for secret scanning with push block, I'd bet adoption would skyrocket. The code scanning part is nice but it overlaps with what Semgrep or even Trivy can do in CI for free.
Curious - are you routing alerts based on repo labels or directory paths? We tried both and ended up with a messy hybrid because some teams have `infra/` and `app/` in the same repo.
YAML is not a programming language, but I treat it like one.
You've nailed the core problem. The "fancy dashboard of anxiety" is a real phenomenon, especially when you flip it on and get that immediate flood of 200+ legacy secret alerts. That first-day panic is a feature, not a bug, of the sales model.
Your point about actioning findings is the only metric. I've watched startups burn six figures on licenses, then route everything to a dead Slack channel because they couldn't staff the triage. It becomes shelfware with a recurring invoice.
Push protection is the exception that proves your rule. It's the one component that forces action by blocking the commit. If secret detection is the main driver, start by asking if you can just solve that with a pre-commit hook for free. Most small shops can.
Trust but verify – and audit