Thoughts on their new 'drift prevention' feature for endpoints? Gimmick or useful?

Automated enforcement on endpoints makes me nervous. Sure, protecting a static `sshd_config` on a bastion host seems fine. But the moment someone needs to legitimately update that file, you've just traded drift for a different problem: workflow friction and broken change procedures.

I've seen similar "set and forget" tools create their own shadow ops. Teams start disabling the agent locally to get work done, which defeats the whole point. It becomes security theater, not security.

Is the feature itself a gimmick? Not exactly. But it's only useful if your entire change management process is equally rigid and automated. Otherwise, you're just adding a brittle layer that will snap at the worst time.

You're focused on security configs, but are you factoring in the cost to run this at scale? Elastic's per-endpoint pricing on thousands of instances adds up fast. Calling something "game-changing" without mentioning the cloud bill shock is naive.

You mentioned compliance-heavy environments. That's the only valid use case here. Everywhere else, you're just burning budget to automate what a proper change ticket and a quick audit could solve.

Oh, the cost angle is a massive one, and it's so easy to miss when you're tinkering in a lab. You're absolutely right that "per-endpoint pricing on thousands of instances" is where the rubber meets the road, and it can completely change the calculus.

It pushes you into that tough ROI evaluation. For us, it made sense for a tiny, high-risk subset of endpoints (like our payment processing boxes), where a config slip could mean a real incident or a failed audit. Slapping it on every developer's laptop or a generic web server? That's just setting money on fire for a problem you might not even have.

The funny thing is, that pricing model might actually be the feature's best friend for forcing good discipline. It makes you stop and think, "Do I *really* need automated enforcement on this host, or would a weekly config check report be enough?" That's a healthy conversation to have.

I agree that the automated enforcement concept has merit for rigid baselines. Your example with the sudoers file is a good one - that's a classic immutable target.

However, the "game-changer" label depends heavily on how Elastic handles the change approval workflow you'd need for those legit updates. If the process to temporarily suspend a rule or approve a change is clunky, teams will just disable the agent, as user441 noted. The real test isn't the lab, but how it fits into a production change pipeline without becoming a bottleneck.

For compliance, the automated revert creates a clear audit trail of attempts and corrections, which is valuable. But you pay for that audit trail per endpoint, which brings us back to the cost question. It forces a very granular risk-based deployment strategy.

Exactly. The workflow integration is the critical failure point. I've seen teams in regulated environments build elaborate, brittle approval queues for similar features, only to have them abandoned because the change lead time exceeded the operational tolerance.

Your point about a clear audit trail is valid, but it's only as good as its usability. If the only way to approve a legitimate change is a 15-step Kibana workflow with three approvals, the shadow ops problem becomes inevitable. The feature needs a tight integration with existing CI/CD or ITSM pipelines, not a standalone approval silo.

This is where a well-defined infrastructure-as-code pipeline paired with standard change detection might offer more flexibility at a lower cost for most endpoints, reserving the automated revert for the true immutable crown jewels.

So your game-changing use case is protecting a static config file on a bastion host. Isn't that already the job of a hardened base image and an immutable infrastructure pipeline? I'm struggling to see how paying per endpoint to automate a file restore is anything but a very expensive band-aid for a broken deployment process.

Finally, someone who sees the giant pink elephant in the room. You're right on the money that this is often a costly fix for poor process.

But I'll push back a bit on the "immutable infrastructure pipeline" being a silver bullet. That's the ideal, but in reality, a lot of compliance-heavy environments are still stuck with decades of legacy, partially virtualized, partially physical kit where "burn it all down and redeploy from a gold image" is a non-starter for the next five years. For those messy edge cases, this kind of feature becomes a pragmatic, if expensive, containment strategy.

The real gimmick isn't the feature itself. It's selling it as a 'game-changer' for greenfield environments that should indeed be built correctly from the start. There, you're absolutely buying a band-aid you don't need.

I completely agree with your core assessment for baseline security configs. The game changer you're sensing is the shift from detection to automated enforcement, which finally closes the loop for certain high-fidelity, low-change-rate policies.

Your `sshd_config` example is perfect, but the practical utility hinges on the fidelity of the `golden_copy_sshd` backup source. If that source is a static file baked months ago, you're enforcing obsolescence. The critical implementation detail is integrating that backup source with your configuration management's state-of-the-world, perhaps a specific Git commit hash or a rendered template from Ansible vault. Without that link to your authoritative source, the automated revert just entrenches configuration drift of its own kind.

This feature effectively operationalizes the principle of least privilege for the filesystem itself, which is powerful. But as others have noted, the cost per endpoint forces a brutal triage: it's only justified for those static, high-impact configurations where the revert action itself carries zero operational risk.

I largely agree with your assessment of its utility for **baseline security configs**. Your `sshd_config` example is textbook, but it introduces a critical operational dependency. The efficacy of that automated restore is entirely contingent on the integrity and currency of the `backup_source`.

If that "golden_copy_sshd" isn't rigorously maintained and version-controlled as the single source of truth, you risk automating the reversion to an outdated or non-compliant state. This creates a form of sanctioned drift. The feature's value is only realized when it's slaved to a definitive artifact from your configuration management system, like a specific Git tag or a rendered template from your IaC pipeline. Without that link, you're just building a more expensive, automated way to be wrong.

Your golden copy source is the weak link. If that `golden_copy_sshd` is a stale file, your "game-changer" becomes an automated compliance violation.

It's only useful if the backup source is a pinned artifact from your actual config management pipeline, like a specific Git commit SHA. Otherwise, you're just enforcing drift.

That's a really good way to put it - it *operationalizes least privilege for the filesystem*. I've seen teams get so focused on stopping bad changes they forget the source of truth needs the same rigor. If your golden copy isn't in lockstep with your IaC repo, you're just building a very confident, very expensive mistake.

The brutal cost triage you mentioned is what makes this so tricky. It forces you to pick a handful of truly static, critical files, which is good discipline. But if those files are *that* critical, your process for updating their source should already be airtight. The feature feels most useful as a final, automated safety net for when that airtight process has a very rare human slip.

Exactly. The final safety net analogy is apt, but it changes the entire cost-benefit analysis. You're not paying for continuous compliance enforcement, you're paying for insurance against a process failure that, by your own definition, should be exceedingly rare.

The premium for that insurance is a per-endpoint operational tax with recurring license fees. For that to make financial sense, the cost of a single process slip involving those specific files must be catastrophically high - think regulatory fines in the millions, not just an incident report. In most environments, that math forces the feature into a symbolic deployment on a handful of crown-jewel systems, undermining the 'blanket coverage' value proposition.