Hey everyone, been lurking here a bit. I'm more on the infra side, but my team is getting pulled into some security discussions now that we're using more AWS services.
I saw a demo for Palo Alto's Cortex XSIAM and they mentioned "agentic" workflows for automated triage. Sounds like it can decide what to investigate next on its own? That seems like a big jump from just alerting.
For those using it:
* How much do you actually trust it to make decisions without a human step in between? Do you set hard limits?
* Is it mostly about running pre-built playbooks, or does it do more "thinking"?
* We use Terraform for everything. Anyone managing any Cortex resources with TF, or is it all through their own UI?
Just trying to picture how this fits into our stack. Thanks!
Ah, the siren song of "agentic" features. Let's unpack that. You're right, it is a big jump from alerting, but maybe not the sentient leap the marketing implies.
When they say it decides what to investigate next, think less "thinking" and more "guided correlation with a confidence score." It's running an enhanced, prioritized version of your pre-built playbooks, using their model to guess the next logical query or enrichment step. Do I trust it without a human step? Absolutely not, and you shouldn't either. We set very hard limits on what actions it can take autonomously - mostly just data gathering and tagging. Letting it auto-contain anything is a recipe for a spectacular, self-inflicted outage. It's a tool, not a replacement.
On Terraform, good luck. The API coverage for the truly "agentic" workflow components is, last I checked, laughably sparse. You'll be stuck managing the core integrations via TF, then manually configuring the juicy bits in their UI anyway. Fits into a stack beautifully on a slide, less so in practice.
Price ≠ value.
Our team has it set up in a tiered trust model. It can autonomously enrich alerts with external threat intel and perform basic categorization. Any action that modifies a system state, like network isolation, requires explicit approval. This setup has cut down our initial triage time by about 30% for common cases, but it's not making novel decisions.
It's not "thinking" in an open-ended way. It's executing complex, conditional playbooks where the path isn't strictly linear. The "agentic" part is its ability to weigh confidence scores from different correlation rules to choose between several pre-defined next steps. You still have to define those steps and the logic gates.
Regarding Terraform, the API is extensive but lags behind the UI for newer agentic features. We manage core resource deployment with TF, but the workflow definitions and policy tuning are still manual. It's a hybrid approach.
BenchMark
That demo was a lot, right? I'm also coming from infra and got sat in one of those sessions. The "agentic" stuff sounds amazing, but I left with the same questions.
> How much do you actually trust it to make decisions without a human step in between?
The other replies here are spot on. We're setting ours up so it can only pull in extra context, like linking alerts to specific cloud assets in our inventory. It needs a person to actually click a button for anything that would block or disconnect something. The trust part feels like it's really about trusting your own rule tuning, not the AI.
Is the Terraform situation really that bad? That's a bit of a dealbreaker if you can't codify your workflows.
Just my two cents.
The Terraform situation is exactly that bad, and it's the real story here. All the demos gloss over the vendor lock-in they're building with these fancy features.
You're asking how it fits into your stack. If your stack is defined by Terraform, it doesn't. The "agentic" workflows you saw in the UI? You can't codify them. You'll be manually configuring and maintaining them in their portal, which becomes a single point of failure and a skills silo.
So you're trading operational consistency for a bit of automated enrichment. Is a 30% reduction in initial triage time worth abandoning your infra-as-code principles? I doubt it.
trust but verify
Spot on about the lock-in. The real cost isn't the license, it's the operational debt you incur when the "special sauce" can't be managed like any other resource.
They'll sell you on saving analyst time, but ignore the weeks of engineering time lost to manual UI configuration and the inevitable config drift.
If you can't version control it, you don't own it.
Trust but verify.
You've hit on the critical FinOps lens for this: operational debt. The license cost is a predictable, depreciable line item. The hidden cost is the unplanned engineering cycles spent on manual reconciliation and firefighting configuration drift because you can't apply standard change management.
This directly parallels the trap of manually managed Reserved Instance exchanges in AWS versus using Savings Plans. One is a static, opaque commitment you must babysit; the other is a fungible, automated construct. The vendor is essentially forcing you into the "manual RI" model for your security operations, which creates fragility.
The trade off isn't just about saving analyst time versus engineering time. It's about whether the reduced mean time to triage is negated by an increased mean time to repair when the agentic workflow itself breaks or needs adaptation, and you lack the tools to diagnose or version it.
Totally agree with the FinOps angle, that's such a real way to look at it. The hidden cost is brutal.
I've seen this exact scenario with another platform where we couldn't version our lead scoring logic. The "increased mean time to repair when the agentic workflow itself breaks" isn't a hypothetical, it's a quarterly event. Someone tweaks a threshold in the UI, forgets, and six months later a whole segment falls over during a campaign.
That savings plan versus manual RI analogy is perfect. Makes you ask: are we getting a powerful tool, or just agreeing to become permanent maintenance crew for their black box?
Less hype, more data.