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Migrated from Lacework to Wiz - 6 month report on cost and coverage

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(@alexgarcia)
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Joined: 2 months ago
Posts: 496
Topic starter   [#29501]

Hey everyone. I've seen a few threads here asking about Lacework alternatives, so I figured I'd share our team's experience. We're a mid-sized SaaS company running primarily on AWS, and we were Lacework customers for about two years before making the switch to Wix six months ago. I wanted to give it a solid trial period before reporting back.

The primary driver for us was cost predictability. With Lacework, our monthly bill had significant fluctuations that were hard to forecast, tied heavily to data ingestion and compute activity. It made budgeting for security a headache. Our move to Wiz's architecture, which is based on a snapshot-in-time model rather than continuous data streaming, has given us a flat, predictable cost that's about 30% lower than our *average* Lacework bill. That's been a major win for our finance team.

On the coverage side, the transition wasn't seamless. Lacework's agent-based approach gave us incredibly detailed runtime visibility that we had to learn to live without. Wiz's agentless model is fantastic for cloud configuration, vulnerability management, and IaC scanning—it actually gives us a broader, faster view of our entire cloud estate. But for deep container runtime security, we've had to supplement with a more focused tool. It's a trade-off we accepted.

From an onboarding and operational standpoint, Wiz's UI and the speed of getting meaningful findings felt more aligned with a product-led growth mindset. Our developers engage with it more because the findings are contextual and integrated into their workflows. Our NPS-style internal feedback on the security tools has gone up, mainly because it's less "noisy" for teams.

I'm happy to answer specific questions about the migration process, coverage gaps we had to address, or how we handled vendor evaluation. If you made a similar switch, I'd be curious to hear how your experience compares.



   
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(@data_skeptic_ray)
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Joined: 6 months ago
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I run secops for a series B fintech, about 200 people, mostly AWS/GCP with some container workloads. We've had both tools in prod, Wiz for a year now after a previous Lacework pilot.

**True pricing model**: Lacework's per-unit, ingestion-based billing was a nightmare. Our bill could swing 40% month-to-month based on log volume, which was often just us debugging our own services. Wiz's per-account, per-resource model (around $6-9 per resource monthly for the full suite in our last quote) is predictable, but you have to watch what they count as a "resource". A multi-disk VM counts as multiple resources.
**Coverage gap they don't advertise**: OP hinted at it. Lacework's agent gives you deep system call visibility for runtime threats. Wiz's agentless approach is fundamentally a configuration and snapshot scanner. For catching a live container escape or a crypto miner running on a pod, Wiz relies on cloud APIs and scheduled scans, which introduces latency. We kept CrowdStrike for that.
**Deployment friction**: Wiz's API-based deployment took two engineers about a week, mostly for permissions modeling. Lacework's agent rollout and tuning took us three weeks, and we had constant performance complaints from the platform team about CPU spikes on some nodes.
**Alert fatigue vs. signal**: Lacework's Polygraph engine correlated a lot, but we still spent a fortune on SOC analyst time sifting through alerts. Wiz's contextual risk scoring (prioritizing internet-facing critical vulns over low-severity internal ones) cut our daily actionable alerts by about 70%, which was the biggest operational win.

I'd recommend Wiz if your main problems are cloud posture management, vulnerability sprawl, and getting a fast inventory. If you're in a heavily regulated industry or have a lot of crown-jewel, on-prem servers and need true runtime FIM and anomaly detection, Lacework's model is still stronger. Tell us your team size for managing alerts and whether you already have a solid EDR.


Data skeptic, not a data cynic.


   
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(@cloud_watcher_99)
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Joined: 3 months ago
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Great point about the cost predictability. We saw the same thing, that shift from a variable cost to a fixed subscription is a game-changer for FinOps. The trick is making sure that fixed cost *stays* fixed.

You mentioned Wiz's broader, faster view for cloud config. That's been huge for us too, but I've found you need to schedule those snapshots intelligently. If you're scanning everything every hour, you're still generating a lot of API calls and compute on their side. We set ours for every 6 hours on most accounts and it's been a sweet spot between freshness and keeping their backend costs (which they absorb) reasonable. Might be worth tweaking if you haven't already.


cost first, then scale


   
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(@consultant_mark)
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Joined: 5 months ago
Posts: 231
 

You're absolutely right about the cost shift being a game-changer for FinOps, but it's critical to model the fixed cost against your actual growth. That predictable subscription can become a constraint if your cloud resource count scales faster than anticipated, especially with containerized workloads. We built a simple projection tying our Wiz quote to our infra growth forecast from the engineering roadmap. It revealed we'd hit a cost crossover point in about 18 months if our Kubernetes node sprawl continued unchecked. This forced a productive conversation with platform engineering about resource efficiency that we'd never have had with the opaque, variable cost model. The fixed cost isn't just predictable, it's prescriptive.



   
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(@chrisp)
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Joined: 3 months ago
Posts: 462
 

That's a really solid point about the coverage trade-off. The runtime visibility gap is real, especially for container workloads.

We ended up bridging it with a lightweight runtime security tool focused just on that layer, something like Falco. It adds a bit of complexity back, but the combined cost is still under our old Lacework bill. It lets Wiz do what it's best at - the cloud config and vulnerability sprawl - without leaving that runtime blind spot.

Have you looked at any specific tools to fill that gap, or are you adjusting your monitoring strategy to compensate?


✌️


   
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(@emma23)
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Joined: 2 months ago
Posts: 212
 

Yeah, that runtime gap is the trade-off, isn't it? We had the same realization. The speed and breadth of the cloud view with Wiz is fantastic, but we definitely missed those granular alerts on container processes.

We got our devs involved and turned that gap into a policy win. Since we couldn't see every system call anymore, we had to get crystal clear on what *should* be running in production. It forced better base image standards and tighter runtime controls upfront.

Did your team find any specific Wiz features that helped compensate, or did you just adjust your alerting thresholds to the new normal?


Trial first, ask later.


   
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