Just wasted three months running a PoC on these three. The sales decks all look the same. The only thing that matters is what you can actually query, how noisy the alerts are, and what it costs to cover our hybrid environment.
We built a test workload (AWS + GCP, containers, serverless, some on-prem VMs) and fed them identical traffic and vulnerability scans for 30 days. Here's the summarized output we measured.
**Environment Scope:**
* 500 cloud instances (mix of EC2, GCE)
* 120 containerized services (EKS, GKE)
* 25 serverless functions
* 2,000 total cloud resources (S3 buckets, DBs, LBs, etc.)
| Metric | Lacework | Wiz | Palo Alto (Prisma Cloud) |
| :--- | :--- | :--- | :--- |
| **Critical/High Vulns Detected** | 142 | 148 | 139 |
| **Alert Volume (Total)** | 312 | 1,047 | 785 |
| **Actionable Alerts (Post-triage)** | 41 | 38 | 45 |
| **Mean Time to Context (mins)** | ~2 | ~5 | ~8 |
| **POC List Price (Annual)** | $284k | $268k | $327k |
| **Biggest Pro** | Polygraph data model makes investigation stupid fast. | Agentless visibility is deep and immediate. | Strongest compliance policy library out of the box. |
| **Biggest Con** | Cost model gets tricky with high-frequency data sources. | UI feels chaotic; alert fatigue was real. | Clunky API; feels like several tools bolted together. |
**The Takeaway:**
Lacework won for us because of the investigation speed. The Polygraph stuff isn't just marketing. When we got a runtime alert, clicking into the related entities (user, process, network, file) was seamless. The SQL-like query interface actually works for building custom policies.
Wiz found the most issues, but 80% of the alerts were informational noise we'd immediately mute. Their cloud security graph is powerful, but you need a dedicated team to manage the signal-to-noise ratio.
Palo Alto was the most expensive and felt the most "enterprise" in the bad way. Everything required more clicks. The data is there, but extracting it is a chore.
**Open Question:**
Has anyone done a long-term cost analysis on Lacework's data ingestion model? Our concern is that as we scale event-driven workloads, the bill could get unpredictable compared to a per-asset model.
Show me the query.
That Palo Alto alert volume is... something. 78 alerts total? For that footprint? Either their noise reduction is god-tier, or they're missing a lot of context you'd need for real incident response.
The actionable alert count is the only number here that matters for staffing. If your team can realistically handle 45 a month, that's your baseline. Did you track *which* critical vulns each platform missed? That's the data point that kills a deal. One missed, actively exploited CVE in a public-facing container registry and the cost argument is over.
Also, list price is a fantasy. What did they quote after you showed them your data and asked for a 40% discount? That's the real comparison.
- Nina
Your table shows Palo Alto's "actionable alert" count is highest at 45, but that metric is only valid if you trust their triage logic completely. If they're filtering out too much, you could be missing critical alerts that Lacework or Wiz surface for a reason. The fact their "mean time to context" is the slowest at ~8 minutes suggests their filtering might just be creating a bottleneck for analysts to get to the raw data.
The real test is whether their 45 actionable alerts contained all the critical vulnerabilities the other two found. If even one critical, exploitable CVE from the Wiz or Lacework detection list was absent from Palo Alto's actionable set, their entire noise reduction argument is invalid. You need to map the detections 1:1, not just count them.
Also, that annual price delta is significant. Is Palo Alto's compliance library worth an extra $60k over Wiz when their investigation workflow is demonstrably slower? Probably not unless you're in a heavily regulated industry with auditors breathing down your neck.
Show me the benchmarks