Container security vendor sales teams are masters at hiding actual costs behind "contact us" buttons and confusing credit systems. After dealing with dozens of these pricing conversations, here's what these platforms actually cost when you cut through the bullshit.
The Three Pricing Models That Dominate
1. Per-Node/Host Pricing
Most platforms charge per compute instance they protect. Sysdig bases their CNAPP pricing on number of hosts, NeuVector charges like $1,200/node/year, and Aqua Security follows similar models.
Typical ranges are all over the place:
- Basic protection: $50-150/node/month, but "basic" never includes shit you actually need
- Enterprise features: $200-400/node/month
- Full CNAPP with compliance: $300-600/node/month
The gotcha: They count every worker node, even if it's running one tiny pod. A 10-node Kubernetes cluster costs the same as a single massive server. Totally fucked pricing model.
2. Credit-Based Systems (The Worst)
Prisma Cloud pioneered this mess where you buy "credits" that get consumed by different resources at different rates. One container image scan might cost 1 credit, runtime monitoring costs 5 credits per hour, compliance checks burn through 10 credits.
Prisma Cloud example:
- 100 credits: $18,000/year
- 500 credits: $75,000/year
- Enterprise volume: $120,000-300,000/year
Problem: Nobody can predict actual consumption. I've seen clients blow through their credit allocation in like 2 months because their CI/CD pipeline scanned images way more than expected. Prisma Cloud loved it.
3. Usage-Based/Consumption Models
Some newer platforms charge based on actual resource consumption. Calico Cloud charges $0.05 per node-hour, which sounds cheap until you realize that's $438/month for one always-on node.
Real-World Cost Examples
Startup (50 containers across 5 nodes)
- Falco (open source): $0 + engineer time
- Sysdig Secure: ~$2,500/month
- Prisma Cloud Compute: $8,000-12,000/month
- Aqua Security: $4,000-6,000/month
Mid-size company (500 containers, 25 nodes)
- Open source stack: $0 licensing + $15,000/month in engineer time
- Sysdig: $15,000-25,000/month
- Prisma Cloud: $40,000-60,000/month
- Wiz: $35,000-50,000/month
Enterprise (2000+ containers, 100+ nodes)
- Commercial platforms: $150,000-500,000/year
- Plus professional services: $50,000-200,000 implementation
- Plus ongoing support: $30,000-100,000/year
The Hidden Costs That Kill Budgets
Professional Services (The Real Money Maker)
Every vendor pushes expensive consulting. Prisma Cloud QuickStart: $15,500. Custom policy development: $50,000-150,000. "Migration assistance" from your existing tools: $100,000+.
Data Egress Charges
SaaS platforms analyzing your container logs and metrics can generate massive cloud data transfer bills. One client saw like $8,000/month in unexpected AWS egress charges. Nobody warned them about this shit.
Integration Tax
Want to integrate with your SIEM? That's extra. Custom dashboards? Additional licensing. API access beyond basic limits? Premium tier required.
Platform-Specific Pricing Reality Check
Prisma Cloud
The most expensive, most confusing. Expect $200,000-500,000 for enterprise deployments. Their credit system is designed to extract maximum revenue - you'll constantly buy more credits than planned.
Sysdig
More predictable per-host pricing. Figure $3,000-8,000/month for 20-30 node clusters. Their Falco heritage means solid runtime detection without some of the enterprise bloat.
Aqua Security
Middle of the pack at $2,000-6,000/month for mid-size deployments. Their per-workload pricing can get expensive with microservices architectures.
Wiz
Agentless approach means potentially lower operational overhead, but pricing often matches Prisma Cloud at enterprise scale.
The Open Source Alternative Math
Before signing any enterprise contract, calculate the open source alternative:
- Falco for runtime detection: Free
- Trivy for vulnerability scanning: Free
- OPA Gatekeeper for policy enforcement: Free
- Engineer time to integrate and maintain: $120,000-200,000/year
Total: $200,000/year vs. $300,000-500,000/year for commercial platforms.
The trade-off: You need skilled engineers who can integrate these tools and handle the operational complexity. If you don't have that expertise in-house, commercial platforms make sense despite the cost.