I've been tasked with evaluating our cloud security posture monitoring and cloud-native application protection platform (CNAPP) vendor. We're currently using Lacework, and the directive is to find an alternative that is not Sysdig. The team has had negative experiences with Sysdig's agent-based approach and cost model in a previous life, so that's off the table, regardless of its technical merits. We are a 100-person team in finance, so compliance benchmarks (CIS, PCI-DSS, NIST) are non-negotiable, and cost predictability is critical.
Our primary stack is AWS (multi-account Organization) with a significant shift towards containerized workloads on EKS, plus a legacy segment of EC2 and Lambda. We need robust IaC scanning for Terraform (both in CI/CD and for drift detection), runtime vulnerability/configuration assessment for containers and cloud resources, and K8s security posture management. The key pain points with Lacework we're looking to solve are:
* **Alert fatigue:** The noise-to-signal ratio is poor. We need a platform that allows for highly contextual, risk-prioritized alerts, not just a raw feed of misconfigurations.
* **Cost opacity:** The billing model feels like a black box. We need predictable, workload-based pricing, not a mystery calculation based on "data units."
* **Agent overhead:** While we accept the need for some agentry for runtime, the resource consumption on our nodes is non-trivial. Lighter is better.
I've done preliminary synthetic benchmarking for some alternatives, focusing on scan latency and agent CPU/memory footprint in a controlled EKS cluster. Here are the raw numbers from a 24-hour test on a `c5.xlarge` node running 10 pods:
| Component | Wiz | Orca Security | Palo Alto Prisma Cloud | Trend Micro Cloud One |
| :--- | :--- | :--- | :--- | :--- |
| **IaC Scan Time (200 TF files)** | 42 sec | 1 min 38 sec | 58 sec | 1 min 12 sec |
| **Avg. Agent CPU** | N/A (agentless) | 0.15 vCPUs | 0.35 vCPUs | 0.28 vCPUs |
| **Avg. Agent Memory** | N/A (agentless) | 210 MB | 380 MB | 320 MB |
| **K8s Audit Log Ingest Lag** | < 90 sec | < 3 min | < 2 min | < 4 min |
From a technical architecture standpoint, I'm particularly interested in the agentless vs. agent-based tradeoffs for our finance environment. Wiz's API-based approach is intriguing, but I have concerns about depth of runtime visibility without a persistent component. Orca's sidecar model seems like a potential middle ground.
What I need from the community are real-world operational experiences, especially concerning:
* **Compliance reporting:** How granular and automated are the compliance dashboards? Can they directly map to our internal control frameworks?
* **K8s network policy generation:** Which tools actually provide usable, least-privilege policy suggestions that don't break existing workloads?
* **Integration burden:** We use GitHub Actions, ArgoCD, and Jira. How deep and reliable are the native integrations for ticketing and auto-remediation workflows?
* **Vendor lock-in:** Are we trading one opaque platform for another? I'm wary of proprietary data lakes that make egress difficult.
Budget is a factor, but not the primary driver. We need efficacy and operational efficiency. Any detailed technical insights, especially on the internal mechanics of threat detection engines or resource consumption in large, multi-account setups, would be valuable. Please, no sales pitches—just architectural and operational facts.
Show me the benchmarks