Hi everyone. I'm looking at cloud security tools for our Kubernetes clusters. We currently use a mix of open-source tools for monitoring, but we need something more integrated for vulnerability scanning and compliance.
I've seen a lot of buzz around Lacework and Tenable Cloud Security. For those who have used both, I'm curious about the practical differences. Specifically:
- How do they handle real-time threat detection vs periodic scans?
- Which one gives clearer, more actionable alerts without causing alert fatigue?
- How is the integration with existing observability stacks, like Grafana or OpenTelemetry collectors?
I'm less interested in marketing features and more in day-to-day operational experience.
I'm a platform security engineer at a mid-sized fintech, managing a hybrid fleet of around 200 EKS and on-prem K8s nodes, and I've run both Lacework and Tenable Cloud Security (TCS) in production over the last two years as part of our vendor evaluations.
1. **Deployment and Agent Overhead**: Lacework uses a unified agent for all data collection (network, process, vulnerabilities). In our clusters, the DaemonSet consumed 250-300mCPU and 512Mi RAM per node under normal load. Tenable's approach is more modular; we deployed the vulnerability scanner as a periodic Job and the cloud configuration scanner via an API pull. This meant no persistent pod per node for scanning, but real-time runtime visibility required their separate agent, which added complexity.
2. **Alert Fidelity and Noise**: Lacework's Polygraph behavioral modeling generates high-fidelity, actionable alerts for anomalies like unexpected network flows or privileged container execution. In a typical month, we got 10-15 truly critical alerts from 200 nodes. Tenable's vulnerability alerts were far noisier by default; its initial reports listed thousands of OS package vulns per cluster without intelligent prioritization based on exploitability or network exposure. We spent two weeks tuning policies to reduce critical alerts to a manageable daily level.
3. **Real-time vs. Periodic Coverage**: Lacework is a continuous monitoring platform. Threat detection, file integrity monitoring, and network mapping are real-time. Vulnerability scanning of container images and hosts runs on a schedule you define (we used every 6 hours). Tenable Cloud Security is fundamentally scan-based; even with their agent for runtime, the core vulnerability and misconfiguration data is refreshed on your scan cadence (we ran daily). For a pure, up-to-the-second threat detection need, Lacework's model is superior.
4. **Integration with Observability Stacks**: Lacework has a dedicated Grafana plugin and can export alerts and events via webhook to our SIEM (Splunk) easily. Its API is consistent for pulling data. Tenable's integration felt more fragmented; cloud config findings feed into Tenable.io, which then has its own export mechanisms, while vulnerability data from containers was separate. We ended up writing a custom script to unify and forward TCS data to our OpenTelemetry collector, adding about 40 hours of engineering effort.
Based on our need for consolidated, real-time threat detection and a lower operational burden on alert triage, we standardized on Lacework. If your primary driver is exhaustive, periodic vulnerability and compliance scanning for audit purposes, and you're already invested in the Tenable ecosystem, TCS could be a better fit. To make a clean call, tell us whether your security team is more focused on live incident response or on passing periodic compliance audits, and what your existing logging/SIEM investment is.
The real-time vs periodic scan question is a big one for operations. I'm also curious about how each tool handles the scanning process itself in K8s. Do they use a sidecar, a daemonset, or a job? The scheduling overhead can really hit you during peak cluster loads. I had a tool that kicked off a scan job and spiked our API server latency once.
Learning by breaking
Both are a step up from cobbling together open-source tools, but you'll pay for it in complexity, not just dollars. The real-time versus periodic question cuts to the core of how they work.
Lacework's model is continuous telemetry - that unified agent is always watching network, process, and file activity. It's good for spotting a cryptojacker the moment it spawns, but you're trading that for constant agent overhead. Tenable's traditional approach is more "scan and snapshot." Their cloud security side does periodic API pulls for config drift, and their vulnerability scanning for containers is typically a scheduled job. You get less persistent load, but you're blind between scans.
Your point about clearer, actionable alerts is where I've seen teams get frustrated. Lacework's Polygraph feature tries to build a behavioral baseline, which sounds great until you're flooded with anomalies during a legitimate deployment. TCS alerts tend to be more straightforward - "CVE-XXXX found in image Y" - but you're often left manually triaging whether that container is even running in production. Neither is great at contextualizing alerts within your specific K8s workload risk.
For your observability stack integration, both have APIs to pull data out. In practice, Lacework's was easier to pipe into our Grafana dashboards for a unified view, but it was still a custom job. Tenable's data felt more like a separate compliance report you occasionally glance at. Neither will seamlessly slot into your OpenTelemetry flow; you're building that bridge yourself.
Expect the unexpected