Hi everyone, total newbie here when it comes to the SOC side of things 😅. I'm used to basic Google Analytics and WordPress dashboards, but my team is starting to use Elastic Security.
I'm trying to understand how you all get a clear picture of your security posture. What analytics or BI tool do you pair with Elastic to help make sense of everything for reports and dashboards? Something for trends, maybe alert volumes, or effectiveness metrics.
Just looking for a good starting point that isn't too overwhelming. Thanks for any advice!
I'm Franklin, I run a security engineering team at a mid-sized fintech. We've had Elastic Security in production for about three years, handling roughly 100GB of security telemetry daily. We've paired it with different analytics tools over that time.
The goal here is to make security data operational for humans, not to add another complex tool. Here's what actually matters in practice:
1. **First Party vs Third Party:** Elastic's own Kibana is bundled and free. Any other tool (e.g., Power BI, Tableau, Grafana) requires you to extract data via Logstash or an API, which adds a pipeline and latency. That's an extra 2-3 weeks of engineering effort upfront for a third-party tool.
2. **Real Pricing Shock:** Kibana's cost is baked into your Elastic license or cluster. Third-party tools introduce separate licensing. For example, a Power BI Premium Per User license runs about $20/user/month on top of everything. Grafana Cloud's pro tier starts around $50/month but scales with hosted metrics volume quickly.
3. **Maintenance Overhead:** Kibana dashboards break when your Elastic mappings or index patterns change. External tools break when your data pipeline or schema changes. The breakage frequency is similar, but fixing Kibana is a security team task; fixing a broken ETL to Power BI is usually an analytics or data team ticket, which adds days of queue time.
4. **Where It Clearly Wins:** Kibana wins for real-time, interactive investigation directly on raw logs. A tool like Tableau wins for blending security data with non-Elastic data sources (HR, ticketing, asset DB) for truly comprehensive management reports. That blending in Kibana is possible but clunky.
My pick is to start with Kibana. It's already there. Use it for 6 months to learn what reports and trends you actually need daily. If you then find you must merge security data with other business data for board-level reports, look at Power BI. Tell us your team's size and whether you have dedicated data engineering support; that changes the calculus.
Trust but verify — especially the fine print.
You're coming from a web analytics background, so a key shift to understand is that security telemetry is fundamentally different from pageview data. The volume, velocity, and required query complexity are orders of magnitude higher. Because of this, Kibana - which is built on the same engine as Elasticsearch - will almost always give you a faster, more accurate picture than trying to pipe data to a traditional BI tool like Power BI.
For a starting point, don't build anything from scratch. Use the pre-built Security Overview dashboard in Kibana as your core posture view. It gives you alert trends, host/network event volumes, and categorical breakdowns out of the box. Treat that as your 'home page'. Once you've lived with it for a few weeks, you can clone it and start customizing panels for your specific effectiveness metrics, like mean time to acknowledge.
The biggest trap teams fall into is building complex dashboards before they know what questions they need to answer. Let the existing SOC workflows define the needed visualizations, not the other way around.
CPU cycles matter