Cybersecurity Dashboard Open Source: Monitor Threats Effectively

Table of Contents

1. What is an open-source cyber security dashboard?
2. Why an open-source cybersecurity dashboard is important
3. How to Get Started
4. Frequently Asked Questions
5. Conclusion

Open-source dashboards allow security teams to monitor their own environments without paying license fees or being dependent on a specific vendor. They organize logs, alerts, metrics, and threat intelligence information on screens that display them in a narrative format. Sudden spikes are visualized when they occur. If a specific alert repeats, a pattern becomes visible. This visualization reduces response time. It also provides small teams the opportunity to manage operations like large companies.

This article explains what the open-source cybersecurity dashboard project is, why teams choose it, and how value can be gained quickly. It mentions actual tool names like Grafana, Kibana, Wazuh, Zeek, and TheHive. Simple steps for creating a dashboard are also introduced, along with a brief comparison table to help choose a starting point. Keep reading if you want to learn how to monitor threats without the need for expensive vendor invoices.

What is an open-source cyber security dashboard?

An open-source cybersecurity dashboard, built as a visual front-end on community code, organizes security monitoring data (logs, alerts, network flows, endpoint data, threat intelligence, etc.) into charts, tables, and lists. Think of an event timeline, an attack source heatmap, and drill-downs from alerts to logs. Such dashboards are typically positioned at the top of the data pipeline: data is collected with tools like Filebeat or Zeek, sent to storage engines like Elasticsearch or ClickHouse, and then dashboard tools like Grafana or Kibana display this view.

Open source means that you can read the code and the sales department does not need to give permission when adding plugins or changing the way data is stored. This allows you to reduce costs and increase flexibility. By using templates or dashboards shared by the community, you can detect brute force attack attempts, traffic control and routing, or abnormal behavior. Maintenance and configuration settings are still important. You will spend time adapting the dashboard to your own environment, filtering out noise, ensuring notifications work effectively, and adjusting thresholds so that they are not disruptive.

Basic components and their compatibility methods

The operations dashboard set consists of four sections. Data collection - agents and sensors like Wazuh, Osquery, Suricata, or Zeek. Collection and storage - with log shipping software or a database; common options include Fluentd, Logstash, Elasticsearch, or ClickHouse. Visualization - you can view data and run queries with Grafana or Kibana. Incident management - tools like TheHive or MISP can be used to turn alerts into investigated incidents. If you combine them in this order, you end up with a pipeline that supports both real-time monitoring and forensic search. Let's start small: 1 sensor, 1 index, 1 dashboard. After that, you can scale gradually.

Why an open-source cybersecurity dashboard is important

There are only three reasons why the team chooses open-source boards: cost management, customization, and transparency. This way, they can avoid recurring license fees. They can also organize the board to display key indicators in their own environment. Since the code and queries are open, they can also check the detection mechanisms.

It has measurable benefits. When an integrated dashboard is used, it typically reduces the average detection time by 20-30% since analysts no longer need to switch between tools. Additionally, the scope of detection rules created by the community can quickly expand. Many projects publish queries that are ready to use immediately and can be customized. However, there are some trade-offs as well: installation and configuration, as well as platform updates, require employees' time.

How the team uses the dashboard and quick actions

The operations team uses this dashboard in several specific ways. First, check the dashboard you want to monitor real-time notifications on for high-priority current events. There are also charts showing historical trends, such as failed login attempts or unusual DNS queries. In addition, a detailed view that correlates the notification with raw logs and endpoint context is also available. For simple deployment steps, you can choose dashboard tools like Grafana or Kibana, set up a single sensor like Zeek or Wazuh, forward data through lightweight pipelines like Filebeat, and use community-provided dashboard templates. Set thresholds, add bookmarks for common queries, and rebuild reports daily to ensure the pipeline is functioning properly.

Tool	Type	Best for	License
Grafana	Visualization	Indicators, time series dashboard	AGPL support / Open core
Kibana	Idea / Research	Record and dashboard search	Elastic license (varies depending on the community option)
Wazuh	Flight management and system logs	Host-based intrusion detection system, file integrity, measurement by agent	GPL
TheHive	Case management	Incident tracking and collaboration	Apache 2.0

Start with things you can sustain. A small but sophisticated set of a reliable control panel is better than dozens of complex panels. Focus on the evidence-they are the logs that connect the actions. You can expand it afterwards." - Maria Torres, SOC manager with 10 years of experience

When choosing technology, consider the technical level of your team. Grafana or Kibana are easy to use if you are already querying time series data. On the other hand, Wazuh or Zeek provide security-related monitoring data directly. If you want to link notifications directly to investigations, add TheHive. Plan storage costs and data retention policies. Even open-source tools require storage and processing power. Finally, set the rhythm of the cycle - adjust weekly in the first month, and afterward, conduct monthly reviews. The goal is continuous improvement: better signals, reduced false alarms, and providing researchers with context quickly.

How to Get Started

Implementing an open-source toolset for cybersecurity management doesn't have to be a one-month project. Let's start with a clear goal. Do you want to research threats, monitor a security operations center, or support incident response? Choose one of these. Let's keep the scope small for the first 30 days.

A practical checklist for getting started:

Create a visual dashboard by selecting default dashboards like Grafana or Kibana.
Security Onion or Wazuh is best if you want a hardware-like package that includes sensors and rules.
Data source identification host logs: Filebeat, Wazuh agent, OSSEC.
Network: Zeek, Suricata, PCAP files.
Cloud: CloudTrail, VPC flow logs, Azure activity logs.
Dataset settings and retention period: First store in hot storage for 30 days, then move old logs to low-cost object storage.
Keep alerts and records in high resolution for 90 days for research purposes.
Use ElastAlert, Prometheus Alertmanager, or Wazuh rules to send notifications in order to create a notification plan.
Link the notification to importance and responsibility.
To verify the detection, it tests and configures Atomic Red Team tests or Metasploit's safe module executions.
Setting rules to reduce false alarms - the goal is to keep noise in high alerts below 5%.

Specific indicators to be monitored from the start: Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), daily completion rate, and the top 5 alerts by size. According to a 2023 study, organizations performing basic daily collection operations shortened incident detection time by several weeks. This is significant. You can set up a practical analysis pipeline in two days using ELK (Elasticsearch, Logstash, Kibana) and Beats, and lightly index logs with Grafana and Loki.

Tip: Use the GitHub repository for quick deployment. There are Security Onion documents, a Wazuh installation script, and Grafana dashboards you can use. Start with a single use case first, connect 1-2 log sources, create 3 dashboards, and add an automated alert. After that, you can continue to improve. Thanks to the open-source approach, you can maintain control and transparency of cybersecurity dashboards even during expansion.

Frequently Asked Questions

What is an open-source cyber security dashboard?

An open-source security dashboard is a set of software that can be verified, fixed, and operated without relying on a specific vendor. It collects logs and data remotely from endpoints, networks, and cloud services, and displays notifications, timelines, and visualization charts. Common components include Elasticsearch or Loki for searching, Grafana or Kibana for visualization, and tools like Filebeat, Zeek, and Suricata for data collection. Projects such as Wazuh, Security Onion, TheHive, and MISP are popular for monitoring, investigation, and threat intelligence integration. Since the code is provided on GitHub, analyzers, rules, and dashboards can be customized by users to suit their own environments. Teams often prefer open-source dashboards to reduce licensing costs, speed up integration processes, and maintain full control over data flow and storage.

Conclusion

Open-source dashboards provide the security team with a transparent and flexible threat monitoring tool. Let's start small: choose a visualization layer like Grafana or Kibana, add data collectors such as Filebeat or a Wazuh proxy, and connect network sensors like Zeek or Suricata. Measure MTTD and MTTR values, adjust rules after testing, and automate notifications with ElastAlert or Alertmanager. Practical packages include options like quickly deploying ELK with Beats, setting up Grafana alongside Loki, or implementing Security Onion, which integrates sensors and dashboards. Conducting regular tests and clearly defining notification responsibilities reduces noise and helps detect real threats more quickly. The path of open-source cybersecurity dashboards is practical and cost-efficient and allows you to have full control over data storage and review methods. Start with a single use case and prove its value within 30 days, then expand the incident management application.

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