A cybersecurity dashboard brings selected security metrics into a visual view so people can monitor risk, spot trends, and decide what to do next. It may show live operational data or metrics collected over time; alerting is not guaranteed. A useful dashboard turns data into decisions rather than displaying every available number. section 2.2 section 3.4
Build the view around its audience and decisions:
- Choose metrics that match business goals and risk priorities. Include trends as well as current values, and review the selection as goals and threats change. section 2.2.1
- Give analysts operational detail such as alerts, vulnerabilities, and response times. Give executives a simpler view of risk exposure, compliance, incidents, and financial effects. section 2.2.3 section 3.4.1
- Use clear labels and a consistent, uncluttered layout. Match charts to the question: bars for comparisons, lines for trends, and pie charts for proportions. section 2.2 section 2.2.2
- Connect a concerning metric to an investigation or other decision. For example, rising failed logins should lead to a way to inspect the underlying data. section 2.2
One security posture, two views
After a spike in employee-targeted phishing, a software company prepares separate executive and analyst dashboards. Executives see a risk exposure score of 7.5, five critical incidents in the quarter, and a two-day mean time to resolve phishing incidents. Analysts see 15 high-severity alerts, 25 phishing incidents, a 92% phishing detection rate, and 10 critical vulnerabilities. The two views support different questions: how much risk the organization faces, and what the team needs to investigate or remediate. section 2.2.3
Table 2.3 Executive dashboard example values
| Metric |
Value |
| Risk exposure score |
7.5 |
| SOC 2 compliance % |
85% |
| HIPAA compliance % |
90% |
| Critical security incidents (Q3) |
5 |
| MTTR (phishing incidents) |
2 days |
| Financial consequences (Q3) |
$150k |
Compare the executive values for risk, compliance, incidents, resolution time, and financial consequences. section 2.2.3
Table 2.4 Security analyst dashboard example values
| Metric |
Value |
| High severity alerts |
15 |
| Medium severity alerts |
30 |
| Low severity alerts |
50 |
| Top attack vector (phishing) |
25 incidents |
| Phishing detection rate |
92% |
| Critical vulnerabilities |
10 |
| High vulnerabilities |
25 |
| Medium vulnerabilities |
40 |
| Low vulnerabilities |
70 |
| Average incident response time |
3 hours |
Compare the analyst values for alerts, attack vectors, detection, vulnerabilities, and response time. section 2.2.3
Read a dashboard against targets and risk, not just apparent improvement. A risk-management view showing 75% of identified risks resolved still calls for scrutiny of the unresolved 25%: severe threats may require urgent attention. Likewise, improved gap-analysis coverage shows better visibility, but does not establish that identified gaps have been closed. Report the remaining exposure and the next action alongside the progress. section 5.3.3 section 5.6.5
