Security Metrics Report Template (NIST SP 800-55, CSF 2.0)
Security board report: summary, measure catalogue, results by CSF 2.0 Function, trends, risk appetite, incidents, corrective actions, decisions
Cara menggunakan: Use it when you report security programme performance to executives, a board or a risk committee each quarter. Fill the measure catalogue first with stable definitions, targets and tolerances, then the results, risk context and decisions; write the executive summary last. The main pitfall is reporting activity counts without targets, so leaders cannot tell good from bad.
Pratinjau
Security Metrics Report: [Organisation name], [Reporting period]
Periodic report on the performance of an information security programme for executives, a board or a risk committee: headline status, measure catalogue, results and trends by NIST Cybersecurity Framework (CSF) 2.0 Function, risk context, incidents, initiatives, data quality, corrective actions and decisions requested. Based on NIST SP 800-55 Measurement Guide for Information Security, Volume 1 (identifying and selecting measures) and Volume 2 (developing a measurement program), both December 2024, and on NIST CSF 2.0 (February 2024). Replace every
[bracketed]value and every row marked Example. Worked examples use Mirenza Insurance, a fictional insurer with about 3,100 staff, reporting for the quarter ending 30 September 2027. Regulatory references are dated examples, not legal advice: check the current official text and a qualified professional.
Document control
| Field | Value |
|---|---|
| Document ID | [SMR-2027-Q3] |
| Version | [1.0] |
| Status | [Draft / Validated / Presented / Superseded] |
| Owner | [@ciso] |
| Approvers / reviewers | [@cio], [@chief-risk-officer], [@head-of-internal-audit, for data validation] |
| Last updated | YYYY-MM-DD |
| Classification | Confidential, board and committee members |
| Reporting period | Example: 1 July 2027 to 30 September 2027 (Q3 2027) |
| Data cut-off date | Example: 2027-10-07 |
| Audience | [Board risk committee / Executive committee / Audit committee] |
| Meeting date | YYYY-MM-DD |
| Previous report | [SMR-2027-Q2] |
Approvals
| Role | Name | Decision | Date |
|---|---|---|---|
| Chief information security officer | [@name] | [Approved for submission] | YYYY-MM-DD |
| Chief risk officer (risk appetite view) | [@name] | [Reviewed] | YYYY-MM-DD |
| Data owner sign-off (figures validated) | [@name] | [Validated] | YYYY-MM-DD |
Revision history
| Version | Date | Author | Change summary |
|---|---|---|---|
| 0.1 | YYYY-MM-DD | [@security-analyst] | Data collected and first draft |
| 0.9 | YYYY-MM-DD | [@ciso] | Example: Narrative and decisions added; validated by data owners |
| 1.0 | YYYY-MM-DD | [@ciso] | Example: Presented to board risk committee |
Contents
- Executive summary
- Purpose, audience and scope
- Measurement approach
- Measure catalogue
- Results by CSF 2.0 Function
- Trends
- Risk context and appetite
- Incidents and events in the period
- Programme initiatives
- Data quality, uncertainty and changes
- Corrective actions
- Decisions requested
- Governance and regulatory context
- Glossary and references
- Standard and licence note
1. Executive summary
Overall status (Example): Amber, improving. Nine of the ten key measures met their targets or improved this quarter; only the cost of incidents worsened. Privileged accounts are now 98.8 % covered by phishing-resistant multi-factor authentication, and the median time to detect high-severity incidents fell from 9.5 to 7.2 hours. One measure is red: third-party security assessments (88.7 % of critical suppliers assessed against a 95 % target). One is amber: the share of critical and high vulnerabilities fixed within agreed timeframes (92.4 % against 95 %). One incident in the quarter met the internal "significant" threshold; it was contained within 16 hours and cost 546,000 of the quarter's 590,000 total incident cost.
| Area | Status | Direction | Headline (Example) |
|---|---|---|---|
| Govern | Green | Steady | Risk appetite statement reviewed; policies in date |
| Identify | Red | Improving | Supplier assessments 88.7 % (target 95 %) |
| Protect | Amber | Improving | Vulnerabilities fixed in time 92.4 % (target 95 %); MFA 98.8 % |
| Detect | Green | Improving | Median time to detect 7.2 h (target ≤ 8 h) |
| Respond | Green | Improving | Median time to contain 16 h (target ≤ 24 h) |
| Recover | Green | Improving | Restore tests 96.8 % of critical systems |
Decisions requested (detail in section 12): approve funding for supplier assessment capacity (DEC-01) and accept a time-limited risk for the legacy claims platform (DEC-02).
2. Purpose, audience and scope
| Item | Value |
|---|---|
| Purpose | Inform the board risk committee about security performance against goals and risk appetite, and obtain decisions |
| Audience | Example: Board risk committee (7 members), executive committee |
| Organisational scope | Example: All Mirenza Insurance entities and subsidiaries; the outsourced policy administration platform through supplier reporting |
| Out of scope | Example: Joint venture in which Mirenza holds a minority stake |
| Frequency | Quarterly to the committee; monthly operational version to the executive committee |
| Related reports | Risk register (compliance/risk-register); security awareness programme results (security/security-awareness-program); internal audit reports |
3. Measurement approach
3.1 Programme workflow
The measurement programme follows the five-activity workflow in NIST SP 800-55 Vol. 2, section 3: evaluate and define the existing security programme, identify and prioritise measures, collect and analyse data, identify corrective actions, and apply corrective actions. The cycle repeats each period, and the measure set itself is reviewed annually.
3.2 Measure types
| Type (NIST SP 800-55 Vol. 1, section 3.3) | Question it answers | Example in this report |
|---|---|---|
| Implementation | Is the control in place, and how far has rollout progressed? | MEA-03 EDR coverage |
| Effectiveness | Does the control achieve the intended outcome? | MEA-06 phishing report rate |
| Efficiency | How quickly does the control give useful feedback, and how fast are issues fixed? | MEA-07 median time to detect |
| Impact | What does security mean for the organisation's mission, costs and trust? | MEA-10 cost of security incidents |
Volume 1 notes that effectiveness and efficiency together are often called programme results. As implementation measures reach their targets, shift attention to the other three types.
3.3 Status rules
| Status | Rule |
|---|---|
| Green | At or better than target |
| Amber | Within the tolerance band set for the measure in section 4, or below target but improving for two consecutive periods with a dated plan |
| Red | Outside the tolerance band, or below target and not improving |
Direction compares this period with the previous one: Improving, Steady (change within the measure's tolerance) or Worsening.
4. Measure catalogue
4.1 Summary catalogue
| ID | Measure | Type | CSF 2.0 | Formula | Target | Tolerance (amber) | Frequency | Data source | Owner |
|---|---|---|---|---|---|---|---|---|---|
| MEA-01 (Example) | Percentage of security policies reviewed within their review date | Implementation | GV.PO | Policies in date / policies in register | 100 % | ≥ 90 % | Quarterly | Policy register | [@grc-lead] |
| MEA-02 (Example) | Percentage of critical suppliers with a security assessment in the last 12 months | Implementation | GV.SC | Critical suppliers assessed / critical suppliers | ≥ 95 % | ≥ 90 % | Quarterly | Supplier register (compliance/supplier-security-assessment) | [@third-party-risk] |
| MEA-03 (Example) | Percentage of endpoints with a healthy endpoint detection and response (EDR) agent | Implementation | PR.PS, DE.CM | Healthy agents / endpoints in asset inventory | ≥ 98 % | ≥ 96 % | Monthly | EDR console, asset inventory | [@endpoint-lead] |
| MEA-04 (Example) | Percentage of privileged accounts using phishing-resistant MFA | Implementation | PR.AA | Privileged accounts with phishing-resistant MFA / privileged accounts | ≥ 98 % | ≥ 95 % | Monthly | Identity platform | [@iam-lead] |
| MEA-05 (Example) | Percentage of critical and high vulnerabilities fixed within agreed timeframes | Efficiency | ID.RA, PR.PS | Fixed within timeframe / closed or overdue in period | ≥ 95 % | ≥ 90 % | Monthly | Vulnerability platform (security/vulnerability-management-policy) | [@vuln-lead] |
| MEA-06 (Example) | Percentage of phishing simulation recipients who report the message | Effectiveness | PR.AT | Unique reporters / recipients | ≥ 40 % | ≥ 35 % | Quarterly | Simulation platform | [@awareness-lead] |
| MEA-07 (Example) | Median time to detect high-severity incidents (hours) | Efficiency | DE.AE | Median of (detection time minus earliest evidence of activity) | ≤ 8 h | ≤ 10 h | Quarterly | Incident records | [@soc-manager] |
| MEA-08 (Example) | Median time to contain high-severity incidents (hours) | Efficiency | RS.MI | Median of (containment time minus detection time) | ≤ 24 h | ≤ 30 h | Quarterly | Incident records | [@ir-lead] |
| MEA-09 (Example) | Percentage of critical systems with a successful restore test in the last 6 months | Effectiveness | RC.RP | Systems restored successfully / critical systems | ≥ 95 % | ≥ 90 % | Quarterly | Backup and DR test reports (ops/dr-test-report) | [@infra-lead] |
| MEA-10 (Example) | Total cost of security incidents in the period | Impact | GV.OV | Internal response effort + external services + notification and customer costs | Trend and appetite (section 7) | Not applicable | Quarterly | Incident cost records, finance | [@ciso] |
4.2 Full definition (one example)
| Field | MEA-05 (Example) |
|---|---|
| Unique ID | MEA-05 |
| Goal | Strategic goal: protect customer data and keep claims and policy services available. Security goal: known exploitable weaknesses are removed before attackers can use them |
| Scope | All internet-facing and internal systems in the asset inventory; excludes systems in decommissioning with an approved exception |
| Measure | Percentage of critical and high vulnerabilities fixed within the agreed timeframe |
| Type | Efficiency |
| Formula | Number of critical and high findings closed within timeframe / (number closed in period + number open past timeframe at period end) x 100 |
| Target | ≥ 95 %; interim target 90 % by Q2 2027 |
| Implementation evidence | Vulnerability platform export; exception register; sample of 25 closed findings re-scanned |
| Frequency | Collected weekly, analysed monthly, reported quarterly |
| Responsible parties | Information owner: head of infrastructure. Collector: vulnerability management analyst. Customer: CISO and board risk committee |
| Data source | Vulnerability platform; asset inventory (compliance/asset-inventory); exception register (security/security-exception-request) |
| Reporting format | Quarterly line chart with target line; table of overdue findings by business service |
5. Results by CSF 2.0 Function
| ID | Function | Measure | Q4 2026 | Q1 2027 | Q2 2027 | Q3 2027 | Target | Status | Direction |
|---|---|---|---|---|---|---|---|---|---|
| MEA-01 (Example) | Govern | Policies in date | 92.0 % | 96.0 % | 100.0 % | 100.0 % | 100 % | Green | Steady |
| MEA-02 (Example) | Govern / Identify | Critical suppliers assessed | 73.1 % | 78.8 % | 84.9 % | 88.7 % | ≥ 95 % | Red | Improving |
| MEA-03 (Example) | Protect / Detect | EDR healthy | 94.2 % | 96.5 % | 98.1 % | 98.6 % | ≥ 98 % | Green | Improving |
| MEA-04 (Example) | Protect | Privileged MFA, phishing-resistant | 88.3 % | 92.1 % | 96.7 % | 98.8 % | ≥ 98 % | Green | Improving |
| MEA-05 (Example) | Identify / Protect | Critical and high vulnerabilities fixed in time | 79.1 % | 86.6 % | 89.4 % | 92.4 % | ≥ 95 % | Amber | Improving |
| MEA-06 (Example) | Protect | Phishing report rate | 28.4 % | 33.0 % | 37.6 % | 41.9 % | ≥ 40 % | Green | Improving |
| MEA-07 (Example) | Detect | Median time to detect (h) | 18.5 | 14.0 | 9.5 | 7.2 | ≤ 8 | Green | Improving |
| MEA-08 (Example) | Respond | Median time to contain (h) | 30 | 26 | 21 | 16 | ≤ 24 | Green | Improving |
| MEA-09 (Example) | Recover | Critical systems restore-tested | 73.3 % | 83.3 % | 90.3 % | 96.8 % | ≥ 95 % | Green | Improving |
| MEA-10 (Example) | Govern (impact) | Cost of security incidents | 120,000 | 85,000 | 64,000 | 590,000 | Within appetite (section 7) | Amber | Worsening |
Underlying counts (Example):
| ID | Q4 2026 | Q1 2027 | Q2 2027 | Q3 2027 |
|---|---|---|---|---|
| MEA-02 | 38 / 52 | 41 / 52 | 45 / 53 | 47 / 53 |
| MEA-03 | 3,880 / 4,120 | 3,990 / 4,135 | 4,070 / 4,150 | 4,101 / 4,160 |
| MEA-04 | 212 / 240 | 221 / 240 | 236 / 244 | 241 / 244 |
| MEA-05 | 318 / 402 | 355 / 410 | 371 / 415 | 389 / 421 |
| MEA-06 | 879 / 3,095 | 1,023 / 3,100 | 1,168 / 3,106 | 1,302 / 3,105 |
| MEA-09 | 22 / 30 | 25 / 30 | 28 / 31 | 30 / 31 |
MEA-05 is Amber, not Red, because it is inside the 90 % tolerance band and has improved for three consecutive periods with a dated plan (CA-02). MEA-02 is Red although improving, because 88.7 % is below the 90 % tolerance band.
6. Trends
Lines from bottom to top in Q3 2027: MEA-02 supplier assessments, MEA-05 vulnerabilities fixed in time, and the shared 95 % target. At the current pace (about 3 percentage points a quarter for MEA-05), MEA-05 reaches target in Q4 2027. MEA-02 needs 4 more assessments to reach 95 % (51 of 53, 96.2 %); with 2 to 4 assessments a quarter and the supplier list still growing, it is expected about Q2 2028 without the extra capacity in DEC-01, and in Q1 2028 with it (CA-01).
Bars show time to contain; the line shows time to detect. Medians from small numbers of incidents (4 to 9 per quarter) move a lot; read them with the counts in section 8.
7. Risk context and appetite
| Risk ID | Risk | Measures | Appetite statement (Example) | Position | Action or decision |
|---|---|---|---|---|---|
| RISK-SEC-01 | Compromise through a critical supplier | MEA-02 | Low: all critical suppliers assessed annually | Outside appetite | DEC-01 funding; CA-01 |
| RISK-SEC-02 | Exploitation of known vulnerabilities | MEA-05 | Low: at least 95 % fixed in time | Within tolerance, not yet at target | CA-02; DEC-02 for legacy claims platform |
| RISK-SEC-03 | Account takeover of privileged users | MEA-04 | Very low | Within appetite | Maintain |
| RISK-SEC-04 | Undetected intrusion | MEA-03, MEA-07 | Low | Within appetite | Maintain; red team in 2028 (security/red-team-engagement-plan) |
| RISK-SEC-05 | Prolonged outage of claims services after an attack | MEA-08, MEA-09 | Low: restore within 24 h | Within appetite | Maintain |
| RISK-SEC-06 | Financial loss from security incidents | MEA-10 | Up to 1,000,000 per rolling four quarters | 859,000 rolling four quarters (546,000, or 63.6 %, from one incident) | Monitor; see section 8 |
Incident cost (Example): 85,000 + 64,000 + 590,000 = 739,000 for Q1 to Q3 2027, plus 120,000 in Q4 2026, gives a rolling four-quarter total of 859,000, within the 1,000,000 appetite but close enough to watch. Compliance and audit readiness: the open supplier assessment gap is also an open internal audit finding (IA-2027-07), due for closure in Q1 2028.
8. Incidents and events in the period
| Severity | Q2 2027 | Q3 2027 | Notes (Example) |
|---|---|---|---|
| Significant (internal threshold) | 0 | 1 | INC-2027-031, below; no regulatory notification threshold met |
| High | 6 | 8 | Mostly credential phishing contained at mailbox level |
| Medium | 41 | 37 | |
| Reportable to a regulator | 0 | 0 | Assessed against applicable rules (compliance/personal-data-breach-assessment) |
INC-2027-031 (Example): an attacker used a compromised supplier support account to
reach a document management server; detected in 6 hours by EDR, contained in 16 hours, no
customer data exfiltration confirmed by forensic review. Cost 546,000: internal response
412,000, external forensics 96,000, precautionary customer notification and support
38,000. The other Q3 incidents cost 44,000 in total. Root cause: supplier remote access not covered by the controls applied to
staff accounts. Full report: security/security-incident-report [INC-2027-031].
9. Programme initiatives
| Initiative ID | Initiative | Measures improved | Budget (Example) | Spent to date | Status | Expected completion |
|---|---|---|---|---|---|---|
| INI-01 (Example) | Phishing-resistant MFA for all staff | MEA-04 | 450,000 | 390,000 | On track (privileged done; all staff 61 %) | Q1 2028 |
| INI-02 (Example) | Vulnerability remediation automation | MEA-05 | 300,000 | 210,000 | On track | Q4 2027 |
| INI-03 (Example) | Supplier assurance programme | MEA-02 | 180,000 | 175,000 | At risk: capacity | Q2 2028 (see DEC-01) |
| INI-04 (Example) | Immutable backup and quarterly restore tests | MEA-09 | 250,000 | 240,000 | Complete | Q3 2027 |
Security spending context (Example): security operating and project budget of 9.6 million is 3.08 % of the 312 million IT budget (9.6 / 312).
10. Data quality, uncertainty and changes
| Item | Detail (Example) | Effect on results |
|---|---|---|
| Asset inventory completeness | 96 servers in a recently acquired subsidiary not yet in the inventory | MEA-03 and MEA-05 may be overstated; added in Q4 2027 |
| Small numbers | 8 high and 1 significant incident in Q3 | Medians in MEA-07 and MEA-08 are sensitive to single cases |
| Definition change | MEA-05 now excludes findings with an approved exception (previously counted as overdue); Q4 2026 to Q2 2027 restated on the new basis | Restated figures shown in section 5 |
| Validation | Internal audit re-performed MEA-04 and MEA-09 calculations on a sample | No differences found |
| Manual data | MEA-10 internal effort estimated from timesheets | ± 15 % uncertainty on internal cost |
11. Corrective actions
| Action ID | Measure | Action | Owner | Due | Expected effect | Status |
|---|---|---|---|---|---|---|
| CA-01 (Example) | MEA-02 | Assess the 6 remaining critical suppliers; use shared assessments where available | [@third-party-risk] | 2028-03-31 | MEA-02 at or above 95 % by Q1 2028 with DEC-01 | Open |
| CA-02 (Example) | MEA-05 | Automated patching for the remaining server estate; weekly overdue review with service owners | [@infra-lead] | 2027-12-31 | MEA-05 at or above 95 % in Q4 2027 | Open |
| CA-03 (Example) | MEA-10 | Apply staff remote access controls to supplier accounts (root cause of INC-2027-031) | [@iam-lead] | 2027-11-30 | Remove the incident route | Open |
| CA-04 (Example) | MEA-03 | Onboard the subsidiary's servers to inventory and EDR | [@endpoint-lead] | 2027-12-15 | Complete data for MEA-03 and MEA-05 | Open |
| CA-Q2-02 (Example) | MEA-09 | Add the 3 untested critical systems to the restore test calendar | [@infra-lead] | 2027-09-30 | MEA-09 above 95 % | Closed (96.8 %) |
12. Decisions requested
| Decision ID | Decision requested | Cost | Alternative | Risk if declined |
|---|---|---|---|---|
| DEC-01 (Example) | Approve 120,000 for external supplier assessment capacity for two quarters | 120,000 | Continue with current staff; target reached about Q2 2028 | RISK-SEC-01 stays outside appetite until about Q2 2028, one quarter longer than with the funding |
| DEC-02 (Example) | Accept, until 2028-06-30, the risk of 14 high vulnerabilities on the legacy claims platform that cannot be patched before its replacement, with compensating controls (network isolation, extra monitoring) | Compensating controls 35,000 | Accelerate replacement (cost 1.2 million, not in budget) | If neither: findings stay overdue without formal acceptance |
Record the committee's decisions in the minutes and in the next report's revision of this
section. Risk acceptances go into the exception register (security/security-exception-request).
13. Governance and regulatory context
| Jurisdiction | Source | Oversight expectation (paraphrase) | How this report helps |
|---|---|---|---|
| EU | Directive (EU) 2022/2555 (NIS2), Article 20(1) and (2) | Management bodies of essential and important entities approve cybersecurity risk-management measures, oversee their implementation and follow training | Sections 5, 7 and 11 give the oversight evidence |
| EU financial sector | Regulation (EU) 2022/2554 (DORA), Article 5(2) | The management body defines, approves, oversees and is responsible for the ICT risk management framework, sets risk tolerance and allocates budget | Sections 7, 9 and 12 |
| UK | UK Corporate Governance Code 2024 (FRC, published 22 January 2024), Provision 29, for financial years beginning on or after 1 January 2026 | Boards of companies applying the Code monitor the risk management and internal control framework and declare the effectiveness of material controls | Section 5 and 10 evidence for material cyber controls, where the board treats them as material |
| US | SEC rules adopted 26 July 2023, Regulation S-K Item 106 (annual Form 10-K) | Public companies describe cybersecurity risk management, strategy and governance, including board oversight and management's role | Recurring board reporting supports the governance description |
| Any | NIST CSF 2.0, GV.OV-03 | Cybersecurity risk management performance is evaluated and reviewed for needed adjustments | Whole report |
This report is internal. It does not by itself satisfy any disclosure or notification duty; check the current official texts and a qualified professional.
14. Glossary and references
14.1 Glossary
| Term | Meaning |
|---|---|
| Measure | A quantified result of an assessment, defined by a formula and a target (NIST SP 800-55 uses "measures"; "metrics" is common in practice) |
| Implementation measure | Shows whether and how far a control is in place |
| Effectiveness measure | Shows whether a control achieves its intended outcome |
| Efficiency measure | Shows how quickly a control gives feedback and issues are addressed |
| Impact measure | Shows what security means for the organisation's mission, cost and trust |
| Target and tolerance | The level to reach, and the band within which a miss is acceptable for a short time |
| Risk appetite | The amount and type of risk the organisation is willing to take to meet its objectives |
| EDR | Endpoint detection and response |
| MFA | Multi-factor authentication; phishing-resistant MFA cannot be relayed by a fake login page |
14.2 References
| Reference | Use |
|---|---|
| NIST SP 800-55 Vol. 1, Measurement Guide for Information Security: Identifying and Selecting Measures, December 2024 (doi.org/10.6028/NIST.SP.800-55v1) | Measure types, documentation fields, reporting context, data quality |
| NIST SP 800-55 Vol. 2, Measurement Guide for Information Security: Developing an Information Security Measurement Program, December 2024 (doi.org/10.6028/NIST.SP.800-55v2) | Programme workflow and roles |
| NIST CSF 2.0, CSWP 29, February 2024 (doi.org/10.6028/NIST.CSWP.29) | Functions and category IDs |
NIST CSF Profile (compliance/nist-csf) | Current and target profile that the measures track |
Risk Register (compliance/risk-register) and Risk Methodology (compliance/risk-methodology) | Risk IDs and appetite |
Vulnerability Management Policy (security/vulnerability-management-policy) | Remediation timeframes behind MEA-05 |
Security Awareness Programme (security/security-awareness-program) | Definition of MEA-06 |
Security Incident Report (security/security-incident-report) | Incident details behind section 8 |
Management Review (compliance/management-review) | ISO management system review inputs |
Standard and licence note
Based on NIST SP 800-55 Volume 1 and Volume 2 (December 2024) and the NIST Cybersecurity Framework 2.0 (February 2024), which are works of the US Government and not subject to copyright in the United States. Section numbers, measure type names, the measure documentation fields and the workflow activity names are cited from NIST SP 800-55; CSF 2.0 Function and category identifiers are cited as published. All other text, measures, targets and examples are original. Laws and codes are summarised in original words with article or provision numbers as dated examples for the EU, the UK and the US; check the current official text and a qualified professional. Check csrc.nist.gov for newer revisions. Template licence: MIT.
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