Compliance with Security Policies is crucial for safeguarding sensitive data and maintaining organizational integrity.
High compliance rates can significantly reduce the risk of data breaches, enhancing customer trust and protecting financial health.
This KPI influences business outcomes such as operational efficiency and risk management.
Organizations that prioritize compliance often see improved cost control metrics and better alignment with regulatory requirements.
A robust compliance framework also supports data-driven decision-making, ensuring that all stakeholders are informed and accountable.
Ultimately, strong compliance fosters a culture of security that can drive long-term growth and stability.
Compliance with Security Policies sits in the ISO 27002 (IEC 27002) KPI group, one of seventy two metrics tracked against that standard. Its priority ranking is eleven, just outside the group's top tier of eight headline metrics: Number of Security Incidents, Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), Mean Time to Resolve (MTTR), Data Breach Impact, Incident Recovery Time, Unauthorized Access Attempts, and Vulnerability Remediation Time, in that priority order. Ranking eleventh of seventy two still places it in the upper band of the group, but it functions as a supporting control metric rather than a headline one.
The group's own guidance draws a direct line between this KPI and Security Audit Findings Closure Rate: a low closure rate paired with a high compliance percentage points to an audit process bottleneck, not a policy adherence problem. That is a real, specific tension worth watching rather than treating the two as redundant, because they can diverge for structurally different reasons: compliance measures whether employees or systems currently meet policy, closure rate measures whether known gaps get fixed once found.
On the balanced scorecard this KPI sits in the internal perspective, alongside most of the group's top ranked metrics. Within that internal cluster it behaves as a leading indicator rather than a lagging one: the incident, detection, and response metrics that dominate the group's top eight describe what already happened, while policy compliance describes the condition that made those events more or less likely in the first place. A slipping compliance rate is one of the few internal-perspective signals in this group that shows up before an incident count moves, not after.
The raw inputs for this KPI usually live in two systems that rarely talk to each other cleanly: a GRC or policy management platform holding attestations and control assessments, and either an HRIS (for employee-level compliance, training completion, acceptable use sign-off) or a CMDB and endpoint management tool (for system-level compliance, patch baselines, configuration standards). Joining them honestly means deciding up front whether "compliant" refers to people, systems, or a blend of both. The formula itself is written as Employees or Systems, which is not a detail to gloss over: a blended percentage across two different denominators is not a comparable figure over time if the mix of employees versus systems in scope shifts from one period to the next.
Other definitional forks worth settling before measuring: whether compliance is scored as a strict all-or-nothing pass per policy, or as a weighted average across multiple policy domains (access control, acceptable use, encryption, data handling), which produces a smoother-looking number than a strict pass or fail count; and whether the measurement is a point-in-time audit snapshot or a continuously monitored figure pulled from automated tooling, since the two will not agree even when nothing else has changed.
Segmentation matters most by policy domain, since an aggregate compliance figure can hide a domain in real trouble behind domains that are trivially easy to satisfy, an acceptable use click-through, for instance, versus enforced multi-factor authentication. It also matters by workforce category: contractors and third-party staff are frequently excluded from the denominator even when they hold system access, which flatters the reported rate without reducing actual exposure.
The most common instrumentation trap is treating self-attestation as equivalent to verified compliance. An employee clicking through a training module or acknowledging a policy is not the same signal as a system scan confirming a control is actually configured and enforced, and blending the two into one number without labeling which is which is the easiest way to make this KPI look better than the underlying security posture actually is.
Many organizations underestimate the importance of ongoing training and awareness programs, which can lead to lapses in compliance.
Enhancing compliance with security policies requires a proactive approach to risk management and employee engagement.
We have 5 relevant benchmarks in our benchmarks database.
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | band | 2024 Edition | facilities | federal facilities | United States |
Source: Subscribers only
Source Excerpt: Subscribers only
Formula: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | 2018 | organizations | payment card industry | Americas | 302 engagements |
Source: Subscribers only
Source Excerpt: Subscribers only
Formula: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | 2018 | organizations | payment card industry | Asia-Pacific (APAC) | 302 engagements |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | organizations |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | range | medium and large | 2022 Edition | assets | healthcare | United States |
Browse the Top Benchmarked KPIs in ISO 27002 (IEC 27002)
Five sources touch this KPI, and none of them measure quite what the canonical formula defines. The Cybersecurity and Infrastructure Security Agency tracks a banded compliance measure across federal facilities in the United States (2024), a population defined by physical sites rather than by employees or systems. HHS 405(d) reports a range, not a point figure, for medium and large healthcare organizations (2022), scoped to assets rather than to people. Verizon's 2018 data, published in 2019, defines its metric explicitly as the share of organizations reaching full PCI DSS compliance at interim validation, reported separately for the Americas and for Asia-Pacific; that is a narrow, binary, payment-card-specific construct, not a general measure of security policy adherence, and the two geographic cuts should not be assumed to move together. A later Verizon entry from 2020 carries almost none of the same detail, no stated industry, geography, or formula, which makes it effectively impossible to compare against the earlier entries or against anything else in this list.
Put together, the five sources disagree on population (facilities, healthcare assets, organizations), on scope (federal government, healthcare, the payment card industry), and on what "compliant" even means: a banded score, a range, or a strict all-or-nothing PCI validation outcome. A figure lifted from any one of them and applied to a different population is not a benchmark, it is a category error. Before treating an externally sourced compliance figure as relevant, a customer should confirm the source's population actually matches theirs (facility versus organization versus system versus asset), confirm whether the underlying standard is PCI DSS, HHS 405(d), or a general security policy set, and check the vintage, since the Verizon PCI figures reflect 2018 assessment activity published in 2019, several years old relative to current policy environments.
Compliance with Security Policies is not itself named as a key result in the group's OKR examples, but the group's best-practice guidance ties it directly to the objective of elevating vulnerability and patch management to fortify system defenses, whose key results include cutting Vulnerability Remediation Time and raising Security Audit Findings Closure Rate. The stated logic is that closing audit findings enforces compliance and drives continuous improvement, which makes policy compliance the upstream condition that closure rate and remediation time are ultimately protecting.
A reasonable key result under that objective: raise the share of employees and systems meeting core security policy requirements to an illustrative, team-set target for the period, tracked alongside Security Audit Findings Closure Rate rather than in isolation, so a team cannot claim credit for a rising compliance percentage while audit findings sit open. Because compliance and closure rate can diverge for legitimate reasons, a bottleneck in the audit process rather than in policy adherence, pairing them as a two-part key result, or reviewing them together at each check-in, keeps either metric from being managed alone.
This KPI is associated with the following categories and industries in our KPI database:
KPI Depot takes you from KPI intelligence to finished deliverable. Consultants, strategy teams, FP&A leaders, and analytics teams use it to answer the two hardest questions in performance management, what to measure and what the target should be, and then to produce the scorecard itself.
The difference is intelligence, not just data. Anyone can list metrics. Every KPI in KPI Depot carries 13 practical attributes, from formula and measurement approach to diagnostic questions, risk warnings, and Balanced Scorecard perspective, across 15 corporate functions and 153 industries. And every target you set is grounded in our database of 34,304 source-attributed benchmarks, each detailing metric value, company size, time period, industry, geography, sample size, and source. Benchmark data at this scale is otherwise the domain of research services costing thousands to hundreds of thousands of dollars per year.
When your metrics are selected, KPI Depot finishes the job: export an interactive Strategy Map, a Balanced Scorecard with formulas and tracking columns, or a CSV KPI pack, and go from research to working deliverable in hours instead of weeks.
Formerly the Flevy KPI Library, KPI Depot is trusted by teams at organizations including Accenture, EY, IBM, PepsiCo, Samsung, and Vodafone.
Got a question? Email us at [email protected].
An ideal compliance rate typically exceeds 95%. This threshold indicates a strong commitment to security and risk management.
Regular audits should occur at least annually. However, more frequent assessments are advisable for organizations in high-risk industries.
Low compliance can lead to data breaches, regulatory penalties, and loss of customer trust. These consequences can severely impact financial health and operational efficiency.
Effective training programs raise awareness about security protocols and the importance of compliance. Engaged employees are less likely to make errors that could lead to breaches.
Third-party vendors can introduce risks if their compliance practices are not monitored. Organizations must ensure that partners adhere to similar security standards to mitigate vulnerabilities.
Yes, compliance management software can automate monitoring and reporting. These tools provide valuable insights and help organizations address compliance gaps in real time.
Each KPI in our knowledge base includes 13 attributes.
A clear explanation of what the KPI measures
The typical business insights we expect to gain through the tracking of this KPI
An outline of the approach or process followed to measure this KPI
The standard formula organizations use to calculate this KPI
Insights into how the KPI tends to evolve over time and what trends could indicate positive or negative performance shifts
Questions to ask to better understand your current position is for the KPI and how it can improve
Practical, actionable tips for improving the KPI, which might involve operational changes, strategic shifts, or tactical actions
Recommended charts or graphs that best represent the trends and patterns around the KPI for more effective reporting and decision-making
Potential risks or warnings signs that could indicate underlying issues that require immediate attention
Suggested tools, technologies, and software that can help in tracking and analyzing the KPI more effectively
How the KPI can be integrated with other business systems and processes for holistic strategic performance management
Explanation of how changes in the KPI can impact other KPIs and what kind of changes can be expected
NEW Mapping to a Balanced Scorecard perspective (financial, customer, internal process, learning & growth)