CIS Consensus Information Security Metrics
Organizations struggle to make cost-effective security investment
decisions; information security professionals lack widely accepted
and unambiguous metrics for decision support. CIS established
a consensus group of industry experts to address this need.
The results is:
- A set of Consensus Security
Metrics and data set definitions that can be used
across organizations to collect and analyze data on
security process and performance outcomes
Initial Scope
Key criteria were established for the initial set of consensus
metrics. They were to develop a balanced combination of
unambiguous and logically defensible outcome and practice
metrics measuring:
- The frequency and severity of security incidents;
- Incident recovery performance, and;
- Use of security practices generally regarded as effective.
Developing metrics that utilize data commonly available in
most enterprises was recognized as a practical consideration.
Security Metrics Consensus Team Progress
A team of more than 100 government, private, and academic
experts worked to reach consensus on a small initial set of security outcome and practice metrics. They represent outcome and practice areas of
security regarded by the consensus group as important.
Currently, the consensus group has developed metrics covering
the following business functions:
- Application Security
- Number of Applications
- Percentage of Critical Applications
- Risk Assessment Coverage
- Security Testing Coverage
- Configuration Change Management
- Mean-Time to Complete Changes
- Percent of Changes with Security Review
- Percent of Changes with Security Exceptions
- Financial
- Information Security Budget as % of IT Budget
- Information Security Budget Allocation
- Incident Management
- Mean-Time to Incident Discovery
- Incident Rate
- Percentage of Incidents Detected by Internal
Controls
- Mean-Time Between Security Incidents
- Mean-Time to Recovery
- Patch Management
- Patch Policy Compliance
- Patch Management Coverage
- Mean-Time to Patch
- Vulnerability Management
- Vulnerability Scan Coverage
- Percent of Systems Without Known Severe Vulnerabilities
- Mean-Time to Mitigate Vulnerabilities
- Number of Known Vulnerability Instances
Metrics Schema
A security metrics schema has been developed that will serve as a structure
as a consistent structure for the definition of each metric so that terms, definitions, and computational aspects are unambiguous.
Future Benefits of the Planned CIS Information Security Metrics Service
Once a significant volume of outcome metrics data is available, a number of important purposes will be served:
- The ability for enterprises to compare their outcomes against the distribution curves derived from data populated by other entities, thus creating an intrinsic improvement mechanism by invoking the desire to remain competitive and innovative.
- The understanding of practical benefits and effectiveness of best practices such as monitoring information flows, risk assessment models, patching, configuration, and maturity models, as they affect the reduction of the frequency and impact of security incidents. In that respect, business outcome metrics will serve as the learning and feedback loop that is currently missing from these practices.
- The provision of a rational basis for formulating
information security strategy, analyzing its
implementation, and making cost-effective security
investments.
For More Information
If you are interested in actively participating as a member of the virtual, CIS Security
Consensus Metrics Team or have questions, please contact
CIS.