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Defining a Maturity Scale for Governing Operational Resilience

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posted on 2022-02-04, 22:04 authored by Katherine StewartKatherine Stewart, Julia AllenJulia Allen, Audrey DorofeeAudrey Dorofee, Michelle A. Valdez, Lisa YoungLisa Young
Achieving operational resilience in today’s environment is becoming increasingly complex as the pace of technology and innovation continues to accelerate. Sponsorship, strategic planning, and oversight of operational resilience are the most crucial activities in developing and implementing an effective operational resilience management (ORM) system. These governance activities are described in detail in the CERT® Resilience Management Model enterprise focus (EF) process area (PA). To ensure operational resilience, an organization must identify shortfalls across these defined activities, make incremental improvements, and measure improvement against a defined, accepted maturity scale. The current version of the CERT Resilience Management Model (CERT-RMM V1.2) utilizes a maturity architecture (levels and descriptions) that may not meet the granularity needs for organizations committed to making incremental improvements in governing operational resilience. To achieve a more granular approach, the CERT-RMM Maturity Indicator Level (MIL) scale was developed for application across all CERT-RMM PAs. The CERT Division of Carnegie Mellon University’s Software Engineering Institute is conducting ongoing research around the current state of the practice of governing operational resilience and developing specific actionable steps for improving the governance of operational resilience. Study results provide the specific EF PA MIL scale for assessing maturity, identifying incremental improvements, and measuring improvements.

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This material is based upon work funded and supported by the Department of Defense under Contract No. FA8702-15-D-0002 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. The view, opinions, and/or findings contained in this material are those of the author(s) and should not be construed as an official Government position, policy, or decision, unless designated by other documentation. References herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by Carnegie Mellon University or its Software Engineering Institute. This report was prepared for the SEI Administrative Agent AFLCMC/AZS 5 Eglin Street Hanscom AFB, MA 01731-2100 NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. [DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited distribution. Please see Copyright notice for non-US Government use and distribution.

Date

2015-03-31

Copyright Statement

Copyright 2015 Carnegie Mellon University.

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    Cyber Risk and Resilience Management

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    In Copyright

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