Data Integrity: Identifying and Protecting Assets Against Ransomware and Other Destructive Events
Data breaches, ransomware, destructive malware, insider threats, and even honest mistakes present an ongoing threat to an organization’s infrastructure. Database records, system files, configurations, user files, applications, and customer data are all at risk should an attack occur. Organizations that do not implement identification and protection solutions leave themselves at risk for many types of data integrity attacks.
Demonstrating methods for organizations to effectively identify and protect assets against data integrity attacks
Project Abstract
Applying the Cybersecurity Framework to data integrity, this practice guide demonstrates how to identify and protect assets against a data integrity attack. In collaboration with industry experts and technology vendors, the project includes development of a reference design that uses commercially available technologies in an example solution that helps organizations mitigate data integrity attacks. The solution isolates vulnerabilities that would allow for cybersecurity events to occur and implements strategies to remediate those vulnerabilities.
Organizations that do not implement identification and protection solutions leave themselves at risk for many types of data integrity attacks.
Collaborating Vendors
Organizations participating in this project submitted their capabilities in response to an open call in the Federal Register for all sources of relevant security capabilities from academia and industry (vendors and integrators). The following respondents with relevant capabilities or product components (identified as “Technology Partners/Collaborators” herein) signed a Cooperative Research and Development Agreement to collaborate with NIST in a consortium to build this example solution.
Supplemental Resources
A white paper that provides an overview of the three Data Integrity projects and how they align with the NIST Cybersecurity Framework. This paper offers a high-level explanation of the architecture and capabilities, and it explains how these projects can be brought together into one comprehensive data integrity solution.
