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NIST SP 1800-25 (Initial Public Draft)

Data Integrity: Identifying and Protecting Assets Against Ransomware and Other Destructive Events

Date Published: January 2020
Comments Due: February 26, 2020 (public comment period is CLOSED)
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Jennifer Cawthra (NIST), Michael Ekstrom (MITRE), Lauren Lusty (MITRE), Julian Sexton (MITRE), John Sweetnam (MITRE)


Ransomware, destructive malware, insider threats, and even honest user mistakes present ongoing threats to organizations. Organizations' data, such as database records, system files, configurations, user files, applications, and customer data, are all potential targets of data corruption, modification, and destruction. Formulating a defense against these threats requires two things: a thorough knowledge of the assets within the enterprise, and the protection of these assets against the threat of data corruption and destruction. The NCCoE, in collaboration with members of the business community and vendors of cybersecurity solutions, has built an example solution to address these data integrity challenges.

Multiple systems need to work together to identify and protect an organization's assets against the threat of corruption, modification, and destruction. This project explores methods to effectively identify assets (devices, data, and applications) that may become targets of data integrity attacks, as well as the vulnerabilities in the organization's system that facilitate these attacks. It also explores methods to protect these assets against data integrity attacks using backups, secure storage, integrity checking mechanisms, audit logs, vulnerability management, maintenance, and other potential solutions.



attack vector; asset awareness; data integrity; data protection; malicious actor; malware; ransomware
Control Families

None selected