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Search Search CSRC MENU Search Search Projects Publications Expand or Collapse Drafts for Public Comment All Public Drafts Final Pubs FIPS (standards) Special Publications (SP s ) IR (interagency/internal reports) CSWP (cybersecurity white papers) ITL Bulletins Project Descriptions Journal Articles Conference Papers Books Topics Expand or Collapse Security & Privacy Applications Technologies Sectors Laws & Regulations Activities & Products News & Updates Events Glossary About CSRC Expand or Collapse Computer Security Division Cryptographic Technology Software Security Group Hardware Security Group Security Engineering and Risk Management Applied Cybersecurity Division Cybersecurity and Privacy Applications National Cybersecurity Center of Excellence (NCCoE) National Initiative for Cybersecurity Education (NICE) Contact Us Information Technology Laboratory Computer Security Resource Center Publications NIST SP 1800-43 (Initial Public Draft) Genomic Data Threat Modeling Share to Facebook Share to X Share to LinkedIn Share ia Email Documentation Topics Date Published: August 5, 2025 Comments Due: September 4, 2025 (public comment period is CLOSED) Email Questions to: [email protected] Author(s) Ronald Pulivarti (NIST) , Justin Wagner (NIST) , Brett Kreider (MITRE) , Stuart Shapiro (MITRE) , Julie Nethery Snyder (MITRE) , Kevin Wilson (MITRE) , Martin Wojtyniak (MITRE) , Phillip Whitlow (HudsonAlpha Institute for Biotechnology) , Scott Ross (HudsonAlpha Institute for Biotechnology) , Isabelle Brown-Cantrell (University of Alabama in Huntsville) , Patrick Pape (University of Alabama in Huntsville) , Jared Sheldon (University of Alabama in Huntsville) Announcement The NIST National Cybersecurity Center of Excellence (NCCoE) has just published draft Volumes A and C of NIST Special Publication (SP) 1800-43 , Genomic Data Threat Modeling. Volumes A (Executive Summary) and C (Privacy) are open for public comment through September 4, 2025 . Cybersecurity and privacy attacks pose significant challenges to genomic data processing environments due to the potentially sensitive and highly personal nature of genomic information. Unauthorized access, data breaches, or malicious tampering can derail business operations, compromise patient privacy, and erode trust. This NIST publication series describes a threat modeling approach that includes a methodological analysis of cybersecurity and privacy risks to system components and data transfers on representative genomic data workflows. Note: The Cybersecurity Threat Modeling for Genomic Data, previously released for public comment as a NIST Cybersecurity White Paper (CSWP) 35, will be published as Volume B of this special publication when finalized later this year. Abstract This paper provides an example of how to conduct genomic data threat modeling for privacy on a data processing environment, including documenting the architecture, identifying threats, applying sample interventions, and iterating the process as needed. The paper complements the earlier NIST CSWP 35, Cybersecurity Threat Modeling the Genomic Data Sequencing Workflow. This paper provides an example of how to conduct genomic data threat modeling for privacy on a data processing environment, including documenting the architecture, identifying threats, applying sample interventions, and iterating the process as needed. The paper complements the earlier NIST CSWP 35,... See full abstract This paper provides an example of how to conduct genomic data threat modeling for privacy on a data processing environment, including documenting the architecture, identifying threats, applying sample interventions, and iterating the process as needed. The paper complements the earlier NIST CSWP 35, Cybersecurity Threat Modeling the Genomic Data Sequencing Workflow. Hide full abstract Keywords DNA sequencing ; genomics ; genomic data ; genomic sequencing ; human genome ; threat modeling ; threat mitigation Control Families None selected Documentation Publication: No Download Available Supplemental Material: Project Homepage Document History: 08/05/25: SP 1800-43 (Draft) Topics Security and Privacy general security & privacy , modeling , privacy controls Technologies big data Laws and Regulations E-Government Act Sectors healthcare HEADQUARTERS 100 Bureau Drive Gaithersburg, MD 20899 X (link is external) facebook (link is external) linkedin (link is external) instagram (link is external) youtube (link is external) rss govdelivery (link is external) Want updates about CSRC and our publications? 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