Law / Frameworks / Crosswalk / OWASP LLM Top 10 to NIST Privacy Framework
The OWASP Top 10 for LLM Applications, mapped to the NIST Privacy Framework
1 of OWASP LLM Top 10's controls connects to 7 of NIST Privacy Framework's through 40 laws in 32 jurisdictions. Two controls connect when the same duties, in at least 2 laws we track, reach both. The connections are our own reading of the law; no framework publisher has reviewed or endorsed them.
- From
- OWASP Top 10 for LLM Applications, 2026 edition, August 2026, OWASP GenAI Security Project
- To
- NIST Privacy Framework, version 1.0, January 2020, National Institute of Standards and Technology
- See also
- NIST Privacy Framework to OWASP LLM Top 10, the other way · every pair in the crosswalk · law library as of
Download this mapping, with every law behind each connection: owasp-llm-top-10--nist-privacy-framework.csv · owasp-llm-top-10--nist-privacy-framework.json
Not connected to the NIST Privacy Framework: 9 of OWASP LLM Top 10's controls
No NIST Privacy Framework control on the same duties
Laws reach these, but no duty that reaches one of them also reaches a NIST Privacy Framework control.
- LLM01:2026 Prompt Injection, 3 laws
- LLM02:2026 Sensitive Information Disclosure, 3 laws
- LLM04:2026 Supply Chain, 3 laws
- LLM05:2026 Data and Model Poisoning, 3 laws
No law we track reaches these
No duty in the laws we track reaches these controls.
- LLM06:2026 Unbounded Consumption
- LLM07:2026 Misinformation
- LLM08:2026 Hidden Context Exposure
- LLM09:2026 Vector and Embedding Weaknesses
- LLM10:2026 Improper Output Handling
Lines of the news aggregation laws we track were not read against the NIST Privacy Framework, so none of them connects the two here (how each subject's lines were read).
How these connections are drawn
Each requirement line in the laws we track is read against the framework for its subject (the AI, scraping and news aggregation laws against the NIST AI RMF, the privacy, communications and age assurance laws against the NIST Privacy Framework, the cybersecurity laws against the NIST CSF 2.0); laws on liability and content moderation are not read against any framework yet. A line reaches the OWASP LLM Top 10 through a kind of duty its law carries, and only where that kind of duty also reaches, on that same line, the NIST framework for the line's own subject. Two controls connect when lines in at least 2 laws reach both. That says the same duties reach both; it does not say the two are alike, or that running either one does what a law asks.
A line placed on a control in the framework for its own subject, whose law carries a kind of duty that reaches another of the three frameworks read line by line, is read against that one as well: every such line, or only those whose wording reaches into it. For these two:
| Laws on | Read against the NIST Privacy Framework |
|---|---|
| AI | such lines on personal data and privacy, biometrics, likeness and identity, profiling, surveillance and consent |
| scraping | such lines on interception, monitoring, personal data and privacy |
| news aggregation | not read |
Every duty line in the AI and scraping laws we track has been read against the framework for its subject.
Sources and licenses
OWASP GenAI Security Project, OWASP Top 10 for LLM Applications 2026, licensed CC BY-SA 4.0. Excerpted: only the first paragraph of each entry's Description is reproduced, verbatim.