NIST AI RMF vendors for Defense & National Security
Vendors that support NIST AI Risk Management Framework and explicitly serve defense & national security customers. Listings verified April 21, 2026.
| Vendor | HQ | Founded | Size | Pricing | Last verified |
|---|---|---|---|---|---|
| Arthur | New York, United States | 2018 | 51-200 | Shield has a free tier; enterprise monitoring is contact-only. | Apr 21, 2026 |
| LatticeFlow AI | Zurich, Switzerland | 2020 | 11-50 | No public pricing. Enterprise platform sold via direct sales. Contact sales for demo and pricing. | Apr 22, 2026 |
| HiddenLayer | Austin, United States | 2022 | 51-200 | Enterprise-only, contact sales for pricing. No public pricing listed on website. | Apr 22, 2026 |
| Protect AI | Seattle, United States | 2022 | 51-200 | Now integrated into Palo Alto Networks Prisma AIRS. Original standalone Protect AI pricing was enterprise-only, contact sales. Current pricing through Palo Alto Networks. | Apr 22, 2026 |
| TrojAI | Saint John, Canada | 2019 | 11-50 | Enterprise-only, no public pricing. Contact sales at troj.ai. | Apr 22, 2026 |
| Robust Intelligence | San Francisco, United States | 2019 | 11-50 | Now integrated into Cisco AI Defense / Cisco Security Cloud. Standalone Robust Intelligence is no longer sold independently. Pricing through Cisco. | Apr 22, 2026 |
| Credo AI | San Francisco, United States | 2020 | 51-200 | Enterprise-only; typical engagements start in the mid-five figures annually. | Apr 21, 2026 |
| Fiddler AI | Palo Alto, United States | 2018 | 51-200 | Contact for pricing | Apr 21, 2026 |
| OneTrust AI Governance | Atlanta, United States | 2016 | 1000+ | Enterprise platform; contact sales for quote, no public pricing listed | Apr 23, 2026 |
| Trustible | Arlington, United States | 2023 | 11-50 | Contact sales for enterprise pricing; no public plans listed | Apr 23, 2026 |
| ModelOp | Chicago, United States | 2018 | 11-50 | No public pricing listed; contact sales for enterprise quotes. | Apr 23, 2026 |
About NIST AI RMF
The NIST AI Risk Management Framework (AI RMF 1.0) provides a voluntary, rights-preserving, non-sector-specific, and use-case-agnostic approach to managing risks from AI. It is organized around four core functions — Govern, Map, Measure, and Manage — and is widely adopted by US federal agencies and enterprises as the de facto governance baseline.
Read framework guide →About Defense & National Security
Government contractors and defense primes. DoD Responsible AI Strategy, CJADC2 governance, and ICAM controls apply.
See all defense & national security vendors →