FIELD REPORT · SECURITY
Zero Trust Applied to AI System Access
Granular policy, context gating, and auditability for AI stack components.
- PUBLISHED
- September 15, 2025
- UPDATED
- May 15, 2026
- READ TIME
- 1 MIN
- AUTHOR
- ONE FREQUENCY
KEY FACTS
- Topic
- security, zero-trust, ai
- Published
- September 15, 2025
- Last updated
- May 15, 2026
- Read time
- 1 min
- Word count
- 45
Applying Zero Trust to AI platforms means authenticated tooling per function (ingest, transform, inference, eval) with contextual access evaluation. We implement token-bound short-lived credentials, signed prompt template registries, and policy engines mediating high-risk tool invocation.
Result: minimized blast radius and forensic clarity for incident response.
SOURCES
Cited and consulted.
- 01OWASP Top 10 — Web application security risksowasp.org
- 02CISA — Zero Trust Maturity Modelcisa.gov
- 03NIST SP 800-207 — Zero Trust Architecturenvlpubs.nist.gov
- 04NIST AI Risk Management Framework (AI RMF 1.0)nist.gov
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