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SNAPSHOT AUDIT: OPERATIONAL DIAGNOSTIC
A 40-point technical assessment designed to identify governance gaps within the NIST AI RMF 1.0 and Texas TRAIGA 2026 frameworks.
THE AUDIT LOGIC ENGINE
The NTXDC Snapshot Audit utilizes a proprietary logic engine to map internal AI deployments against a universal NIST chassis. This process identifies critical liabilities in governance and incident readiness before they manifest as institutional failures.
GOVERN
Evaluation of institutional culture, policies, and personnel oversight for AI risk management.
MEASURE
Quantitative analysis of model performance, reliability, and bias using NIST-aligned metrics.
MAP
Cataloging AI systems and identifying specific operational risks within their deployment context.
MANAGE
Review of response protocols, ‘Kill-Switch’ workflows, and continuous monitoring efficiency.
- AUDIT_PROTOCOL: DELTA_SCAN_V1
The "Audit Parameters" Checklist
- [ ADVERSARIAL_ROBUSTNESS ]
- [ DATA_PROVENANCE_LOG ]
- [ PII_EXPOSURE_SCAN ]
- [ BIAS_MITIGATION_REVIEW ]
- [ TX_GOV_CODE_ALIGNMENT ]
- [ MODEL_DRIFT_BASELINE ]
// ENGAGEMENT_SEQUENCE
48-Hour Timeline
[ INTAKE ]
Hour 0-4
Scope definition and secure data ingestion
[ SCANNING ]
Hour 4-24
Automated diagnostic against NIST & TRAIGA pillars
[ SYNTHESIS ]
Hour 24-40
Manual risk weighting and mitigation strategy
[ DELIVERY ]
Hour 48
Final Executive Briefing and SITREP transmission
// Coming Soon
Continuous Monitoring
Real-time risk tracking for live models
[ STATUS: IN_DEVELOPMENT ]
Red Team Adversarial Audit
Stress-testing the AI against intentional attacks
[ STATUS: IN_DEVELOPMENT ]
Governance Policy Design
Building the internal rulebook for a company’s AI use
[ STATUS: IN_DEVELOPMENT ]
// INITIALIZE_ENGAGEMENT
REQUEST DIAGNOSTIC CONSULTATION
To initiate a Snapshot Audit for your organization, schedule a 15-minute briefing to define technical scope.