Law / Frameworks / NIST AI 200-2 Draft / The TEVV-Athlon Framework
NIST AI 200-2 2.2Define & Construct
The Define & Construct stage translates the high-level requirements articulated in the previous stage into a concrete assessment process that can provide the desired information about AI systems. This step involves establishing the key concepts or metrics which the evaluation aims to assess, which we refer to as Metrology Blocks.NIST TEVV-Athlon Framework for Evaluating AI Systems, initial public draft, August 2026 (NIST AI 200-2 ipd), 2.2
We read each law below as bearing on this step. That does not mean the step, done well, meets the law: what each law asks is on its own page. Law library as of .
The kinds of duty that reach it: security.
- 3
- laws
- 2
- jurisdictions
- 0
- with court rulings behind them
- 1
- not yet in force
Related controls in other frameworks the same duties, in at least two laws we track, reach both
- NIST AI RMFMEASURE 2.6 The AI system is evaluated regularly for safety risks – as identified in the..., 3 laws
- NIST AI RMFMEASURE 2.5 The AI system to be deployed is demonstrated to be valid and reliable...., 2 laws
- NIST AI RMFMEASURE 2.7 AI system security and resilience – as identified in the MAP function – are..., 2 laws
- NIST AI 600-1GAI-RISK-04 Data Privacy, 3 laws
- NIST AI 600-1GAI-RISK-09 Information Security, 3 laws
- OWASP LLM Top 10LLM01:2026 Prompt Injection, 3 laws
- OWASP LLM Top 10LLM02:2026 Sensitive Information Disclosure, 3 laws
- OWASP LLM Top 10LLM04:2026 Supply Chain, 3 laws
- 1 more in the OWASP LLM Top 10
- OWASP Agentic Top 10ASI01 Agent Goal Hijack, 3 laws
- OWASP Agentic Top 10ASI03 Identity and Privilege Abuse, 3 laws
- OWASP Agentic Top 10ASI04 Agentic Supply Chain Vulnerabilities, 3 laws
- MIT mitigations2.1 Model & Infrastructure Security, 3 laws
- MIT mitigations2.3 Model Safety Engineering, 3 laws
- MIT mitigations3.1 Testing & Auditing, 3 laws
- 1 more in the MIT mitigations
- NIST CSF 2.0PR.IR-03 Mechanisms are implemented to achieve resilience requirements in normal and..., 2 laws
- FINOS AIGFAIR-PREV-007 Legal and Contractual Frameworks for AI Systems, 3 laws
- FINOS AIGFAIR-PREV-008 Quality of Service (QoS) and DDoS Prevention for AI Systems, 3 laws
- FINOS AIGFAIR-PREV-012 Role-Based Access Control for AI Data, 3 laws
- 4 more in the FINOS AIGF
- ETSI EN 304 2235.1.2-2 System built to hold up against adversarial attacks, unexpected inputs and failures., 3 laws
- ETSI EN 304 2235.1.3-1 Threat modelling and risk management, reviewed regularly and covering..., 3 laws
- ETSI EN 304 2235.2.1-4 Sensitive data such as training and test sets protected from unauthorised access., 3 laws
- 1 more in the ETSI EN 304 223
A law in force is unmarked; the rest wear their state: not yet in force
AI risk obligations
2 laws, 2 jurisdictions| Jurisdiction | Law | How it reaches this step |
|---|---|---|
 European Union |
AI Act, Article 15 (accuracy, robustness and cybersecurity) from , in 13 months |
Through its security duty. What it requires |
 Italy |
Codice Penale Art. 437-bis, Omitted Safety Measures in High-Risk AI Systems and Unlawful Alteration of Them |
Through its security duty. What it requires |
AI sector rules
1 law, 1 jurisdiction| Jurisdiction | Law | How it reaches this step |
|---|---|---|
| European Union |
MiFID II Algorithmic Trading Controls: Resilient Systems, Testing, Kill Functionality, Records and Notification (Article 17 and RTS 6) |
Through its security duty. What it requires |
Excerpts of the NIST TEVV-Athlon Framework for Evaluating AI Systems, public domain (a US government work). Every step of the framework.