Select any framework to see a sample of its control points and request a full, human-delivered compliance assessment.
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🌐 Global
NIST AI RMF 1.0
NIST Artificial Intelligence Risk Management Framework
The definitive US federal AI risk framework covering GOVERN, MAP, MEASURE, and MANAGE functions across the full AI lifecycle. Increasingly required for government contractors and financial institutions.
GOVERN
MAP
MEASURE
MANAGE
AI Risk Register
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🌐 International
ISO/IEC 42001:2023
Information Technology — AI Management System
The world's first international standard for AI management systems. Provides a structured framework for responsible AI development, deployment, and governance. Compatible with ISO 27001/9001.
Context of Org
Leadership
Planning
Operations
Performance Eval
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🇪🇺 EU Regulation
EU AI Act
European Union Artificial Intelligence Act (Regulation 2024/1689)
World's first comprehensive AI law with tiered risk classification (Unacceptable, High, Limited, Minimal). Non-EU companies serving EU customers must comply. Fines up to €35M or 7% global revenue.
Risk Classification
Transparency
Human Oversight
Data Governance
Conformity Assessment
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✔ Open Standard
OWASP LLM Top 10
Open Worldwide Application Security Project — LLM Applications 2025
The definitive security standard for LLM applications covering the 10 most critical security risks — from prompt injection to supply chain vulnerabilities. Updated for agentic and RAG architectures.
LLM01: Prompt Injection
LLM02: Insecure Output
LLM06: Sensitive Info
LLM08: Vector Weakness
+6 more
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🇮🇳 India
DPDP Act 2023
Digital Personal Data Protection Act, 2023 (India)
India's comprehensive data protection law governing how organizations collect, store, and use personal data. Critical for all AI systems processing Indian user data. Penalties up to ₹250 crore.
Consent Management
Data Localization
Fiduciary Obligations
Grievance Redressal
Minor Protection
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🌐 Adversarial
MITRE ATLAS
Adversarial Threat Landscape for Artificial-Intelligence Systems
The ML/AI-specific threat matrix from MITRE — 14 tactics, 72 techniques. Used by red teams, threat hunters, and security architects to model adversarial attacks against AI systems.
Model Evasion
Data Poisoning
Model Inversion
Model Extraction
Prompt Injection