🔒 OUR FRAMEWORK

The EythicaAI™ Governance Model

Our approach blends the most respected frameworks in privacy, AI ethics, and governance:

• Solove’s Privacy Taxonomy — mapping harms and risks to individual rights.
• NIST AI RMF — managing and measuring AI risks.
• ISO 27701 / 27001 / 42001 — aligning governance with security and privacy standards.
• Szabo AI Governance Matrix (SAIGM™) — integrating ethical, legal, and operational AI controls.

Why the SAIGM™ is Necessary

The rapid adoption of AI has outpaced traditional governance structures.
While frameworks like NIST AI RMF, ISO/IEC 42001, and OECD AI Principles define what responsible AI should look like, most organizations still struggle with how to implement it.

That’s where the Szabo AI Governance Matrix (SAIGM™) comes in.

It bridges the gap between compliance theory and operational execution — aligning ethics, data governance, risk management, and organizational accountability into one unified model.

SAIGM™ turns governance from a checklist into a living, measurable system.

Through layered domains and practical controls, it helps organizations embed Governance by Design™ — ensuring that AI remains transparent, auditable, and aligned with purpose.

Result:
A living governance ecosystem ensuring AI remains transparent, auditable, and aligned with purpose.