Sponsored by AI-RMF® LLC
What is Security of AI™?
Security of AI™ is the Convergence of AI-Governance, AI-Security and AI-Assurance
Why is Security of AI™ Important?
Security of AI™ Philosophy
This is the overarching umbrella that integrates ethical, technical, and operational safeguards to ensure AI systems are trustworthy and resilient.
The Three Pillars (Convergence)
- AI Governance: The "Directive" layer. It sets the policies, ethical boundaries, and legal compliance requirements. It defines what must be protected and why.
- AI Security: The "Protective" layer. It focuses on the technical defenses (e.g., adversarial hardening, data poisoning protection, and secure model weights). It defines how to defend the system.
- AI Assurance: The "Veridical" layer. It provides the evidence, auditing, and testing (V&V) to prove that the governance and security measures are working. It defines the proof of safety.
The Operational Engine: AI-RMF
You use the Map, Measure, Manage, and Govern functions to bridge the pillars:
- Translate Governance policies into risk profiles.
- Identify technical Security controls based on those risks.
- Supply the metrics used for AI Assurance auditing.
Supporting Infrastructure
You specialize in the sub-disciplines that feed the AI-RMF:
- Organizational: AI Impact Assessments (AIIA) and Inventory/Classification.
- Technical: Adversarial ML (AML) Taxonomies, Data Provenance, and AI-BOM (Bill of Materials).
- Verification: Red-Teaming, Explainability (XAI) Tools, and Continuous Monitoring.
AI-RMF® LLC
Whether you're using, building, deploying, or acquiring artificial intelligence systems, AI-RMF® using our Security of AI™ Philosophy helps you operationalize AI-Governance.
"Security of AI": YouTube Channel
The goal of the "Security of AI" YouTube Channel is to raise awareness, provide educational opportunities and report of relevant SOAI News Commentary. We aim to help people, at all levels, understand the impact and importance of AI-Governance, AI-Security and AI-Assurance. We reveal life challenges and how AI systems fail in the real world—and what happens next. We produce AI security thrillers showing worst-case scenarios, breaking news analysis on live incidents and vulnerabilities, and deep-dive frameworks covering OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF. From Agentic AI threat modeling to Red Team Test techniques, we show defenders how to spot risks before they become disasters.