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  • Security of AI
  • AI-Test Range Scripts
  • AI-Security
  • AI-Governance
  • AI-Threats
  • AI-RTT
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    • Security of AI
    • AI-Test Range Scripts
    • AI-Security
    • AI-Governance
    • AI-Threats
    • AI-RTT
    • About
  • Security of AI
  • AI-Test Range Scripts
  • AI-Security
  • AI-Governance
  • AI-Threats
  • AI-RTT
  • About

AI-Governance

AI-Governance: The Foundation of Secure and Trustworthy AI

 AI Governance defines the policies, processes, and accountability mechanisms that ensure artificial intelligence is developed and deployed responsibly. At Security-of-AI.com, we emphasize the convergence of AI Governance and AI Security—where ethical oversight meets technical assurance.

Aligned with the NIST AI Risk Management Framework (AI RMF), our approach integrates governance principles (transparency, accountability, and fairness) with security disciplines (robustness, resilience, and threat mitigation). This convergence transforms governance from a compliance exercise into a strategic safeguard, ensuring AI systems are not only compliant and explainable but also protected against adversarial attacks, data poisoning, and model exploitation.

Our mission is to advance a unified framework where AI Risk, Governance, and Security operate together to build trustworthy, defensible, and mission-ready AI systems across public and private sectors.

Learn More About NIST AI-Risk Management Framework:

The National Institute of Standards and Technology (NIST) is a U.S. federal agency that develops standards, guidelines, and tools to ensure the reliability and security of technology, including artificial intelligence (AI). NIST's mission spans a wide array of fields from cybersecurity to physical sciences and engineering, aiming to promote innovation and industrial competitiveness.


In the realm of artificial intelligence, NIST introduced the AI Risk Management Framework (AI-RMF) to guide organizations in managing the risks associated with AI systems. The AI-RMF is designed to be a flexible and voluntary framework that helps stakeholders across various sectors understand, assess, and address the risks AI technologies can pose. This includes considerations for the ethical, technical, and societal implications of AI deployment. The framework emphasizes the importance of trustworthy AI, which means AI systems that are responsible, equitable, traceable, reliable, and governable while also being transparent, explainable, and accountable. 

NIST AI-RMF

For your best learning experience, we recommend you visit NIST official website specializing in AI-Risk Management Framework. The site provides resources, educational content, and professional services to help organizations navigate AI governance, risk assessment, compliance, and security.

Go To NIST AI-RMF

AI-Governance

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