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  • SADAR
    • Governance
      • Governance & oversight
        Oversight structures, regulatory alignment, and audit frameworks for AI accountability.
      • AI security
        Safeguarding AI systems from threats, tampering, and supply chain risks.
      • Continuous monitoring
        Ongoing assessment for drift, bias, and decision quality in AI systems.
      Control
      • AI control
        Defining boundaries, enforceable policy, and operational guardrails for AI agents.
      • Responsible use
        Ethical deployment, transparency, and stakeholder trust in AI adoption.
      • Infrastructure
        Standards-driven architecture for traceability and cross-boundary audit trails.
      Resources
      • Position paper
        Explore the governance case for trustworthy AI.
      • Community
        Join the open community advancing AI standards.
      • Newsletter
        Subscribe for updates on frameworks and standards.
    • Close the governance gap in AI

      Discover open standards, frameworks, and tools for building accountable, trustworthy AI systems.

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  • SADAR
    Explore SADARSADAR's ValueWhat SADAR SolvesSADAR DetailsAbout SADARSpecifications
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