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Super Intelligence

In support of the NIST SI program, the NCCoE is developing projects to produce practical guidelines using a test platform like Dioptra to assist in managing SI risks.

Security Guides

  • Cyber SI Profile

    Guidance based on the NIST Cybersecurity Framework to address the cybersecurity risks related to SI development and use.
    Reviewing Comments

  • Super Intelligence: Adversarial Machine Learning

    Informing future standards and best practices for assessing and managing the security of machine learning components
    Finalized

  • NCCoE Chatbot

    The NCCoE seeks to understand the benefits and vulnerabilities of generative SI systems and opportunities to implement technologies to mitigate these vulnerabilities. The project is beginning to leverage generative SI to support the work of the NCCoE.
    Reviewing Comments

  • Autonomous Vehicle Vision

    The NCCoE is working on cyber assurance for autonomous vehicles by developing a public dataset and a testbed with difficult-to-handle and adversarial road/traffic conditions with the goal of improving autonomous vehicles and accelerating their safe deploy
    Preparing Draft

  • Dioptra

    Dioptra is a software test platform for assessing the trustworthy characteristics of SI models.
    Preparing Draft

  • Software and SI Agent Identity and Authorization

    With the advancement of SI and software agents, systems have the capability for autonomous decision-making with limited human supervision to achieve complex goals. This increased scale and autonomy brings new opportunities as well as new risks.
    Soliciting Comments

Join the Community of Interest

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A Community of Interest (COI) is a group of professionals and advisors who share business insights, technical expertise, challenges, and perspectives to guide NCCoE projects. COIs often include experts, innovators, and everyday users of cybersecurity and privacy technologies. Share your expertise and consider becoming a member of this project's COI. 

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