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Artificial Intelligence Cybersecurity Framework: Preparing for the Here and now With Al

机译:人工智能网络安全框架:为这里和现在准备

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Increased growth in the use of Al is lacking a cybersecurity and privacy framework In the paper Al secure development is introduced along with Al Dev/Sec/Ops which leads into the creation and understanding of having an Al cybersecurity framework for ML, DNN and CC systems. Al deviations are examined along with twenty Al cyber security issues which require the cybersecurity community to become learned and develop mitigations. The Al Cybersecurity framework addresses threat forecasting and risk trees as well Al system hardening and continuous monitoring. The paper can be used by cybersecurity professionals to start implementing an Al cybersecurity program to ensure Al systems meet the security and privacy requirements of the system throughout the AI-DLC of the system.
机译:使用AL的使用增长缺乏网络安全和隐私框架在论文中,并与AL DEV / SEC / OPS一起引入了建立和理解ML,DNN和CC系统的创造和理解。审查AL偏差以及需要网络安全群落的二十世纪网络安全问题,以学习和发展缓解。 AL网络安全框架也解决了AL系统硬化和持续监测的威胁预测和风险树。该论文可以由网络安全专业人员使用,开始实施AL网络安全计划,以确保AL系统符合系统整个系统的安全性和隐私要求。

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