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Artificial Intelligence Presents New Challenges in Cybersecurity

机译：人工智能给网络安全带来新挑战

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摘要

Artificial Intelligence and Machine Learning (AI/ML) based solutions contain inherent vulnerabilities that are of growing concern as investment is made into applying these technologies to gain a strategic advantage in speed of response, analysis, and maneuver for both private industry and government applications. Current cybersecurity practices and tools must evolve to handle new vulnerabilities inherent to AI/ML enabled systems across all domains. This paper will explore how the tools and techniques to defend against attacks and exploits, both on AI/ML, and with AI/ML, fall short from the tools typically used by today's cybersecurity professional. It will explore both the intrinsic vulnerabilities due to model failure points and data poisoning strategies as well as address concerns that arise when our adversaries use AI/ML tools to their advantage. Some of these challenges present themselves as very advanced strategies brought on by nation state actors who have both time and resources. Other threats to our AI/ML systems are much less sophisticated but still seem to slip through the cracks because AI/ML is only beginning to gain significant momentum in real world applications.
机译：基于人工智能和机器学习（AI / ML）的解决方案包含固有的漏洞，随着对应用这些技术进行投资以在私营企业和政府应用的响应，分析和机动速度方面获得战略优势的投资，这些漏洞日益受到关注。当前的网络安全实践和工具必须不断发展，以处理所有领域中启用AI / ML的系统固有的新漏洞。本文将探讨抵御AI / ML以及AI / ML的攻击和利用的工具和技术与当今网络安全专业人员通常使用的工具之间的不足。它将探讨由于模型故障点和数据中毒策略而引起的固有漏洞，并解决当我们的对手使用AI / ML工具以发挥其优势时出现的担忧。这些挑战中的一些挑战本身是由既有时间又有资源的民族国家行为者提出的非常先进的策略。对我们的AI / ML系统的其他威胁要复杂得多，但似乎仍然可以克服，因为AI / ML在实际应用中才刚刚开始获得显着发展。

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