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MixMode:2024 AI在网络安全中的现实与挑战白皮书:打破虚假承诺 释放变革潜力(中译版)(15页).pdf

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1、The False Promises of AI in CybersecurityIts time to cut through the hype,expose the false promises that have frustrated security teams,and chart a path forward to unlock the transformative potential of AI-driven cybersecurity.www.mixmode.aiWHITEPAPERContentsIntroduction 3A Brief History of AI in Cy

2、bersecurity 4The AI Arsenal:Tools and Techniques 6AI vs.Machine Learning:Understanding the Difference 7The False Promises and the Misled 8Seeing Through the Dark 10DARPAs Three Waves of AI:A Framework for Understanding 11Why Third-Wave AI is the Key to Effective Threat Detection 12MixMode:Revolution

3、izing Cybersecurity with Third-Wave AI 13Cheat Sheet 142|MixMode.ai1(858)225-2352 infomixmode.ai MixMode,Inc.The False Promises of AI in CybersecurityIntroduction3|MixMode.ai1(858)225-2352 infomixmode.ai MixMode,Inc.Cybersecurity is a battlefield where innovation is paramount.Artificial intelligence

4、(AI)has emerged as a potential game-changer,promising to revolutionize threat detection and response.Vendors have made bold claims,promising their AI-powered solutions will provide unparalleled capabilities,eliminate false positives,and autonomously defend against even the most sophisticated attacks

5、.However,reality tells a different story.A closer look reveals a landscape riddled with false promises and unrealistic expectations.Security teams have grown increasingly disillusioned as they grapple with the limitations of these AI-enabled tools,which often fall short of the grandiose claims made

6、by vendors.Vendors have made dark promises that have yet to materialize,leaving security professionals with tools that are still predominantly reactive and fall short,unable to keep up with the exponential growth of network traffic and connected devices.Its time to cut through the hype,expose the fa

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本文主要讨论了人工智能(AI)在网络安全中的应用及其面临的挑战。文章首先回顾了AI在网络安全中的发展历程,从早期的基于规则的系统到机器学习(ML)的兴起,再到深度学习(DL)的出现。接着,文章指出了当前AI在网络安全中的一些虚假承诺,如模糊的AI定义、对第三方技术的依赖、训练数据质量问题以及假阳性警报和关键事件处理问题。 文章还提到了DARPA提出的AI发展的三个阶段,并强调第三阶段AI(情境适应AI)在威胁检测中的关键作用,因为它能够适应不断变化的威胁,理解上下文,并减少假阳性警报。最后,文章介绍了MixMode公司,其基于第三阶段AI的平台能够检测已知和新型攻击,并通过风险评分来优先处理警报,从而减轻安全分析师的负担。
人工智能在网络安全中的真实潜力是什么? 第三波人工智能如何改变威胁检测? 如何评估网络安全供应商的人工智能承诺?
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