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