Adversarial Machine Learning: Realities of AI and ML in Cybersecurity | A Conversation with Dr. Anmol Agarwal | Redefining CyberSecurity with Sean Martin

Guest: Dr. Anmol Agarwal, Senior Security Researcher

On LinkedIn | https://www.linkedin.com/in/anmolsagarwal/

On Twitter | https://twitter.com/anmolspeaker

On YouTube | https://www.youtube.com/channel/UCuWzfnJyZ0S68kG5e-lUZ6w

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Host: Sean Martin, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining CyberSecurity Podcast [@RedefiningCyber]

On ITSPmagazine | https://www.itspmagazine.com/sean-martin

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Episode Notes

In this episode of Redefining CyberSecurity, host Sean Martin explores the complex world of artificial intelligence (AI) and machine learning (ML) with Dr. Anmol Agarwal, a senior security researcher at Nokia and adjunct professor at George Washington University. The discussion kicks off with a reflection on the evolving dialogue around AI and ML, shedding light on the critical role of machine learning as the backbone of AI technology. Dr. Agarwal emphasizes machine learning's influence on the accessibility and popularity of generative AI, thanks to its application in natural language processing.

The conversation transitions to Dr. Agarwal's intricate work on standardizing 5G and 6G technologies, underscoring the significance of security standardization in the rapid advancement of mobile technologies. Furthermore, they explore the utilization of machine learning in balancing network load and enabling emerging technologies like the metaverse, showcasing AI's prowess in facilitating fast data analytics.

A substantial portion of the episode is dedicated to adversarial machine learning, where Dr. Agarwal explains its definition as the study of attacking and defending machine learning models. Through examples such as the potential manipulation of Tesla's autopilot via adversarial techniques, they provide a vivid picture of the threats posed by malicious actors leveraging AI for harmful purposes. The episode concludes with an appeal for a deeper understanding of AI and ML beyond the buzzwords, promoting a pragmatic approach to integrating these technologies in cybersecurity strategies.

This episode offers valuable insights for cybersecurity leaders, CISOs, business executives, and security analysts, emphasizing the importance of comprehensive risk analysis and the ethical application of AI and ML in bolstering cybersecurity defenses.

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Resources

MITRE ATLAS: https://atlas.mitre.org/

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