DiscoverThe MLSecOps PodcastCrossroads: AI, Cybersecurity, and How to Prepare for What's Next
Crossroads: AI, Cybersecurity, and How to Prepare for What's Next

Crossroads: AI, Cybersecurity, and How to Prepare for What's Next

Update: 2024-10-29
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In this episode of the MLSecOps Podcast, Distinguished Engineer Nicole Nichols from Palo Alto Networks joins host and Machine Learning Scientist Mehrin Kiani to explore critical challenges in AI and cybersecurity. Nicole shares her unique journey from mechanical engineering to AI security, her thoughts on the importance of clear AI vocabularies, and the significance of bridging disciplines in securing complex systems. They dive into the nuanced definitions of AI fairness and safety, examine emerging threats like LLM backdoors, and discuss the rapidly evolving impact of autonomous AI agents on cybersecurity defense. Nicole’s insights offer a fresh perspective on the future of AI-driven security, teamwork, and the growth mindset essential for professionals in this field.

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Additional tools and resources to check out:
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Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

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Crossroads: AI, Cybersecurity, and How to Prepare for What's Next

Crossroads: AI, Cybersecurity, and How to Prepare for What's Next

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