Threat Vector by Palo Alto Networks cover image

Threat Vector by Palo Alto Networks

Bridging AI and Cybersecurity Gaps with Mileva Security Labs’ Harriet Farlow

Nov 21, 2024
Harriet Farlow, CEO of Mileva Security Labs and a PhD candidate in adversarial machine learning, discusses the critical intersection of AI and cybersecurity. She shares her transformative journey from physics to AI security, emphasizing urgent vulnerabilities inherent in AI technologies. Farlow advocates for proactive security measures and the importance of robust policy reforms. The conversation highlights unique attack surfaces in AI systems and stresses enhancing AI literacy among professionals to combat evolving threats.
27:17

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Organizations must integrate cybersecurity methodologies into their AI practices to address vulnerabilities from adversarial machine learning.
  • There is an urgent need for education on AI security risks to build awareness and mitigate exploitable vulnerabilities in AI models.

Deep dives

The Emerging Threat of AI Security

AI security is becoming an increasingly relevant concern as both nation states and criminal actors have the ability to hack AI systems. Many organizations are still unaware of the risks associated with adversarial machine learning, which can leave their systems vulnerable. For instance, Harriet Farlow highlights that while AI and cybersecurity teams often operate in silos, it is critical for organizations to integrate cybersecurity methodologies into their AI practices. This lack of awareness puts businesses at risk, especially since there are currently no mandated regulations governing AI security.

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