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1 Uncuffed
Bridging AI and Cybersecurity Gaps with Mileva Security Labs’ Harriet Farlow
Manage episode 451214755 series 3591118
Join us in this episode of Threat Vector as guest host Michael Heller shares his conversation with Harriet Farlow, CEO of Mileva Security Labs and a pioneer in AI security research. With a background spanning AI and national cybersecurity, Harriet shares her journey into adversarial machine learning and the critical importance of addressing AI security vulnerabilities. They discuss how AI models are increasingly exposed to cyber-attacks and why organizations must adopt proactive security measures. Tune in to explore the technical and policy challenges of AI risk, key gaps in model security, and how Mileva Security Labs is working to close these. This episode is essential for cybersecurity leaders looking to protect their systems from evolving AI-based threats.
Join the conversation on our social media channels:
- Website: http://www.paloaltonetworks.com
- Threat Research: https://unit42.paloaltonetworks.com/
- Facebook: https://www.facebook.com/LifeatPaloAltoNetworks/
- LinkedIn: https://www.linkedin.com/company/palo-alto-networks/
- YouTube: @paloaltonetworks
- Twitter: https://twitter.com/PaloAltoNtwks
About Threat Vector
Threat Vector, Palo Alto Networks podcast, is your premier destination for security thought leadership. Join us as we explore pressing cybersecurity threats, robust protection strategies, and the latest industry trends.
The podcast features in-depth discussions with industry leaders, Palo Alto Networks experts, and customers, providing crucial insights for security decision-makers.
Whether you're looking to stay ahead of the curve with innovative solutions or understand the evolving cybersecurity landscape, Threat Vector equips you with the knowledge needed to safeguard your organization.
Palo Alto Networks
Palo Alto Networks enables your team to prevent successful cyberattacks with an automated approach that delivers consistent security across the cloud, network, and mobile. http://paloaltonetworks.com
61 حلقات
Manage episode 451214755 series 3591118
Join us in this episode of Threat Vector as guest host Michael Heller shares his conversation with Harriet Farlow, CEO of Mileva Security Labs and a pioneer in AI security research. With a background spanning AI and national cybersecurity, Harriet shares her journey into adversarial machine learning and the critical importance of addressing AI security vulnerabilities. They discuss how AI models are increasingly exposed to cyber-attacks and why organizations must adopt proactive security measures. Tune in to explore the technical and policy challenges of AI risk, key gaps in model security, and how Mileva Security Labs is working to close these. This episode is essential for cybersecurity leaders looking to protect their systems from evolving AI-based threats.
Join the conversation on our social media channels:
- Website: http://www.paloaltonetworks.com
- Threat Research: https://unit42.paloaltonetworks.com/
- Facebook: https://www.facebook.com/LifeatPaloAltoNetworks/
- LinkedIn: https://www.linkedin.com/company/palo-alto-networks/
- YouTube: @paloaltonetworks
- Twitter: https://twitter.com/PaloAltoNtwks
About Threat Vector
Threat Vector, Palo Alto Networks podcast, is your premier destination for security thought leadership. Join us as we explore pressing cybersecurity threats, robust protection strategies, and the latest industry trends.
The podcast features in-depth discussions with industry leaders, Palo Alto Networks experts, and customers, providing crucial insights for security decision-makers.
Whether you're looking to stay ahead of the curve with innovative solutions or understand the evolving cybersecurity landscape, Threat Vector equips you with the knowledge needed to safeguard your organization.
Palo Alto Networks
Palo Alto Networks enables your team to prevent successful cyberattacks with an automated approach that delivers consistent security across the cloud, network, and mobile. http://paloaltonetworks.com
61 حلقات
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