
Sign up to save your podcasts
Or
Introducing Inside DeepSeek’s Security Flaws from Threat Vector by Palo Alto Networks.
Follow the show: Threat Vector by Palo Alto Networks
Artificial intelligence is advancing fast, but with innovation comes risk. In this episode of Threat Vector, host David Moulton sits down with Sam Rubin, SVP of Consulting and Threat Intelligence at Unit 42, and Kyle Wilhoit, Director of Threat Research, to explore the vulnerabilities of DeepSeek, a new large language model. They dive into AI jailbreaking techniques like Bad Likert Judge and Deceptive Delight, uncovering how attackers can manipulate models to generate harmful content. The discussion highlights security risks, data integrity concerns, and why businesses must carefully evaluate AI tools before adopting them. Tune in for expert insights on the evolving cybersecurity landscape and what organizations can do to stay protected.
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 enables your team to prevent successful cyberattacks with an automated approach that delivers consistent security across the cloud, network, and mobile. http://paloaltonetworks.com
DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to [email protected].
4.2
474474 ratings
Introducing Inside DeepSeek’s Security Flaws from Threat Vector by Palo Alto Networks.
Follow the show: Threat Vector by Palo Alto Networks
Artificial intelligence is advancing fast, but with innovation comes risk. In this episode of Threat Vector, host David Moulton sits down with Sam Rubin, SVP of Consulting and Threat Intelligence at Unit 42, and Kyle Wilhoit, Director of Threat Research, to explore the vulnerabilities of DeepSeek, a new large language model. They dive into AI jailbreaking techniques like Bad Likert Judge and Deceptive Delight, uncovering how attackers can manipulate models to generate harmful content. The discussion highlights security risks, data integrity concerns, and why businesses must carefully evaluate AI tools before adopting them. Tune in for expert insights on the evolving cybersecurity landscape and what organizations can do to stay protected.
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 enables your team to prevent successful cyberattacks with an automated approach that delivers consistent security across the cloud, network, and mobile. http://paloaltonetworks.com
DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to [email protected].
3,924 Listeners
3,542 Listeners
91 Listeners
935 Listeners
320 Listeners
107 Listeners
80 Listeners
1,069 Listeners
785 Listeners
324 Listeners
713 Listeners
99 Listeners
85 Listeners
869 Listeners
97 Listeners
652 Listeners
152 Listeners
1,134 Listeners
5,324 Listeners
82 Listeners
403 Listeners
421 Listeners
66 Listeners
82 Listeners