
Sign up to save your podcasts
Or


Introducing Privacy and Data Protection in the Age of Big Data from Threat Vector by Palo Alto Networks.
Follow the show: Threat Vector by Palo Alto Networks
In this episode of Threat Vector, host David Moulton speaks with Daniel B. Rosenzweig, a leading data privacy and AI attorney, about the growing complexity of privacy compliance in the era of big data and artificial intelligence. Dan explains how businesses can build trust by aligning technical operations with legal obligations—what he calls “say what you do, do what you say.” They explore U.S. state privacy laws, global data transfer regulations, AI compliance, and the role of privacy-enhancing technologies.
Listen to his previous Threat Vector episode, Beyond Compliance: Using Technology to Empower Privacy and Security, at https://thecyberwire.com/podcasts/threat-vector/24/notes.
Threat Vector by Palo Alto Networks is your premier podcast 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].
By Impact Theory4.7
45914,591 ratings
Introducing Privacy and Data Protection in the Age of Big Data from Threat Vector by Palo Alto Networks.
Follow the show: Threat Vector by Palo Alto Networks
In this episode of Threat Vector, host David Moulton speaks with Daniel B. Rosenzweig, a leading data privacy and AI attorney, about the growing complexity of privacy compliance in the era of big data and artificial intelligence. Dan explains how businesses can build trust by aligning technical operations with legal obligations—what he calls “say what you do, do what you say.” They explore U.S. state privacy laws, global data transfer regulations, AI compliance, and the role of privacy-enhancing technologies.
Listen to his previous Threat Vector episode, Beyond Compliance: Using Technology to Empower Privacy and Security, at https://thecyberwire.com/podcasts/threat-vector/24/notes.
Threat Vector by Palo Alto Networks is your premier podcast 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].

16,119 Listeners

16,831 Listeners

21,202 Listeners

6,358 Listeners

14,004 Listeners

573 Listeners

4,457 Listeners

2,286 Listeners

8,484 Listeners

1,835 Listeners

224 Listeners

664 Listeners

29,186 Listeners

548 Listeners

921 Listeners