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The Everything Feed - All Packet Pushers Pods

HN754: Secure AI by Design with Palo Alto Networks (Sponsored)

Oct 18, 2024
Rich Campagna, Senior Vice President of Product for Network Security at Palo Alto Networks, dives into the pressing security risks posed by generative AI. He discusses the critical importance of safeguarding employee productivity while navigating third-party AI tools. The conversation highlights challenges within healthcare AI applications, particularly around patient data privacy. Campagna also emphasizes the urgency for organizations to adapt their security frameworks to combat sophisticated cyber threats, advocating for a 'Secure AI by Design' approach.
52:37

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The increasing use of generative AI tools introduces significant security risks that enterprises must evaluate to protect sensitive data.
  • Organizations face evolving challenges similar to past shadow IT issues, requiring updated strategies for risk management with user-driven AI adoption.

Deep dives

Understanding Gen.AI Security Risks

Using generative AI tools poses significant security risks for enterprises. Employees utilizing third-party applications, such as ChatGPT or Google’s Notebook NLM, can inadvertently expose sensitive company data by allowing these tools to access and learn from internal information. Enterprises need to recognize the importance of evaluating the risks associated with these applications, particularly how they might use the data to train their models. Companies are encouraged to integrate these transformative tools into their workflows while concurrently implementing strict controls to ensure data security and compliance.

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