CXOTalk: Leadership, AI, and the Digital Economy
AI and Cybersecurity Update from Palo Alto Networks
Aug 6, 2024
Anand Oswal, Senior Vice President and General Manager of Network Security at Palo Alto Networks, shares insights on the intersection of AI and cybersecurity. He discusses the rapid rise of AI in businesses and its associated risks, including data exposure and unauthorized applications, known as 'shadow AI.' Anand stresses the importance of securing AI applications by design and balancing security with productivity. He advocates for a platform-centric security strategy to effectively protect sensitive data and tackle the complexities of AI threats.
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Quick takeaways
- Securing AI applications by design is essential to mitigate risks associated with data exposure and shadow AI usage by employees.
- A platform-centric approach to network security enhances visibility, control, and adaptability in addressing both traditional and emerging AI vulnerabilities.
Deep dives
The Importance of Securing AI by Design
Securing AI by design is crucial for organizations as employees increasingly utilize AI applications, often without IT awareness. This phenomenon, known as shadow AI, poses risks of exposing sensitive data and necessitates companies to maintain visibility into which applications are being used. Organizations must assess whether to allow, deny, or limit access to these applications while ensuring they implement the right data protection and threat prevention measures. The approach highlights the need for proactive security measures right from the inception of AI application development to effectively safeguard enterprises' operations.
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