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.

21:01

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Anand Oswal

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Episode notes

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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.

Intro

2min

Navigating AI Security Challenges

4min

Navigating AI Security Challenges in Enterprise Applications

2min

Navigating Shadow AI Risks

8min

Navigating Cybersecurity in the Age of AI

5min

Anand Oswal, Senior Vice President and General Manager of Network Security at Palo Alto Networks, discusses the rapid adoption of AI in business and the critical importance of securing AI applications.
As organizations increasingly use AI to enhance productivity and transform customer experiences, they face new challenges in mitigating risks associated with data exposure, supply chain vulnerabilities, and runtime threats. Anand emphasizes the need for a comprehensive approach to securing AI-powered applications, from ensuring visibility and control over employee usage to protecting against configuration risks and runtime attacks.
*Key Takeaways:*
• Secure AI applications by design
• Manage Shadow AI risks
• Protect AI-powered applications from threats
• Balance security and productivity
• Adopt a platform-centric security approach
*Watch this episode to learn:*
• How to secure AI applications and mitigate risks
• Strategies for managing Shadow AI and protecting sensitive data
• Best practices for protecting AI-powered applications from threats
• How to balance security and productivity in the age of AI
• The benefits of a platform-centric approach to network security
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#aisecurity #cybersecurity #networksecurity #paloaltonetworks #cxotalk #digitaltransformation

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