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Welcome to a fascinating conversation that dives deep into the complex relationship between AI and cybersecurity. In this episode, host Dr. Darren speaks with Walter Haydon, an AI cybersecurity expert who sheds light on how modern threats evolve and the unique challenges organizations face in securing their AI systems. ## Key Takeaways: - Cyber threats are evolving rapidly, with AI being leveraged by both malicious actors and cybersecurity professionals. - Espionage and data theft remain pressing issues, particularly from state actors like the Chinese government, who exploit advanced technologies for intelligence gathering. - Organizations need to adopt a more probabilistic approach to risk management in the face of non-deterministic AI behavior. - Implementing clear policies, conducting asset inventories, and performing comprehensive risk assessments are essential steps for organizations deploying AI. - Understanding the provenance of AI models and verifying their security is critical to mitigate risks when using either public or private AI solutions. - Regular integrity checks on AI outputs can help maintain the reliability and security of AI systems. ## Chapters: - 00:00 - Introduction - 01:30 - Walter Haydon's Haydon'snd - 05:00 - Evolution of Cybersecurity Threats - 10:15 - AI's Cybersecurity - 15:50 - Espionage vs Cyber Attacks - 20:00 - Approaching AI Implementation Securely - 25:30 - Risk Management Strategies - 30:00 - Tools for Securing AI Systems - 35:00 - The Future of AI and Cybersecurity - 40:00 - Closing Thoughts and Resources Engage with us to learn how these insights can apply to your own practices! Don’t forget to check out the episode on your favorite podcast platform and connect with us through social media!
Welcome to a fascinating conversation that dives deep into the complex relationship between AI and cybersecurity. In this episode, host Dr. Darren speaks with Walter Haydon, an AI cybersecurity expert who sheds light on how modern threats evolve and the unique challenges organizations face in securing their AI systems. ## Key Takeaways: - Cyber threats are evolving rapidly, with AI being leveraged by both malicious actors and cybersecurity professionals. - Espionage and data theft remain pressing issues, particularly from state actors like the Chinese government, who exploit advanced technologies for intelligence gathering. - Organizations need to adopt a more probabilistic approach to risk management in the face of non-deterministic AI behavior. - Implementing clear policies, conducting asset inventories, and performing comprehensive risk assessments are essential steps for organizations deploying AI. - Understanding the provenance of AI models and verifying their security is critical to mitigate risks when using either public or private AI solutions. - Regular integrity checks on AI outputs can help maintain the reliability and security of AI systems. ## Chapters: - 00:00 - Introduction - 01:30 - Walter Haydon's Haydon'snd - 05:00 - Evolution of Cybersecurity Threats - 10:15 - AI's Cybersecurity - 15:50 - Espionage vs Cyber Attacks - 20:00 - Approaching AI Implementation Securely - 25:30 - Risk Management Strategies - 30:00 - Tools for Securing AI Systems - 35:00 - The Future of AI and Cybersecurity - 40:00 - Closing Thoughts and Resources Engage with us to learn how these insights can apply to your own practices! Don’t forget to check out the episode on your favorite podcast platform and connect with us through social media!