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Defense in Depth

Mitigating Generative AI Risks

Nov 30, 2023
Guest Jerich Beason, CISO, WM, discusses the risks of generative AI and the need for understanding, prioritizing safety, and adapting to its transformative nature. The chapter also explores building a trusted security framework and the challenges and evolution of AI.
32:38

Episode guests

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Quick takeaways

  • Applying lessons from past technological advances can help mitigate risks associated with generative AI.
  • Creating separate policies for public and private AI models is crucial to protect intellectual property and build trust with AI.

Deep dives

Understanding and Managing Risk with AI

Managing risk with emerging technologies like AI can be challenging, as the risks are not always clear. It is important to apply lessons learned from past technological advances to mitigate risks with AI. This involves considering use cases, creating an AI policy, and prioritizing risk management. Additionally, organizations should explore both public and private AI models, as the latter poses additional risks and requires protection of intellectual property. Building a culture of trust and transparency, along with continuous education and awareness of AI-related threats, can help organizations navigate the risks associated with AI.

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