LLMs: risks, rewards, and realities

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Nate Lee discusses his transition from a CISO role to fractional CISO work, emphasizing the importance of variety and exposure in his career. He delves into the rise of AI, particularly large language models (LLMs), and the associated security concerns, including prompt injection risks.
Nate highlights the critical role of orchestrators in managing AI interactions and the need for security practitioners to adapt to the evolving landscape. He shares insights from his 20 years in cybersecurity and offers recommendations for practitioners to engage with AI responsibly and effectively.
Takeaways
• Nate transitioned to fractional CISO work for variety and exposure.
• Prompt injection is a major vulnerability in LLM systems.
• Orchestrators are essential for managing AI interactions securely.
• Security practitioners must understand how LLMs work to mitigate risks.
• Nate emphasizes the importance of human oversight in AI systems.
Link to Nate's research (cloudsecuritya...) with the Cloud Security Alliance.
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