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The MLSecOps Podcast
Finding a Balance: LLMs, Innovation, and Security
Feb 15, 2024
Explore the challenges of managing large language models and balancing innovation with security in the dynamic world of AI. Learn about the risks and rewards of AI integration, addressing bias in AI systems, navigating security risks in open source models, trust issues with AI tools, and the evolving threats in machine learning models.
41:56
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Quick takeaways
- Organizations must adapt security postures for AI usage and balance innovation with robust security measures.
- AI models introduce complexity to cybersecurity, requiring a shift in traditional security paradigms for effective management.
Deep dives
Challenges of Implementing AI Security and Governance
As AI technology, particularly language models, revolutionizes various industries, the challenge lies in understanding the potential risks and threats associated with its implementation in organizations. The podcast highlights the need for organizations to have comprehensive AI security and governance strategies to navigate the evolving landscape effectively. It emphasizes the importance of defining clear business objectives before incorporating AI tools and ensuring that metrics are in place to measure the efficacy of AI solutions.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode