Mar 4
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Donato Capitalla—Principal Security Consultant at Reversec—dives into the critical security measures required to deploy large language models (LLMs). He highlights the importance of establishing robust guardrails to protect AI systems from vulnerabilities and misuse. Discover how these frameworks ensure AI applications operate safely and effectively within organizational settings. 📍 Donato Capitalla – Principal Security Consultant at Reversec Specializes in securing AI systems and implementing guardrails for LLMs. 📍 Alex Mohacs – Exec Producer, The New Default Understanding the essential security frameworks for AI deployment. You'll learn: Why establishing guardrails is crucial for LLM security How to identify and mitigate vulnerabilities in AI systems What role governance plays in AI application safety Why continuous monitoring is essential for AI systems How to implement effective security protocols for LLMs 🧠 "Security isn't just about defense; it's about building trust in AI systems." TIMESTAMPS: 00:00 Welcome & introduction 00:15 Importance of AI security 01:05 Establishing guardrails for LLMs 02:30 Identifying vulnerabilities in AI systems 03:45 Role of governance in AI safety 05:00 Continuous monitoring practices 06:15 Implementing security protocols 08:00 Closing thoughts – "Building trust through robust AI security measures." Want more AI content? 🔍Explore The New Default https://www.thenewdefault.com 🌐Follow us on LinkedIn https://pl.linkedin.com/company/monterail