Stop sensitive data leaks in AI agents l Context-Aware DLP with SLMs (Predibase + Rubrik)

Predibase by Rubrik ยท Advanced ยท๐Ÿง  Large Language Models ยท6mo ago
๐Ÿ”” SUBSCRIBE for the latest on LLM fine-tuning, AI security, AI governance and observability ๐Ÿ‘‰https://www.youtube.com/@Predibase ๐Ÿ”— Check out Agent Rewind: https://pbase.ai/agent-rewind-wbnr ๐Ÿ”— Slides: https://docs.google.com/presentation/d/1o12oc11CvtI_s5_u3RH6K0MGK3AcASQ4Hw9wGquzTU8/edit?usp=sharing If youโ€™re a CISO, CTO, CIO, ML engineer, developer, or data security leader, this session is for you. AI agents are revolutionizing productivity โ€” from DevOps to customer support โ€” but theyโ€™re also creating a massive new attack surface for data leaks. Traditional Data Loss Prevention (DLP) โ€ฆ
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Chapters (3)

Welcome & logistics (Natasha)
1:20 Why AI agents create new data leak risks
2:40 Tra
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
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5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)