Thursday, September 11th from 10:00am – 11:00am PT
The rise of AI agents promises a leap in productivity, but also introduces new risks for your most sensitive data. Traditional Data Loss Prevention (DLP) tools, built on outdated static rules and regex, simply can't keep up. The of lack contextual understanding leads to a deluge of false positives and alert fatigue.
Join us to explore a new paradigm: fine-tuning Small Language Models (SLMs) for high-fidelity, context-aware data protection that accurately identifies and stops sensitive data leaks.
In this webinar, you're learn how to:
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Identify new data exposure risks from LLMs and agentic workflows
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Move beyond legacy DLP systems that are inadequate for the AI era
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Solve the "context problem" with models trained on nuanced, sensitive data
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Fine-tune a SLM for precise PII and custom-entity detection
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Unlock context-aware sensitive data detection with Predibase + Rubrik
- Build a data flywheel for a continuously evolving AI-powered DLP
Save your spot to get started building more secure agentic workflows and unleashing AI innovation with confidence.
