Shubhi
Asthana
Sr Research Software Engineer at IBM Research
"PIIGuardRails on LLMs - Protecting Personally Identifiable Information"
"PIIGuardRails on LLMs - Protecting Personally Identifiable Information"
24 - 5:50 PM EDT/New York (See in local time)
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05/24/2025 5:50 PM
05/24/2025 06:10 PM
America/New_York
#WTGC2025
"PIIGuardRails on LLMs - Protecting Personally Identifiable Information"
#WTGC2025
"PIIGuardRails on LLMs - Protecting Personally Identifiable Information"
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"PIIGuardRails on LLMs - Protecting Personally Identifiable Information"
"PIIGuardRails on LLMs - Protecting Personally Identifiable Information"
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Session: PIIGuardRails on LLMs - Protecting Personally Identifiable Information
PII (Personally Identifiable Information ) relates to any data that can be used to identify a specific person. In LLM models, there is a risk that PII sensitive information may get leaked. Non-sensitive personal information can become a risk when that data is pieced together to identify a person indirectly. For instance, gender, birthday, ethnicity, or medical information may disclose a person’s identity when combined with other information.This talk provides a novel ML-based engine to identify Personally Identifying Information for vast unstructured documents. It is the state-of-the-art engine which provides comprehensive PII coverage across multiple detectors, thus providing guardrails to LLM outputs.
Key Takeaways
- 1. Audience will acquaint themselves with PII detectors, and how sensitive information leaks in LLM
- 2. Audience will gain knowledge on state-of-the-art in Guardrails, and how to safeguard their PII
- 3. Audience will gain expertise in risk mitigation in vast unstructured documents.
Bio
Shubhi Asthana is a Sr Research Software Engineer who build AI & ML Solutions. She is SME in AI and ML models for Financial Services, along with leading the PII effort in Unstructured Data & NLP. Her research and development work spans the areas of Data Analytics, NLP and Cloud Services.