Real Time Sentinel: An LLM Based PII Detector -- A Streaming Integration and Intelligence Platform
Summary: LLM-enhanced Real Time Sentinel in Striim for real-time PII detection and de-sensitization on high-velocity streams. SQL-like continuous queries, exactly-once semantics, fault tolerance, and low latency enable scalable masking at ETL, data lakes, and chatbot histories. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Alok Pareek (Striim Inc.)
- 2. Bhushan Khaladkar (Striim Inc.)
- 3. Sanket Malde (Striim Inc.)
- 4. Vamshi Saggurthi (Striim Inc.)
BibTeX Citation
@inproceedings{pareek_sigmod25,
title = {{Real Time Sentinel: An LLM Based PII Detector -- A Streaming Integration and Intelligence Platform}},
author = {Pareek, Alok and Khaladkar, Bhushan and Malde, Sanket and Saggurthi, Vamshi},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725127},
url = {https://dl.acm.org/doi/10.1145/3722212.3725127},
year = {2025}
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