I Tested Protecto DeepSight and Microsoft Presidio for PII Detection and Here's What Happened

Are your autonomous AI workflows leaking sensitive customer data? In this comprehensive PII detection demo, we compare the traditional NER-based Microsoft Presidio with the advanced LLM-based Protecto DeepSight. Discover how to secure your enterprise AI, stop format drifts, and prevent severe compliance risks like GDPR and HIPAA violations.

As AI agents process sensitive data at scale, traditional NER (Named Entity Recognition) models struggle with typos, obfuscation, and fragmented data. Watch how Protecto’s context-aware, hybrid architecture easily catches masked information, non-standard emails, and multilingual data that standard open-source tools completely miss.

📌 What You Will Learn:

–The escalating privacy risks in Agentic AI and third-party LLMs.
–Why NER-based detection requires constant, expensive retraining.
–How LLM-based detection handles noisy, fragmented, and obfuscated data.
–Live stress tests comparing Protecto DeepSight against Microsoft Presidio.

🔗 Follow on LinkedIn: https://www.linkedin.com/company/protectoai/
🔔 Subscribe for in-depth discussions on AI security, governance, and responsible AI: https://www.youtube.com/@protectoai/

🔗 Links & Resources:

Explore Protecto DeepSight: https://www.protecto.ai/case-studies/
Learn more about Enterprise AI Security: https://www.protecto.ai/product/privacy-vault/

#PIIDetection #aisecurity #Protecto #dataprivacy #machinelearning #DeepSight