Microsoft Presidio's default English NER pipeline misidentified a Greek tax number (ΑΦΜ) as an organization label, masking the words 'tax number' while allowing the actual number to pass through to lo…
A developer from Multigrid.ai argues that privacy-preserving redaction should occur early in the data pipeline, ideally after extraction but before chunking, rather than at the last moment before send…
A developer's AI support system had three data leak paths, not one, and the model output was the least dangerous. The return path from internal systems was unguarded, allowing personal data to enter t…
Guardrails AI has launched the Guardrails Hub, a searchable repository of 70 validators designed to ensure the safety, quality, and compliance of AI-generated text. The hub includes validators for det…
A developer evaluated five AI privacy tools—AI Privacy Gateway, LLM Guard, Nightfall, Private AI, and Microsoft Presidio—comparing them on deployment model, latency, streaming support, offline capabil…
A developer built a lightweight PII detection utility that runs inside InterSystems IRIS using Embedded Python, eliminating the need to export data for analysis. The tool scans tables, identifies PII …
Redgate's tutorial outlines five PII anonymization techniques for LLM pipelines, including format-preserving masking, pseudonymization, and synthetic-data substitution, to reduce exposure at entry poi…
Microsoft Presidio, an open-source framework for detecting and anonymizing personally identifiable information (PII) in text, images, and structured data, offers two core modules—the Analyzer and the …