data-security

LumiChats Offline is a free AI tool that operates entirely offline with zero data collection, prioritizing user privacy and local processing.

This article demonstrates how to build scalable web applications for PII detection using OpenAI's Privacy Filter model and Gradio Server, showcasing three specific app examples like document exploration and image anonymization.

OpenAI releases Privacy Filter, an open-weight model designed to detect and redact personally identifiable information (PII) in text with high efficiency and context awareness.

This case study empirically investigates where anonymization should be applied in Retrieval-Augmented Generation (RAG) pipelines to balance privacy and utility, examining the impact of anonymization at different stages (dataset vs. generated answer) to inform privacy risk mitigation strategies.

OpenAI introduces ChatGPT Health, a dedicated experience with enhanced privacy and security features that allows users to securely connect medical records and wellness apps to receive more personalized health guidance. The feature addresses the common use case of health queries on ChatGPT (230+ million weekly users) while maintaining strict data isolation and declining to use health conversations for model training.

OpenAI launches new compliance and administrative tools for ChatGPT Enterprise, including a Compliance API with audit logs, eight third-party integrations for eDiscovery and DLP, and SCIM support for identity management to help regulated enterprises manage security, compliance, and user access.

Salesforce integrates OpenAI's models into its Einstein AI Platform with enterprise-grade security features, offering generative AI capabilities for Sales, Service, and Commerce Cloud with the new Einstein Trust Layer to ensure data privacy and compliance.