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Data Privacy

321 summarised stories about Data Privacy, each linking back to the original source. Browse all topics →

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OpenAI Meta Anthropic Apple Amazon Google

Thursday, 10 September 2026

Model-agnostic PII detection with LLMs

Amazon Web Services 1 month ago 45

Model-agnostic PII detection was built as a configurable, instruction-driven LLM detector that can run on any LLM served through Amazon Bedrock or a self-hosted backend. It was benchmarked on five Hugging Face PII corpora containing 49,365 records and 222,114 ground-truth spans. The approach changes from fixed, retrainable token-labeling schemas to prompt-based configuration where adding or removing PII entity categories requires no retraining or redeployment.

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AI Security Large Language Models Data Privacy

Inside Key Changes in Data Policies, Ox Alpha Revealed, Taking Custom Models Beyond Fine-Tuning

The Batch 49 ● 28 sources

The article compares OpenAI and Anthropic’s business data retention rules for their most capable model offerings and describes changes being rolled out, including Anthropic’s move away from blanket retention. Anthropic’s new requirement is based on a 30-day conversation retention window for companies using Claude “Fable 5” before the fall availability of its Enterprise Frontier Safeguards program. As a result, some eligible enterprise customers can use newer model versions without Anthropic retaining their data (until the program is available), while OpenAI’s Private Safety Processing is positioned to scan requests automatically without logging business prompts for staff review.

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OpenAI AI Governance Anthropic Data Privacy

Microsoft's move in the AI school debate: controls over how student data gets used

Fortune 44 ● 2 sources

Microsoft announced a “National AI Safety & Privacy Standard” option for school districts to set enforceable contract rules for student data when using AI products. The standard includes a 72-hour requirement to report breaches once written into a district’s Microsoft agreement. Districts can require protections like bans on using student data to train AI models, prohibit student tracking, require human review for decisions, and may cancel contracts or seek damages if companies break the rules.

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AI Governance AI Safety Data Privacy Education

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