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Personally Identifiable Information

Personally Identifiable Information (PII) is data that can identify a specific individual — either alone or in combination with other available data. Direct identifiers include name, Social Security number, driver's license, email address, phone number, biometric data, and government IDs. Indirect identifiers include date of birth, ZIP code, gender, and ethnicity (which together can re-identify many individuals even when names are removed — Latanya Sweeney famously showed 87% of Americans could be uniquely identified from just ZIP+DOB+gender). PII is the central object of most privacy regulations — GDPR uses the broader term "personal data," CCPA uses "personal information," and HIPAA uses "protected health information." In AI, PII can leak through training data memorization, inference inputs, retrieved context, generated outputs, and model embeddings. AI governance, AI compliance, and AI risk management programs require PII detection, classification, masking, and audit across the AI lifecycle — supporting responsible AI deployment in every enterprise AI environment processing personal data.

Centralpoint Keeps PII Inside Your Walls: Oxcyon's Centralpoint AI Governance Platform processes prompts and skills on-premise — meaning PII doesn't have to leave your environment to use AI. Model-agnostic across OpenAI, Gemini, Llama, and embedded models, Centralpoint meters consumption and embeds PII-aware chatbots into your portals via a single line of JavaScript.


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