PII Detection in AI Systems
Definition
The process of identifying and handling Personally Identifiable Information (PII) in AI system inputs, outputs, and stored data. PII includes names, email addresses, phone numbers, Social Security numbers, credit card numbers, and other data that can identify individuals. In AI agent systems, PII detection must happen before storage, before vector embedding, and before external API calls.
Why It Matters
AI agents process and store vast amounts of data, often including unintended PII. Without detection and scrubbing, PII can be embedded in vector databases (irrecoverable), logged in plaintext, or leaked through tool calls. GDPR, CCPA, and HIPAA all impose strict requirements on PII handling.
How Exogram Addresses This
Exogram's PII Air Gap scrubs personal data deterministically before storage — not via LLM inference. SSN, email, phone, and credential patterns are detected and redacted before facts enter the semantic ledger or vector index. Blocked data is never persisted.
Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees