PII Leakage
PII Leakage is the unauthorized exposure, disclosure, or transmission of personally identifiable information (PII) through an AI system, application, model output, or connected data source.
What is PII Leakage?
PII leakage occurs when information that can identify or be linked to an individual is exposed to unauthorized users or systems. This can include names, email addresses, phone numbers, identification numbers, financial information, or other personal data. In AI applications, leakage can occur through prompts, model responses, logs, training data, retrieval systems, or connected tools.
Why is PII Leakage Important?
PII leakage can create privacy, security, and regulatory risks for individuals and organizations. Preventing it helps organizations protect personal information and reduce the risk of unauthorized disclosure. Controls such as data detection, redaction, access management, and output filtering can help mitigate these risks.
Common use cases
PII Leakage detection is commonly used in AI applications, chatbots, enterprise search, LLMs, data loss prevention, customer support systems, and AI monitoring.