The best way to handle PII redaction before sending context to an agent involves a robust, automated, and multi-layered approach. It's crucial to employ automated tools leveraging machine learning (ML) models and rule-based systems to identify and redact sensitive information systematically, ensuring compliance with data privacy regulations like GDPR and CCPA. Techniques such as tokenization, masking, or outright removal should be applied based on the sensitivity and the agent's need for context-for instance, fully redacting names and addresses or masking most digits of account numbers. This process demands a post-redaction validation step, often including a limited manual review for highly sensitive or complex cases to verify accuracy and catch anything missed by automation. Ultimately, a comprehensive strategy combining advanced technology with clear policies offers the most secure and efficient method for safeguarding personally identifiable information. More details: https://prostonomer.ru/bitrix/rk.php?goto=https://infoguide.com.ua