Build a strict data filtering and anonymization layer at the integration point. The copilot should never see raw PII or financial data, working instead with tokenized or aggregated information. This adds latency and complexity but is non-negotiable for compliance. The risk is not baking this governance in from day one, which forces a painful and expensive refactor later.
Build a strict data filtering and anonymization layer at the integration point. The copilot should never see raw PII or financial data, working instead with tokenized or aggregated information. This adds latency and complexity but is non-negotiable for compliance. The risk is not baking this governance in from day one, which forces a painful and expensive refactor later.
This FAQ is part of Bringmark's live answer library and is exposed through dedicated URLs, structured data, sitemap entries, and LLM-facing discovery files.
Build a strict data filtering and anonymization layer at the integration point. The copilot should never see raw PII or financial data, working instead with tokenized or aggregated information. This adds latency and complexity but is non-negotiable for compliance. The risk is not baking this governance in from day one, which forces a painful and expensive refactor later.
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