The problem
- Card data in AI prompts.PCI-DSS Level 1 violation.
- Cloud model processes account numbers.AML audit trail broken.
- Transaction history exposed.GDPR + PCI double liability.
The solution
Card data never leaves your node.
Card numbers detected and routed off the cloud path before the LLM sees the prompt. PCI-DSS compliance becomes an architectural property of your system — not a checklist item your auditor has to take on faith.
PCI DSS Req. 3.4
"Primary account numbers (PAN) must be rendered unreadable anywhere they are stored, using strong one-way hash functions, truncation, index tokens, or strong cryptography."
Card data and account numbers removed before any model sees the prompt. PCI scope reduced.
Frequently asked questions
Can I send card numbers to an AI model under PCI DSS?
PCI DSS Req. 3.4 requires PANs to be rendered unreadable wherever stored, and putting card data into cloud prompts expands your PCI scope. Privedge detects and removes PAN and account data before the prompt leaves your path.
Does this reduce my PCI DSS audit scope?
It can. If cardholder data never enters the AI path, that component no longer stores, processes or transmits CHD — a core scope-reduction principle. Always confirm scope with your QSA.
Which financial identifiers are detected?
Card numbers (with validation), IBANs and account references via regex, plus names and other PII via optional NER. Rules are configurable for your own transaction formats.
Does this support AML record-keeping?
Privedge keeps a metadata-only audit trail (no prompt content) of every request, so you retain a verifiable record of how sensitive financial data was handled.