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USE CASE: FINTECH & BANKING

PCI-DSS-ready AI security

Deploy AI assistants in financial services with confidence. Prevent unauthorized financial advice, block fraud attempts, and protect transaction data.

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THE RULES, AND WHERE THEY RUNschematic
conditionruns onactioncontains_credit_cardREQUESTredactcontains_ssnREQUESTredactmatches_pattern, your own regexBOTHblockcontains_text_any, topics you disallowRESPONSEblockeach match returns action + reason + confidencewritten to the event record
The same rule processor runs twice: once over the request, once over the answer. Every match returns three things, the action, the condition that fired, and a confidence, and that triple is what lands in the event record an examiner will ask for.

Where a financial assistant is exposed

  1. 01

    Cardholder Data Controls

    Controls that support your PCI DSS obligations: detection and redaction of Luhn-checked card numbers, IBANs and routing numbers before they reach your LLM.

  2. 02

    Financial PII Protection

    Detect and redact IBANs, ABA routing numbers, SSNs, tax IDs and other financial identifiers with a fixed shape.

  3. 03

    Fraud Detection

    Identify suspicious patterns in user interactions. Block social engineering attempts and manipulation tactics targeting financial systems.

  4. 04

    Agent Tool-Call Checks

    Validate an AI agent's tool calls before they run. Calls that are dangerous are refused, and calls that need a person come back marked for human review.

  5. 05

    Disclaimer and Advice Policies

    Write an output policy that blocks an answer offering specific investment guidance without the disclaimer your compliance team requires. PromptGuard evaluates the response against your rule; it does not rewrite it.

  6. 06

    Audit Trail for Regulators

    Complete logging of all AI interactions. Export-ready reports for regulatory audits and compliance reviews.

Why PromptGuard for fintech?

  • Card and account number redaction
  • Financial PII detection out of the box
  • Agent tool-call checks
  • Regulatory audit support
  • Audit-ready logging

How it works for financial services

  1. 01

    Integrate

    Deploy PromptGuard as a gateway for your AI applications. Works with customer service bots, robo-advisors, and internal tools.

  2. 02

    Configure

    Choose the financial identifiers to redact, add an output policy for investment guidance, and check agent tool calls before they run.

  3. 03

    Comply

    Generate compliance reports, maintain audit trails, and demonstrate regulatory adherence.

Securing financial AI assistants

python
from promptguard import GuardClient

guard = GuardClient()  # reads PROMPTGUARD_API_KEY

# Which identifiers are redacted (cards, IBANs, routing numbers, SSNs) and
# the output policy for investment guidance are set on the project.
messages = [{"role": "user", "content": user_message}]
decision = guard.scan(messages, direction="input")

if decision.blocked:
    raise PermissionError(f"Blocked: {decision.threat_type}")

# A redacted request comes back with the values replaced
messages = decision.redacted_messages or messages

The controls this sector runs on

Secure your financial AI

Deploy AI in banking and fintech with enterprise-grade security and compliance controls.

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