Financial Data Detection
Understanding the Concept
Financial data is among the most commonly protected information types. Microsoft provides extensive built-in SITs for credit cards, bank account numbers, IBANs, SWIFT codes, and tax identification numbers across multiple regions.
PCI-DSS compliance requires protection of cardholder data, making credit card detection a critical use case. The built-in Credit Card Number SIT uses the Luhn algorithm for validation.
Beyond payment card data, organizations must protect bank account details, investment information, and financial documents like invoices and statements.
Key Points
- Credit Card Number SIT: 16-digit format with Luhn validation
- ABA Routing Number: US bank routing codes
- IBAN: International Bank Account Numbers (country-specific)
- SWIFT Codes: Bank identification for international transfers
- Tax IDs: SSN, ITIN, EIN and regional equivalents
Why This Matters in Real Organizations
Financial data breaches have severe consequences: PCI-DSS fines can reach $100,000 per month, plus forensic costs, card replacement, and reputation damage. Proper detection prevents accidental exposure in emails, chats, and shared files.
Common Mistakes to Avoid
Interview Tips
- Discuss PCI-DSS requirements and how DLP helps
- Mention the Luhn algorithm and why it matters
- Explain how to handle false positives with test card numbers
Exam Tips (SC-401)
- Know common financial SITs and their detection methods
- Understand PCI-DSS scope
- Know how to exclude test/development environments
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