Compliance Use Cases

Organizational compliance is one of the leading drivers that require DLP tooling such as Nightfall. These are the recommended configurations for each compliance framework.

ComplianceConfigurationConsiderations

HIPAA Compliance

  • Depending on the type of healthcare organization, disclosure of personal information may disclose PHI (e.g., a sufficiently uniquely named person going to a health provider like an AIDS clinic would likely disclose the person’s PHI).

PCI Compliance - Text

  • Use the Credit Card Number

  • Set Minimum Confidence level to Likely

  • Set alert to trigger on Any Detectors

PCI/PII Compliance - Images

  • Use the Drivers License Image, Passport Image, US Social Security Image, Credit Card Image detectors

  • Set Minimum Confidence level to Very Likely

  • Set alert to trigger on Any Detectors

These detectors analyze the layout and formatting of content within images, accurately identifying government-issued ID documents from any nation and payment cards from any institution.

ACH Compliance

  • Use the US Bank Routing and Person Name detectors

  • Set Minimum Confidence level to Likely

  • Set alert to trigger on All Detectors

GLBA Compliance

  • Use the SWIFT and US Bank Routing detectors

  • Set Minimum Confidence level to Likely

  • Set alert to trigger on Any Detectors

ISO 27001 Compliance for v2022

  • Enable all Secrets detectors:

    • API key

    • Cryptographic key

    • Database Connection String

    • GCP credentials

    • Password in code

  • Set Minimum Confidence level to Likely

  • Set alert to trigger on Any Detectors

Other detectors that exist are not recommended for use for the above compliance frameworks. For all use cases, Nightfall further recommends:

  • Tune and amend Minimum Confidence over time in accordance with your violations and data set

  • Scoping should cover all locations where the sensitive data should not be disclosed

  • Using Exclusion Rules to reduce false positives and fine-tune alerts

  • Reporting false positives for machine learning training to support@nightfall.ai

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