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Compliance Templates

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

Privacy Compliance (CCPA, VDPA, etc.)

Configuration
Considerations
  • Use all your locale’s Standard PII detectors.
  • Set Minimum Confidence to Very Likely
  • Set alert to trigger on Any Detectors
See Privacy Compliance by Locale for specific examples.
For greater rigor, set on each of your locale’s detection rules alongside the Person Name detector configured to trigger with All Detectors, per:

HIPAA Compliance

Configuration
Considerations
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

Configuration
Considerations
  • Use the Credit Card Number detector
  • Set Minimum Confidence level to Very Likely
  • Set alert to trigger on Any Detectors
For greater rigor, set on each of your locale’s detection rules alongside the Person Name detector configured to trigger with All Detectors, per:

ACH Compliance

Configuration
Considerations
  • Use the US Bank Routing and Person Name detectors
  • Set Minimum Confidence level to Very Likely
  • Set alert to trigger on All Detectors

GLBA Compliance

Configuration
Considerations
  • Use the SWIFT and US Bank Routing detectors
  • Set Minimum Confidence level to Very Likely
  • Set alert to trigger on Any Detectors

ISO 27001 Compliance for v2022

Configuration
Considerations
  • 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.
See Creating Detection Rules for general information on creating and tuning detection rules.
For all use cases, Nightfall recommends:
  • Scoping should cover all locations where the sensitive data should not be disclosed
  • Tune and amend rules over time in accordance with your violations and data.
  • Use Context and Exclusion Rules to reduce false positives and fine-tune alerts.
  • Consider increasing the number of detections required before triggering an alert - more findings often mean higher confidence.
  • Upgrade your rules from Basic to Advanced as needed.
  • Please report any false positives to [email protected]. We will use your reports to improve our ML models.
If you have compliance requirements not covered above, please contact [email protected].