mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
48 lines
2.1 KiB
Markdown
48 lines
2.1 KiB
Markdown
# API Reference: Implementing Cloud DLP for Data Protection
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## Libraries
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### google-cloud-dlp (Google Cloud DLP)
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- **Install**: `pip install google-cloud-dlp`
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- **Docs**: https://cloud.google.com/dlp/docs/reference/libraries
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- `DlpServiceClient()` -- Create DLP client
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- `inspect_content(parent, inspect_config, item)` -- Scan content for sensitive data
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- `deidentify_content(parent, deidentify_config, item)` -- Mask/redact sensitive data
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- `create_inspect_template()` -- Reusable inspection configuration
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- `create_dlp_job()` -- Scan Cloud Storage, BigQuery, Datastore
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### boto3 -- Amazon Macie
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- **Install**: `pip install boto3`
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- **Docs**: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/macie2.html
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- `enable_macie()` -- Enable Macie service
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- `create_classification_job()` -- Scan S3 buckets for sensitive data
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- `list_findings()` / `get_findings()` -- Retrieve discovery results
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- `create_custom_data_identifier()` -- Define custom PII patterns
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## GCP DLP Info Types
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| Category | Info Types |
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|----------|-----------|
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| PII | PERSON_NAME, EMAIL_ADDRESS, PHONE_NUMBER, DATE_OF_BIRTH |
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| Financial | CREDIT_CARD_NUMBER, IBAN_CODE, SWIFT_CODE |
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| US-specific | US_SOCIAL_SECURITY_NUMBER, US_DRIVERS_LICENSE_NUMBER |
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| Health | US_HEALTHCARE_NPI, MEDICAL_RECORD_NUMBER |
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## De-identification Methods
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- `CharacterMaskConfig` -- Replace characters with mask symbol
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- `CryptoReplaceFfxFpeConfig` -- Format-preserving encryption
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- `RedactConfig` -- Remove sensitive content entirely
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- `ReplaceWithInfoTypeConfig` -- Replace with info type name
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## Macie Finding Types
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- `SensitiveData:S3Object/Personal` -- PII found
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- `SensitiveData:S3Object/Financial` -- Financial data found
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- `SensitiveData:S3Object/Credentials` -- Credentials detected
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- `Policy:IAMUser/S3BucketPublic` -- Public bucket with sensitive data
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## External References
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- GCP DLP API: https://cloud.google.com/dlp/docs
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- GCP Info Types: https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference
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- Macie User Guide: https://docs.aws.amazon.com/macie/latest/user/what-is-macie.html
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- Azure Purview DLP: https://learn.microsoft.com/en-us/purview/dlp-learn-about-dlp
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