Dam safety and integrity reports

Name: Dam safety and integrity reports
Creator: TestPattern Community
License: https://opensource.org/licenses/MIT

Identifies documents containing references to dam safety and integrity reports in Australian contexts. This information type is classified as personally identifiable information under applicable data protection regulations.

Type: regex
Engine: boost_regex
Confidence: medium
Confidence justification: structural regex with domain-specific anchors and constrained context replaces phrase-only marker.
Detection quality: Mixed
Jurisdictions: global
Regulations: AML/CTF Act (Cth), HRIPA (Cth), IPA 2009 (Qld), My Health Records Act 2012 (Cth), NDB Scheme (Cth), Privacy Act 1988 (Cth), TIA Act 1979 (Cth)
Frameworks: ISO 27001, ISO 27701
Data categories: pii
Scope: wide
Platform compatibility: Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported

Pattern

(?is)\b(?:dam\s+safety\s+and\s+integrity\s+reports|dam\s+safety|dam\s+integrity|consequence\s+category|surveillance\s+report|dam\s+failure|inundation\s+map|critical\s+infrastructure)\b

Corroborative evidence keywords

dam safety and integrity reports, dam, safety, integrity, reports, critical, infrastructure, systems

Proximity: 300 characters

Should match

dam safety and integrity reports — Primary topic phrase match
dam safety — Case-insensitive topic phrase match
dam integrity — Alternative topic phrase match
consequence category — Additional topic phrase match

Should not match

unrelated generic text without domain phrases — No relevant topic phrases present
placeholder value 12345 — Random text should not match topic-specific regex
dam safety report — Generic word pair from old broad template should not match

Known false positives

Common words and phrases related to dam safety and integrity reports appearing in policy documents, training materials, HR templates, or compliance guidelines without actual personal data. Mitigation: Require corroborative evidence keywords within the proximity window to confirm sensitive data context rather than general discussion.
In Australian English, similar terminology used in formal or administrative contexts (education, professional documentation) that does not constitute sensitive data collection. Mitigation: Layer with additional contextual signals such as structured identifiers, form fields, or database column headers to distinguish sensitive records from general references.
High-frequency pattern matches in large document corpora due to broad regex anchors. Expected match rate is significantly higher than specific identifier patterns. Mitigation: Tune confidence thresholds for bulk scanning. Consider using this pattern primarily as a pre-filter with secondary validation.

References

https://www.legislation.gov.au/C2018A00029/latest/text
https://www.cyber.gov.au/resources-business-and-government/essential-cyber-security/ism