Physical badge access maps

Identifies documents containing references to physical badge access maps 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(?:physical\s+badge\s+access\s+maps|badge\s+access|access\s+control|door\s+access|card\s+reader|security\s+zone|restricted\s+area|entry\s+point|facility\s+access|clearance\s+level|critical\s+infrastructure)\b

Corroborative evidence keywords

physical badge access maps, physical, badge, access, maps, critical, infrastructure, systems

Proximity: 300 characters

Should match

• physical badge access maps — Primary topic phrase match
• badge access — Case-insensitive topic phrase match
• access control — Alternative topic phrase match
• door access — 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
• badge access zone — Generic word pair from old broad template should not match

Known false positives

• Common words and phrases related to physical badge access maps 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
• https://www.legislation.gov.au/C2004A03712/latest/text