Port facility security manifests
Identifies documents containing references to port facility security manifests 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(?:port\s+facility\s+security\s+manifests|port\s+facility|security\s+manifest|maritime\s+security|ISPS\s+code|vessel\s+manifest|cargo\s+manifest|berth\s+allocation|harbour\s+master|port\s+authority|restricted\s+zone|critical\s+infrastructure)\b
Corroborative evidence keywords
port facility security manifests, port, facility, security, manifests, critical, infrastructure, systems
Proximity: 300 characters
Should match
port facility security manifests— Primary topic phrase matchport facility— Case-insensitive topic phrase matchsecurity manifest— Alternative topic phrase matchmaritime security— Additional topic phrase match
Should not match
unrelated generic text without domain phrases— No relevant topic phrases presentplaceholder value 12345— Random text should not match topic-specific regexmaritime route— Generic word pair from old broad template should not match
Known false positives
- Common words and phrases related to port facility security manifests 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.