Student enrollment records

Identifies individual student enrolment records - student enrolment/enrollment records and forms, enrolment verification or confirmation, student registration, admission and course registration records - when the phrase sits with populated student identifiers and enrolment fields. Education records under applicable privacy law (FERPA in the US).

Type: regex
Engine: boost_regex
Confidence: medium
Confidence justification: Medium: enforce tiers need a populated student identifier; 85 also needs an enrolment field and enrolment evidence. Handbooks, enrolment guides and statistics stay at 65.
Detection quality: Topic false positive
Jurisdictions: global
Regulations: Privacy Act 1988 (Cth), NDB Scheme (Cth), GDPR, FERPA, Higher Education Support Act 2003 (Cth)
Frameworks: ISO 27001, ISO 27701
Data categories: pii
Scope: wide
Risk rating: 8
Platform compatibility: Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported

Pattern

(?i)\b(?:student\s+enrol(?:l)?ment(?:\s+(?:records?|forms?))?|enrol(?:l)?ment\s+(?:records?|verification|confirmation)|confirmation\s+of\s+enrol(?:l)?ment|student\s+registration|admission\s+record|course\s+registration)\b

Corroborative evidence keywords

census date, full-time, part-time, CRICOS, HECS-HELP, registrar

Proximity: 300 characters

Should match

Confirmation of enrolment Student name: Avery Teston Student ID: 40912876 Program: Bachelor of Nursing Campus: Kelvin Grove Semester: 2, 2026 Study load: Full-time (Commonwealth supported place) Census date: 31/08/2026 — Populated confirmation of enrolment with student, enrolment fields and enrolment evidence (85)
Enrollment verification request Student: Casey Rourke Date of birth: 22/11/2003 — Verification request with labelled student fields only (75)
Student enrolment record - international admissions Student ID: S3398217 Family name: Hale-Nakamura Course code: MDS701 Master of Data Science Intake: February 2027 Attendance type: Full-time, on campus Enrolment status: Confirmed - tuition deposit of AUD 18,400 received; CRICOS-registered course, CoE issued to the student. — International enrolment record with student ID, course code, intake and attendance fields plus tuition/CRICOS evidence (85)

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
student grant — Generic word pair from old broad template should not match
Policy guidance: this procedure explains how student enrollment records are collected, stored and shared, who may access them and how long they are kept. Staff should read the privacy section before completing any form. It contains no details about any individual. — Policy/guidance text naming the topic without any populated record (65 discovery at most)
Student enrollment form Student name: ____________________ Student ID: ____________________ Program: ____________________ Semester: ____________________ Signature: ____________ Date: __/__/____ — Blank form with unpopulated labelled fields (placeholder guard keeps it below 75)
News: university student enrolment rose 4 percent this year, with course registration opening earlier and census date moved to the fourth week of semester. — News/training prose about the topic without a populated record (65 discovery at most)

Known false positives

Common words and phrases related to student enrollment records 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 English (as the primary international business language), 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.