Financial aid applications

Identifies individual student financial aid applications - financial aid applications and award packages, student aid or loan applications, FAFSA, scholarship and bursary applications, fee waiver requests and hardship grant applications - when the phrase sits with populated applicant identifiers and household-finance fields. Financial and education records under applicable privacy law.

Type: regex
Engine: boost_regex
Confidence: medium
Confidence justification: Medium: enforce tiers need a populated applicant identifier; 85 also needs a household-finance field and aid evidence. Scholarship web pages, aid guides and funding announcements 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(?:financial\s+aid\s+(?:application|award|package|form)|aid\s+application|student\s+(?:aid|loan)\s+application|FAFSA|scholarship\s+application|bursary\s+application|fee\s+waiver\s+(?:request|application)|tuition\s+assistance(?:\s+application)?|need[\s-]+based\s+aid|hardship\s+(?:grant|fund)\s+application)\b

Corroborative evidence keywords

Pell Grant, Youth Allowance, Austudy, financial hardship, cost of attendance, award letter

Proximity: 300 characters

Should match

Financial aid application - 2026/27 Student name: Avery Teston Student ID: 40912876 Household income: $48,200 Dependants: 2 Centrelink payment: Youth Allowance Amount requested: $3,500 Verification documents: tax return attached (financial hardship statement) — Populated aid application with applicant, finance fields and aid evidence (85)
Scholarship application received Applicant name: Casey Rourke Application number: SCH-26-04417 — Scholarship application with labelled applicant fields only (75)
Financial aid award package - Fall 2026 Student name: Jordan Vasquez-Lim Student ID: 900417726 SAI: 1450 Household size: 4 Award amount: 7,395 USD Federal Pell Grant plus 3,500 USD subsidised loan Estimated cost of attendance 31,200 USD; award letter issued after FAFSA verification. — US award package with student ID, SAI, household size and award amount plus Pell Grant/cost-of-attendance 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 financial aid application files 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)
Bursary application form Student name: ____________________ Student ID: ____________________ Household income: ____________________ Amount requested: ____________________ Signature: ____________ Date: __/__/____ — Blank form with unpopulated labelled fields (placeholder guard keeps it below 75)
News: the university doubled its hardship grant pool and says a scholarship application now takes ten minutes, with fee waiver requests reviewed weekly. — News/training prose about the topic without a populated record (65 discovery at most)

Known false positives

Common words and phrases related to financial aid applications 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.