Finding and protecting personal data on the Mac — for schools, IT teams and DPOs.
EnglishWhere student personal data accumulates on a school's Macs and shared drives, why it matters under GDPR, and a practical, on-device way to find and minimise it.
EnglishSpotlight finds files by name and keyword. Finding personal data for GDPR needs pattern detection, OCR and archive-aware scanning. Here's the gap — and how to close it on-device.
SvenskaPå en skolas Macar och nätverksdiskar samlas elevdata i åratal – personnummer, betyg, hälsonoteringar. Här är var det göms, varför det är en GDPR-risk, och hur du hittar det på plats.
EnglishWhen staff leave or a Mac is reassigned, personal data rides along in files, Downloads and old accounts. A practical offboarding checklist to find and clear it before handover.
EnglishA data-subject access request is only slow if you don't know where the person's data lives. Here's how to prepare so a DSAR becomes a scan-and-review, not a scramble.
EnglishMost GDPR risk on a Mac isn't the original file — it's the forgotten copies. Where shadow data comes from, why it's dangerous, and how to find and collapse it.
EnglishWhen someone invokes their right to be forgotten, "delete the record" isn't enough. A practical method for finding and erasing every copy of a person's data on a Mac.
EnglishData mapping doesn't need a consultant or a six-week project. A pragmatic, on-device method a small team can finish in an afternoon and keep current.
EnglishLaptops get the attention, but the shared drive is where personal data really accumulates. A practical guide to auditing SMB and NAS shares from a Mac — scope, permissions, what to look for, and what to do with what you find.
EnglishEnterprise DLP is expensive, slow to deploy and often overkill. A practical, staged approach for Mac admins to find personal data across a fleet using MDM, sampling and on-device scanning.
EnglishYou deleted the file. Your backup didn't. How Time Machine, APFS snapshots and server backups quietly keep personal data alive for years — and what a defensible erasure process actually looks like.
EnglishEngineers pull production dumps to debug, and the data never leaves. Why developer laptops are the least-audited, highest-density store of real customer data in most companies — and how to fix it without slowing anyone down.