Biometric and Special-Category Data Handling Audits
Special category data under GDPR Article 9, biometric identifiers, health data, and other sensitive categories, requires an explicit legal basis beyond what standard personal data needs, but this data doesn't always arrive labeled as special category, a facial verification system stores biometric templates that get treated in the database like any other file, a support ticket mentions a customer's health condition in free text with no field or flag distinguishing it from routine correspondence. Systems processing this data under default handling, the same consent basis, retention period, and access controls as ordinary personal data, are operating without the heightened safeguards Article 9 requires, and this gap is invisible in a standard data inventory that catalogs fields and systems without actually inspecting what's inside them.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 8-14 hrs per audit cycle, plus reduced exposure from special category data operating without Article 9-compliant safeguards.
How the automation works
We audit systems for special category data that's present but not flagged or handled as such, going beyond a field-name-based inventory to actually inspect content where feasible, free-text fields, uploaded files, biometric template storage, for indicators of special category data hiding in generic storage. Detected instances are checked against the legal basis currently applied to that data, standard consent or contractual necessity doesn't satisfy Article 9's heightened requirements, and flagged as a gap requiring either a valid Article 9 basis to be established and documented, or the data to be handled differently (restricted access, separate retention rules) going forward. This produces a specific, actionable list of where special category data exists without adequate safeguards, not a general compliance score.
Process flow
- 01
Systems scoped for special category audit trigger
Systems likely to hold special category data, based on their function (identity verification, support ticketing, HR, health-adjacent products), are scoped for the audit.
- 02
Inspect content, not just field names ai
Content is inspected where feasible, free-text fields, uploaded documents, biometric storage, for indicators of special category data, since field names and schema alone miss sensitive data stored in generic locations.
- 03
Check current legal basis against Article 9 requirements ai
For each detected instance, the legal basis currently applied to that data is checked against Article 9's heightened requirements, flagging cases where standard consent or contractual necessity is being relied on where it doesn't satisfy the special category standard.
- 04
Flag gaps for compliance decision output
Detected gaps go to your compliance and legal function for a decision, establish and document a valid Article 9 basis, apply additional safeguards, or in some cases stop collecting or storing that data, rather than resolved automatically.
- 05
Deliver audit findings and remediation tracker output
An audit report listing every detected instance, its current handling, and the gap identified is delivered along with a remediation tracker to confirm each gap is closed.
Inputs
- Systems scoped for audit (identity verification, support, HR, health-adjacent products)
- Current documented legal bases for data processing
- Access to inspect content in free-text fields and file storage where feasible
- Compliance/legal contact for gap resolution decisions
Outputs
- Detected special category data instance list
- Legal basis gap report per instance
- Remediation recommendations (basis, safeguards, or collection change)
- Remediation tracking log
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Special category data frequently exists in a system without ever being explicitly labeled as such, a facial verification template stored as a generic binary field, a customer's health condition mentioned in free-text support notes, and a data inventory that catalogs schema and field names without inspecting actual content will miss all of it.
- Standard consent language covering routine personal data processing does not automatically extend to satisfy Article 9's explicit consent requirement for special category data, a general privacy policy consent checkbox is not the same as the specific, explicit consent Article 9 requires, and this distinction is easy to miss when reviewing a system's compliance posture at a policy level rather than checking the actual basis applied.
- Biometric data specifically carries its own heightened scrutiny because of its permanence, a compromised password can be changed, a compromised biometric template cannot, which is why access controls and retention limits for biometric data need to be genuinely stricter than for other special category data, not just nominally flagged as special.
- Fixing a detected gap by retroactively establishing a legal basis for data already collected is not the same as having had a valid basis at the time of collection, and depending on the gap, the appropriate remediation may need to include stopping further collection or reviewing whether previously collected data can be lawfully retained at all, a decision for compliance and legal, not a default automatic fix.
Frequently asked questions
How do you find special category data that isn't in a labeled field?
By inspecting actual content where feasible, free-text fields, uploaded files, and specific storage types known to hold biometric or health data, rather than relying on field names or schema documentation, which frequently don't reflect what's actually stored.
Does this fix the legal basis gap automatically?
No, detected gaps are flagged with the specific issue for your compliance and legal function to resolve, since establishing an appropriate legal basis or deciding to change data handling requires judgment this workflow doesn't make unilaterally.
Is biometric data treated differently from other special categories in this audit?
It gets particular scrutiny given its permanence and the heightened access control and retention expectations that follow from that, though all special category data detected is checked against the same Article 9 legal basis requirement.
Can this audit run across HR systems as well as customer-facing ones?
Yes, any system likely to hold special category data, including HR systems that may hold health or other sensitive employee data, can be included in the audit scope.