Data minimization
Keep a record of the purpose and necessity of each type of data: camera, audio, screen, and behavioral data.
Review proctoring data under the headings of purpose, access, retention, and human oversight.
Keep a record of the purpose and necessity of each type of data: camera, audio, screen, and behavioral data.
Clearly define encryption, authorization, access to recordings, and deletion periods at the contract and policy levels.
Design privacy notices, objection procedures, and alternative processes together with your legal/compliance team.
Remote exam proctoring systems collect camera recordings, audio, screenshots, and behavioral data. This data may often qualify as personal or sensitive data and may require special protection under KVKK. Failure to ensure compliance can harm candidate rights and create administrative and reputational risks for the institution.
This guide provides a checklist and practical recommendations for evaluating proctoring solutions from a KVKK perspective. Each institution’s circumstances are different, so the recommendations should be confirmed with your institution’s legal department before implementation.
The content covers a broad range of topics, from legal bases for data processing and technical safeguards to data processing agreements, data ownership, and objection mechanisms.
The final section includes a call to action directing readers to information about QProctor’s compliance processes and contact details.
Data processing under KVKK must comply with the principles of transparency, explicit consent (or a legal basis), purpose limitation, and data minimization. In proctoring processes, assess which data is essential and which data can be replaced by alternative methods.
Minimum safeguards include data encryption (both in transit and at rest), authorization and access logs, regular penetration testing, and data access policies. Log and recording access should also be auditable, and unnecessary access should be prevented.
Contracts with proctoring providers should clearly define data processor obligations, security standards, use of subcontractors, data breach notification procedures, and data deletion/obfuscation mechanisms.
A DPIA is recommended in cases involving large-scale monitoring, sensitive data processing, or automated decision-making. A DPIA is a vital document that records risks, mitigation strategies, and responsible parties.
Clarify product modules, data processing flows, and your institution’s human approval process through a demo.
Request a demo and informationReview the proctoring, identity verification, environment analysis, and reporting workflow suited to your institution with the QProctor team.
Cover: a conceptual illustration depicting the product theme; not an actual application screen.