How to Handle Data Subject Access Requests (DSARs)

A Data Subject Access Request (DSAR) is a formal request from an individual asking what personal data you hold about them, and under GDPR, CCPA, and similar laws, you're legally required to respond within a specific timeframe — typically 30 days for GDPR, 45 days for CCPA.

Verifying the Requester's Identity

Before releasing any data, verify that the person making the request is actually who they claim to be, using a proportionate verification method (matching the email on file, for example). Releasing personal data to the wrong person in response to a fraudulent DSAR is itself a serious data breach.

Locating All Relevant Data

A survey response is rarely stored in just one place — it may exist in your primary database, analytics aggregates, backup snapshots, exported files, and any connected third-party integrations. A repeatable DSAR process requires knowing exactly where to look across all of these systems.

Formatting the Response

Provide the data in a clear, structured format (not a raw database dump), explaining what data you hold, why you collected it, how long you'll retain it, and who else it's been shared with. Include an explanation of the individual's other rights (deletion, correction) so they know their options.

Building a Repeatable Process

Rather than treating each DSAR as a one-off legal fire drill, build a documented internal process: a single point of intake, a checklist of systems to search, a standard response template, and a tracked timeline to ensure you never miss the legal deadline.

What AItocha Provides

Our platform includes a built-in tool to search and export all data associated with a specific respondent's email address, turning what would otherwise be a manual, error-prone search across multiple systems into a few clicks.

Handling High-Volume DSAR Periods

Some businesses experience spikes in DSAR volume following media coverage of privacy issues or a data breach, even one at an unrelated company. Having a documented, partially automated process means a volume spike becomes a manageable workload increase rather than a crisis — the difference between a well-prepared team and one improvising under pressure often comes down entirely to whether this groundwork was laid in advance.