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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteGitLab audit logs and access records can help establish that an account performed a recorded sign-in, repository operation, or file read. They cannot, by themselves, prove how much data reached a device, whether it was kept or sent elsewhere, or whether the action was malicious. Start by identifying your GitLab deployment, tier, version, relevant scopes, and logging configuration; then preserve a bounded UTC window and correlate the records you can actually retrieve.
Establish what GitLab environment and evidence you have
Before interpreting an empty search or a recorded action, note the environment in which the event would have occurred. GitLab.com, Self-Managed, and Dedicated differ in applicable features; tier, version, role, scope, event type, and configuration can also affect visibility.
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- Record the deployment, installed version if known, and license tier.
- List affected group and project paths, suspected accounts, and any potentially relevant tokens or keys.
- Set the earliest and latest plausible event times, using UTC for the investigation timeline.
- Find out whether group-level or instance-level audit streaming was configured before the incident. The current setting does not establish what was configured at the time.
- Record who is retrieving each source and the scope and filters used. A missing record is meaningful only if that source was available for the relevant event and the search covered the right scope and time.
Know which record sets may be available
| Record set | What it can contribute | Availability qualification |
|---|---|---|
| Authentication log | Successful sign-in events | GitLab documents successful sign-in events at all tiers. A sign-in record is not a repository-read record. |
| Project and group audit events | Recorded changes and other events within the applicable project or group scope | The documented project and group audit views for all users require Premium or Ultimate. Verify the actual role and scope. |
| Instance audit events | Recorded events at instance scope | The documented administration view applies to Self-Managed Premium or Ultimate. Do not assume the same view is available for every deployment. |
| Configured audit-event stream | Events sent to a configured external destination for broader collection and search | Streaming requires prior configuration and is tier- and deployment-dependent; it cannot recover events that were never sent to the destination. |
GitLab documentation accessed 2026-10-04 states that audit events are retained indefinitely. That statement does not mean every event type is stored for every tier, that a stream was configured, or that all access paths produce an audit event. Confirm availability for the event type and environment you are investigating.
Preserve a reproducible time window and original records
Keep source exports and responses unchanged. Analyze working copies, preserve event IDs, and record retrieval time, filters, query parameters, pagination state, and any time-zone conversion. GitLab says the UI displays local time, API dates are UTC by default (or use the configured time zone for Self-Managed), and CSV timestamps are UTC. Record the configured setting and normalize analysis copies to UTC without discarding the originals.
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Use bounded API queries
GitLab documents a maximum 30-day difference between the dates in group/project audit-event API queries and a 30-day maximum per instance audit API query. Split longer investigations into consecutive windows, keeping the exact boundaries and query parameters so you can identify gaps or overlaps. Paginate through results and preserve the response or export for every page. Do not treat one successful query as complete collection for an incident longer than its allowed range.
Handle CSV exports carefully
An instance audit-event CSV export is limited to 100,000 events. The documented columns include event ID, author, entity, target, action, IP address, and UTC creation time; events are sorted in ascending order. Save the original export and note its applied filters. Before calling it complete, check the date boundaries, filters, result count, and whether the export limit could have truncated the relevant period.
Look for recorded repository reads and transfers
Review available sign-in and audit records for the suspected window, then check GitLab’s event-type documentation for the relevant running tier and version. It distinguishes events stored in the database from events available only through streaming, so an event absent from a database view may still have been stream-only if streaming was configured.
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Git operations and UI downloads
GitLab’s audit-event schema documentation describes streamed events for authenticated SSH or HTTP(S) pushes, pulls, and clones, including certain GitLab UI downloads. The cited Git-operation example says that unauthenticated users downloading a public project are not captured in that stream. Treat these as documented event coverage, not a guarantee that every download path, deployment, or version produces a corresponding record.
Authenticated API file reads
GitLab’s event-type catalogue lists repository_file_accessed_api for authenticated repository-file reads through the API. Check whether that event is available and collected in your environment. A file-read event indicates a logged API read; it does not establish the total data received or what happened to it afterward.
Other relevant changes
Within the available event set, look for changes to project or group membership and permissions, and credential or token activity where represented. Place these alongside sign-ins and repository events rather than treating any one record as a complete account of the incident. The event details object has no defined schema, so inspect the raw details in each record and do not assume the same fields appear for every event.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Build a timeline and assess what the records establish
Create a working timeline keyed by timestamp, actor, event type, entity or scope, target, and IP address when present. Preserve event IDs: GitLab identifies them as unique and useful for deduplication. Retain raw event details, since their fields can vary. Compare the GitLab timeline with independently collected identity-provider, network, endpoint, and repository evidence if available; those sources are separate evidence, not part of GitLab’s audit logs.
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Use precise findings language
Describe the recorded behavior and its limits. For example: “The available stream contains an authenticated clone event associated with this key and source address.” That supports the statement that a clone event was logged. It does not, alone, prove the volume of data transferred, local retention, onward transfer, destination, or intent. Make a claim of exfiltration only when other evidence supports the data movement and destination.
Interpret missing records cautiously
No matching event is not proof that no access or transfer occurred. Possible explanations include tier or role restrictions, scope mismatch, event coverage, missing or unconfigured streaming, retention or collection gaps, unauthenticated access, or an incomplete query window or export. State which sources you checked, their limits, and the period they covered instead of treating absence as a definitive negative.
Know the search and collection limits
- The audit-event UI’s documented filters include author and date range; text search within event details is unsupported. GitLab’s documentation suggests external streaming for more comprehensive text search and analysis.
- Group/project and instance API date limits mean a single query may not span a longer incident. Split the period and preserve the boundaries.
- An instance CSV export stops at 100,000 events. Check whether filters or the export cap affected completeness.
- Audit-event availability depends on tier and event type. Streamed events also depend on prior configuration and a supported destination.
- A logged Git operation or file read establishes a recorded operation, not what the user ultimately did with the data.
Consider external streaming for future investigations
For broader search and centralized preservation, GitLab documents audit-event streaming to external destinations, with SIEM or other storage as examples. Top-level group streaming is documented as Ultimate for GitLab.com, Self-Managed, and Dedicated. Instance-level streaming is documented as Ultimate for Self-Managed and Dedicated. Confirm current applicability for your deployment and version before relying on either route.
Streaming is a forward-looking collection choice, not a substitute for records that were not captured before it was enabled. GitLab warns that streamed events can contain sensitive information, and duplicate delivery can occur. Assess destination trust, secure the transport and credentials, restrict access, and deduplicate using event IDs. A SIEM or log-management system is optional; the documentation does not make a particular product mandatory or endorse a vendor.
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