What it means
Provenance is the history behind a piece of information. For security evidence, it includes the originating system, collection method, relevant times, and any filtering, parsing, or other transformation. This history helps an analyst judge whether two records can be compared and whether a conclusion is stronger than the data permits. Provenance differs from merely naming a tool: saying a value came from a dashboard does not explain which source generated it or what the dashboard changed. It also helps teams repeat a collection.
The idea at a glance / Evidence
Keep the source behind the displayed value.
Trace a displayed record count back through its parser and collected copy to the original TestDB event.
One synthetic record, E42, for job TEST-7 on 29 September 2026. Collector R1 retrieves that record into case C9; parser P1 derives a separate working copy. All times are UTC.
READ THE PICTURE
Follow the derivation
D42 displays records=200 because parser P1 renamed E42’s count field. The raw copy remains in C9. Event time stays 02:06:00; collection at 02:06:03 is a separate fact. The history explains the value, not whether the source was truthful.
Keep in mindThis retrieval covers only E42. Keeping its history does not prove source truth, complete job coverage, or an unbroken chain of custody. Collection time does not replace event time.
Read the complete example
- Follow the derivation. D42 displays records=200 because parser P1 renamed E42’s count field. The raw copy remains in C9. Event time stays 02:06:00; collection at 02:06:03 is a separate fact. The history explains the value, not whether the source was truthful. TestDB produces synthetic E42 with id E42, event time 2026-09-29T02:06:00Z, account Ops, job TEST-7, and count 200. Collector R1 retrieves only E42 using the illustrative API request GET /event/E42; collection completes at 02:06:03 UTC on the same date. R1 retains the raw response in case C9 as C9/E42 and works on a separate copy. Parser version P1 creates D42: it renames count to records and time to event_time, preserves id, account, job, and their values, and adds source_ref=C9/E42 and parser=P1. Thus records=200 comes directly from count=200, and event_time remains 02:06:00 rather than becoming the collection time. Another reviewer can use the preserved input and documented mapping to reproduce that representation. The diagram’s connecting rail denotes this recorded history, not a network message or a standardized PROV relation. A single-record retrieval says nothing about omitted events or the completeness of job TEST-7. Retaining original bytes and the derivation does not independently verify the source’s claim or establish every custody transfer.
This retrieval covers only E42. Keeping its history does not prove source truth, complete job coverage, or an unbroken chain of custody. Collection time does not replace event time.
Diagram references: W3C PROV-DM - Entities, Activities, and Derivation · NIST SP 800-86 - Collection, Examination, and Original Copies
AN ILLUSTRATIVE SCENARIO
Two different timestamps in a utility investigation
A utility’s analyst sees a remote connection at 10:07 in a dashboard and 10:02 in the device log. Collection notes show that the dashboard displayed ingestion time, while the device recorded event time. A five-minute delivery delay explains the difference. The analyst retains both values and documents which one drives the timeline, rather than silently rewriting the original record to match the dashboard.
Put it to work
- Record the source system, collection query or export settings, collector, and time range. Note time zones and whether timestamps represent events or receipt.
- Keep original records and document transformations such as field renaming, deduplication, redaction, and enrichment. Retain version information for parsers when it affects interpretation.
- Write down collection limits, including inaccessible devices, missing periods, dropped records, or truncated fields. Carry those limits into summaries instead of losing them during handoffs.
How to check your work
Choose a dashboard value and trace it back to its original record. Reproduce the transformation and explain any differences. Another analyst should be able to follow that path without relying on your memory.
Connect the ideas
- Evidence
A record you are willing to cite in a decision, with enough provenance to explain what it can prove.
- Log
A record emitted by a system that something happened, which may later be used as evidence.
- Audit trail
An append-oriented history of security-relevant actions that can be shown to a later reviewer.
- Uncertainty
What you still do not know, written explicitly so it is not filled with false precision.