Breach Impact Scoping
When a suspected data-loss event is detected, the technical question of what actually left — which systems, which records, what data types, over what window — has to be answered before anyone can make an informed decision about legal notification obligations, and answering it by hand means an analyst manually pulling logs across multiple systems under time pressure while a notification clock may already be running. Scoping that's rushed tends to either understate exposure by missing a system, or overstate it defensively because nobody had time to confirm the boundary properly, and both versions create real downstream cost.
STARTING PRICE
From €799
Complex tier · Multi-system orchestration, custom logic, and higher-volume or higher-risk processing.
Get a quote →Saves roughly 10-15 hrs saved per incident on manual log correlation and scope reconstruction.
How the automation works
We correlate logs, endpoint telemetry, and access records across the systems touched by a suspected data-loss event to build a structured scope: which systems were involved, what data types and approximate record counts were exposed, and the actual time window of exposure, cross-referenced against your asset inventory and data classification for context. This is a technical scoping output, not a notification decision — the draft scope goes to the security lead for review and correction before it's handed to legal or your DPO, since scoping errors at this stage propagate directly into notification decisions that carry real regulatory and reputational weight. Nothing here triggers a notification process automatically.
Process flow
- 01
Suspected loss event detected trigger
A DLP alert, anomalous export, endpoint alert, or manual report of a suspected data-loss event opens a scoping case.
- 02
Correlate logs across touched systems ai
Logs, endpoint telemetry, and access records across the systems potentially involved are correlated to reconstruct what happened and when.
- 03
Pull asset and data classification context integration
Involved systems and data are cross-referenced against the asset inventory and data classification to determine what kind of data was in scope.
- 04
Draft structured impact scope ai
A draft scope is generated covering systems involved, approximate data types and record counts exposed, and the exposure time window, with the underlying evidence cited.
- 05
Human review by security lead output
The draft scope is reviewed and corrected by the security lead before it goes anywhere else — this step never gets skipped, regardless of time pressure.
- 06
Hand off scope to legal/DPO output
The reviewed scoping report is handed to legal or the DPO as an input to the notification decision; this automation stops at scoping and does not trigger or draft any notification itself.
Inputs
- Suspected loss event alert or report
- System and application logs
- Endpoint telemetry
- Asset inventory and data classification
Outputs
- Structured breach scope report
- Affected system and data-type list
- Estimated exposure window and record count
- Evidence trail supporting the scope
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
- Log retention gaps are the single biggest limiter on scoping accuracy — if the relevant logs from a touched system were already rotated out or never captured at the needed granularity, the scope will be incomplete regardless of how good the correlation logic is, and that gap needs to be stated explicitly rather than papered over with an assumption.
- Scoping that stops at the first obviously-involved system tends to undercount exposure when the actual path touched a secondary system, such as a backup or a downstream integration that received a copy of the same data — the correlation needs to trace data flow, not just the entry point.
- This automation must never auto-trigger a breach notification or auto-classify an event as reportable — the scope it produces is one input to a legal and regulatory decision that has to be made by qualified people, and treating a technical scope as equivalent to a notification determination is a serious overreach.
- Data 'touched' during an incident (a system or file that was accessible) is not the same as data actually exfiltrated, and conflating the two produces an artificially inflated scope — the report needs to distinguish confirmed exfiltration from mere potential access wherever the evidence allows that distinction.
Frequently asked questions
Does this decide whether we need to notify regulators or affected individuals?
No — this produces a technical scope of what was exposed, which systems were involved, and the exposure window. The notification decision is made separately by legal or your DPO using this scope as one input.
How is this different from the incident documentation and reporting page?
Incident documentation logs the in-the-moment response as it happens; this job specifically reconstructs the technical scope of exposure after a suspected data-loss event, feeding into the notification decision rather than the general incident record.
What if the logs needed to scope the incident are incomplete?
The scoping report states explicitly where log coverage is incomplete rather than filling the gap with assumptions, so legal and the DPO know exactly how much confidence to place in the scope.
Who reviews the scope before it's used for a notification decision?
Your security lead reviews and corrects the draft scope before it's handed off — this automation never sends a scope straight to legal or triggers any notification step on its own.