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INC-003 Incident Classification and Escalation

Tier 2+ProviderDeployerGPAI Model ProviderManaged Service Provider

Description

Incidents are classified by severity and type using a defined taxonomy. Classification determines escalation paths, notification requirements, and response SLAs. Criteria for classifying an event as a data breach or high-severity incident are documented and consistently applied. The taxonomy carries the external notification thresholds and criteria that bind the service, each stated as a measurable quantity or as an observable condition and, where a threshold is a proportion, with the population it is measured against and the system of record that population is read from, so a classification decision names every external trigger the incident crossed and the ones it did not. An attempted unauthorised access, use, disclosure, modification or destruction carries a band of its own, as does an interference with system operations that changed nothing, so an event with no effect is classified rather than closed unclassified. At a defined interval, closed incidents that fell below every threshold individually are grouped by apparent root cause and tested against those thresholds collectively, and a group that crosses one is classified as a single incident and carries what that classification requires.

Rationale

Consistent classification ensures the right people are notified at the right speed. Misclassification, particularly under-classification, is a major cause of delayed response and regulatory exposure. An external threshold is not a severity band: severity decides who is woken up, a threshold decides whether a submission is owed, and an organisation that cannot produce the population a proportional threshold is measured against cannot answer whether it had a reportable incident at all. That is why the population and its system of record are named in the taxonomy rather than worked out during the incident. The band for an attempt that changed nothing exists because more than one commitment makes such an event reportable, and an event with no effect otherwise leaves the process unclassified. Boundary: INC-005 holds what is submitted once a threshold is crossed, MON-010 measures the availability a threshold is compared against and keeps the service level objective, which is a commitment rather than a regulatory trigger, and INC-008 reviews one incident where the aggregation test here looks across closed ones and is not a review of any of them.

Applicability (9 profiles)

SaaS AI Providerstablerequiredcore
Enterprise AI Deployerstablerequiredcore
GPAI Model Providerstablerequiredcore
High-Risk Provider (EU)stablerequiredcore
Public Body Deployer (EU)stablerequiredcore
DORA ICT Provider (EU)stablerequiredcore
HIPAA Business Associate (US)stablerequiredrole duty

The band is now in the taxonomy. An attempted unauthorised access, use, disclosure, modification or destruction carries a band of its own, as does an interference with system operations that changed nothing, which is the reach of the 164.304 definition and the precondition for reporting such an event to the covered entity under 164.314(a)(2)(i)(C).

NIS2 Cloud Provider (EU)stablerequiredrole duty

The taxonomy now carries the external notification thresholds and criteria that bind the service, with the population each proportional threshold is measured against, and aggregates closed sub-threshold incidents by apparent root cause. The figures this instrument supplies are the entries: Art. 3 fixes seven criteria, among them direct financial loss above the lower of EUR 500 000 or 5 % of turnover, trade secret exfiltration, death or considerable damage to health and a successful suspectedly malicious access capable of severe disruption; Art. 7 adds 30 minutes of complete unavailability, one hour of limited availability reaching the lower of 5 % of Union users or one million and the two data-compromise limbs; Art. 3(3) fixes the denominator by counting the natural and legal persons associated with business customers and not only the contracting ones; Art. 4 aggregates incidents recurring at least twice in six months with the same apparent root cause, tested quarterly under Annex point 3.4.2(b). For an organisation that also holds the managed-service-provider role, Art. 10 repeats the four Art. 7 criteria with the managed service or managed security service as the unit measured, applied to the systems it operates, administers or monitors on a customer's behalf. The NIS2-CIR-Art.10 disposition closes with the mapping this wave writes.

Framework Mappings (16)

SEF-07Incident Management and Responsepartial
SEF-07Incident Management and Responsepartial
HIPAA-164.308.a.6.iSecurity Incident Proceduresinformative
HIPAA-164.314.a.2.i.CBusiness Associate Contract Security Incident Reporting Terminformative
NIS2-Art.23.1Notification of Significant Incidentsinformative
NIS2-Art.23.3Significant Incident Criteriapartial
NIS2-CIR-3.1Incident Handling Policyinformative
NIS2-CIR-3.4Event Assessment and Classificationinformative
NIS2-CIR-Art.10Significant Incidents for Managed Service Providers and Managed Security Service Providersfull
NIS2-CIR-Art.3Significant Incident Criteria for the Relevant Entitiesfull
NIS2-CIR-Art.4Recurring Incidentsfull
NIS2-CIR-Art.7Significant Incidents for Cloud Computing Service Providersfull
IR-4Incident Handlinginformative
IR-6Incident Reportinginformative
GV-4.3-002AI Testing and Information Sharing Practices | GV-4.3-002informative
CC7.3Evaluates Security Eventsinformative

Evidence (3)

policydocumentmanual

Incident classification policy defining the severity taxonomy, classification criteria, escalation triggers, and response SLAs for each severity level.

Example: Incident Classification Matrix or IRP appendix (version-controlled) defining severity levels (e.g., P1–P4), classification criteria, data breach determination criteria, escalation requirements, and response SLA per level

Test: Request the incident classification policy or matrix. Verify: (1) severity levels are defined with explicit criteria; (2) data breach classification criteria are documented and consistent with GDPR Art.33 triggers; (3) each severity level has a defined escalation path and response SLA; (4) the matrix is referenced in the IRP and training materials.

recorddocumentmanual

Sample incident records showing consistent application of the classification taxonomy including severity assignment and escalation decisions.

Example: Incident records from the past 12 months (at least 5 incidents across severity levels) showing event type, initial classification, escalation actions taken, and any reclassification with rationale

Test: Request a sample of incident records from the last 12 months spanning multiple severity levels. Verify: (1) each incident record shows a severity classification; (2) classification is consistent with the documented criteria; (3) escalation actions match the requirements for the assigned severity level; (4) any reclassifications are documented with a rationale.

recorddocumentmanual

Incident classification taxonomy with its external threshold table, and the aggregation test results for the period.

Example: Incident Classification Standard v3.4 Annex B, with the Q2 2026 recurring-incident aggregation result dated 8 July 2026.

Test: Verify: (1) the taxonomy carries the external notification thresholds and criteria that bind the service, each stated as a measurable quantity or an observable condition, and the set reconciles to the obligations the compliance inventory holds, (2) every threshold expressed as a proportion names the population it is measured against and the system of record that population is read from, and that population can be produced, (3) a band exists for an attempted event that changed nothing, and an event of that kind in the period carries it, (4) each classified incident in the period records which external thresholds were tested and which were crossed, (5) the aggregation test ran at the defined interval in each period and covered the closed incidents that fell below every threshold individually, grouped by apparent root cause, (6) a group that crossed a threshold was classified as one incident and carries the submissions that classification required.

Questions (3)

boolean

Are incidents classified by severity and type using a defined taxonomy?

The classification matrix should explicitly include criteria for identifying a personal data breach (triggering GDPR notification obligations) and should be referenced in all incident triage processes.

select

How many severity levels are defined in your incident classification taxonomy?

4 or more levels (e.g. P1 Critical / P2 High / P3 Medium / P4 Low) with distinct criteria and SLAs for each3 levels (e.g. High / Medium / Low) with distinct criteria and SLAs2 levels (e.g. Major / Minor)No defined severity taxonomy: incidents are assessed on a case-by-case basis

Options run from the most granular taxonomy to the least. The control sets no number of levels. It requires each level to carry distinct criteria with a defined escalation path, a notification requirement and a response service level. The criteria for a personal data breach have to be among them.

multi

Which of the following does the incident classification taxonomy carry?

The external notification thresholds and criteria that bind the service, each as a measurable quantity or an observable conditionThe population each proportional threshold is measured against and the system of record it is read fromA record per classified incident of which external thresholds were tested and which were crossedA band for an attempted event that changed nothingA test at a defined interval of closed sub-threshold incidents grouped by apparent root causeClassification of such a group as one incident where it crosses a threshold collectivelyNone of the above

Internal severity levels are not external thresholds: answer on the regulatory and contractual triggers, not on the priority scale. The population item is the one that decides whether the rest is usable, because a threshold set as a percentage of users is unanswerable until the denominator is defined and can be produced. The last two items look backwards across closed incidents and are the part most programmes have never built.