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Incident Classification and Severity Levels

Incident readiness · 2 min read

Why classify?

Not every incident deserves a midnight call to the CEO, and some do. Classification decides how fast to respond, who gets involved and who must be told. Agreed in advance, it removes guesswork when the clock is running. One CISM task is to establish and maintain an information security incident classification and categorisation process.

Two things are classified:

  • Category: what type of incident it is.
  • Severity: how much it matters to the business.

Severity levels

Critical, high, medium and low severity with examples, response times and who to notify.
SeverityExampleResponseNotify
Critical (1)Ransomware spreading; customer data stolenImmediately, 24x7, full IR teamExecutives, legal, possibly regulators
High (2)Compromised admin account; key service degradedWithin 1 hourCISO, system owner
Medium (3)Malware on one laptop, containedSame business daySecurity manager
Low (4)Policy violation, no data at riskWithin daysLine manager

Each level also defines when to escalate into the BCP or DRP.

What drives severity

Severity factors: data involved, systems affected, scope and spread, business impact, legal and reputation.
  • Data involved: its classification; personal or regulated data?
  • Systems affected: critical business services?
  • Scope and spread: one device or many? Still spreading?
  • Business impact: revenue, operations, safety.
  • Legal and reputation: notification duties, contracts, media attention.

Severity is about business impact, not how technically interesting an incident is.

Categories

CategoryExamples
MalwareRansomware, trojans, worms
Unauthorised accessCompromised accounts, intrusions
Data loss or leakageMisdirected email, exfiltration, lost devices
Denial of serviceDDoS, resource exhaustion
Insider misuseAbuse of legitimate access
PhysicalTheft of equipment, unauthorised entry

Consistent categories make trend analysis and reporting possible. A large “other” category makes them useless.

Re-rate as facts emerge

Example. A phishing click on one laptop is logged as Medium. Two hours later, the investigation shows the attacker used the stolen session to access the finance mailbox and set up forwarding rules. The incident is upgraded to High, the CFO is informed, and legal starts assessing notification.

Severity is a live judgement, reviewed at every update. Incidents can be upgraded or downgraded.

How the exam asks about it

If the question asks…The answer is usually…
Main basis for incident severityBusiness impact
Why define severity levels in advanceConsistent, timely response and escalation
New facts show greater impactReclassify and escalate
Benefit of consistent categoriesTrend analysis and reporting
What severity determinesResponse time, responders and notifications

In short

  • Establishing and maintaining an incident classification and categorisation process is a CISM task.
  • Categories describe the type (malware, unauthorised access, data loss, denial of service, insider, physical); severity describes the business impact.
  • Severity criteria are agreed in advance: data involved, systems affected, scope and spread, business impact, legal and reputational exposure.
  • Each severity level sets response times, who responds, who is notified and when to escalate to BCP or DRP.
  • Severity is reassessed as facts emerge; incidents can be upgraded or downgraded.
  • Consistent categories make trend analysis and reporting possible.

Exam traps

  • Severity is about business impact, not how technically interesting an incident is.
  • Rating an incident once and never revisiting it leads to under-response.
  • Without agreed criteria, different analysts rate similar incidents differently.
  • Vague categories ('other') make trend analysis useless.

Slides

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CISM · Domain 4 · Incident readiness

Incident Classification and Severity Levels

How incidents are categorised by type and rated by severity, so the right people respond at the right speed, and how classification supports reporting and trend analysis.

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