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18/08/2026 2:13 pm
TL;DR: Alert fatigue is a detection quality problem that turns queue pressure into missed threats, according to Expel, and the article argues that agentic MDR can apply consistent AI triage so the thousandth alert gets the same scrutiny as the first. The shift matters because human triage limits, not just tool volume, now define SOC detection quality.
NHIMG editorial — based on content published by Expel: LLMjacking: How Attackers Hijack AI Using Compromised NHIs
By the numbers:
- Breaches disclosed by the attacker instead cost $5.08 million on average, roughly $900,000 more than those first identified by the victim organisation.
Questions worth separating out
Q: What breaks when alert fatigue is not controlled in a SOC?
A: Triage quality breaks first, then investigation depth, then trust in the alert queue.
Q: Why does alert fatigue matter so much for identity and NHI incidents?
A: Identity and NHI incidents often start with a subtle event, such as an unusual login, token use, or service account action.
Q: How do security teams know if alert fatigue is improving?
A: They should look for shorter queues only if investigation quality stays high.
Practitioner guidance
- Define triage quality metrics Track time-to-triage, alert-to-investigation conversion, false-negative review findings, and the proportion of alerts closed without supporting evidence.
- Separate routine enrichment from escalation decisions Use AI or automation to enrich every alert, but require human review for cases involving privilege changes, anomalous access, or suspected credential abuse.
- Add identity context to SOC investigations Correlate alerts with user identity, service-account ownership, expected workload behaviour, and privilege scope before closing cases.
What's in the full article
Expel's full analysis covers the operational detail this post intentionally leaves for the source:
- How the agentic MDR workflow enriches and disposes alerts at machine speed
- The specific analyst tasks that remain human-led during complex investigations
- Practical examples of how queue pressure changes triage quality in SOC operations
- The performance comparison between AI-assisted triage and manual handling
👉 Read Expel's analysis of alert fatigue and agentic MDR in SOC operations →
Alert fatigue and agentic MDR: are your SOC controls keeping up?
Explore further
18/08/2026 3:05 pm
Alert fatigue is a control failure, not an analyst failure. The article is right to reject the idea that more headcount alone solves the problem. When teams cannot investigate the full queue, detection becomes uneven by design, which means the control itself is degrading. For security programmes, that should be treated as a governance issue tied to NIST-CSF detection outcomes and SOC operating model decisions.
A question worth separating out:
Q: What should teams do when AI handles first-pass alert triage?
A: Keep humans in control of escalation, response, and exception handling. AI should enrich alerts, correlate context, and reduce repetitive work, but the programme still needs validation, tuning, and review criteria for high-impact events. The aim is consistency at scale, not blind delegation.
👉 Read our full editorial: Alert fatigue is a detection quality problem, not a staffing gap
