Topic starter
20/08/2026 5:26 pm
TL;DR: AppSec MTTR is being driven less by coding speed than by triage overload, with false positives, overlapping scanners, and backlog friction keeping flaws open for months while attackers exploit faster, according to Pixee. The practical lesson is that remediation programmes must automate prioritisation before they automate fixes, or the queue will keep growing.
Editorial analysis by NHI Mgmt Group, based on content published by Pixee: “MTTR in Cybersecurity: Why 252 Days Is Not a Speed Problem”.
Key questions
Q: What breaks when vulnerability remediation is too slow?
A: Slow remediation extends the exposure window, which gives attackers more time to exploit known weaknesses before the fix is validated.
Q: Why do false positives matter more than raw scan volume?
A: False positives matter because each one still consumes human time to validate, rank, and route, even when it turns out to be harmless.
Q: How do security leaders know if a testing and remediation program is actually working?
A: Security leaders should look for improved attacker resistance, not just fewer findings.
Practitioner guidance
- Implement exploitability-first triage Rank findings by reachability, known exploitation, and compensating controls before they enter developer queues.
- Consolidate overlapping scanners Remove duplicate signal sources that create the same finding in multiple tools and inflate analyst workload.
- Track triage throughput separately from MTTR Measure findings processed per analyst-hour so you can see whether the bottleneck is review, not fixing.
Bottom line: The article’s core claim is that AppSec remediation backlogs are usually caused by triage overload rather than slow code fixes.
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20/08/2026 6:15 pm
Triage debt is the real remediation failure mode: the article shows that AppSec programmes do not stall because developers cannot code quickly enough. They stall because too many findings enter the queue without being filtered for exploitability, reachability, or business relevance. In governance terms, the broken control is decision throughput, not engineer productivity. Practitioners should treat triage capacity as a first-class security control.
A question worth separating out:
Q: When should teams automate remediation versus improve triage first?
A: Teams should improve triage first whenever the queue contains large volumes of false positives, duplicates, or low-context findings. Automating fixes before filtering the intake just produces faster answers to the wrong problems. The safer sequence is to reduce noise, validate exploitability, and then automate repeatable remediation patterns for the cleaned backlog.
👉 Read our full editorial: AppSec remediation half-life is a triage problem, not a speed problem