Alert fatigue
Cybersecurity statistics about alert fatigue
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90% of security leaders say AI/ML is extremely or very valuable in reducing alert fatigue and improving detection accuracy.
Alert fatigue is now a top challenge for 76% of SOCs.
89% of MSPs must switch between separate dashboards and waste time on manual workflows.
Some MSPs report that 70% of their alerts are false alarms.
20% of MSPs who consolidate security tools report better outcomes across all metrics.
20% of MSPs are juggling seven to ten security tools.
12% of MSPs are managing more than ten security tools.
One in four security alerts that MSPs receive prove meaningless.
89% of MSPs struggle with tool integration.
High false positive rates triple the chance of missing genuine incidents for MSPs.
MSPs using 7+ tools report nearly double the fatigue levels.
Among MSPs managing 1,000+ clients, 100% report daily alert fatigue.
Only 20% of MSPs have consolidated their security solutions.
75% of MSPs experience alert fatigue at least monthly.
The average MSP now runs five security tools.
Only 11% of MSPs report seamless integration of their security tools.
56% of MSPs experience alert fatigue daily or weekly.
75% of analysts indicate that AI tools are already improving their job satisfaction by reducing alert fatigue and automating repetitive triage tasks.
Only 13% of organizations successfully correlate alerts between cloud security tools.
It takes an average of 7.7 days, up to 30 days, to correlate alerts across cloud tools and organizational silos.