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.

The average MSP now runs five security tools.

12% of MSPs are managing more than ten security tools.

High false positive rates triple the chance of missing genuine incidents for MSPs.

20% of MSPs are juggling seven to ten security tools.

MSPs using 7+ tools report nearly double the fatigue levels.

89% of MSPs struggle with tool integration.

One in four security alerts that MSPs receive prove meaningless.

56% of MSPs experience alert fatigue daily or weekly.

Among MSPs managing 1,000+ clients, 100% report daily alert fatigue.

75% of MSPs experience alert fatigue at least monthly.

Only 20% of MSPs have consolidated their security solutions.

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.

Only 11% of MSPs report seamless integration of their security tools.

75% of analysts indicate that AI tools are already improving their job satisfaction by reducing alert fatigue and automating repetitive triage tasks.

Security teams receive an average of 4,080 alerts per month from multiple cloud security tools.

It takes an average of 7.7 days, up to 30 days, to correlate alerts across cloud tools and organizational silos.