87 percent of organizations are turning to AI-powered SOC tools
A new survey from Gurucul in collaboration with Cybersecurity Insiders finds that 87 percent of respondents are deploying, piloting or evaluating AI-powered SOC tools, but only 31 percent are using them across core detection and response workflows.
The study, based on responses from over 700 cybersecurity leaders around the world, finds human and identity risks are still a major concern. 78 percent of security leaders identify social engineering and phishing as their top threat, followed closely by identity-based attacks (73 percent). However, 67 percent say they still lack visibility into access behavior and lateral movement.
Enterprises spend 11 hours on resolving each security alert
On average, enterprises spend 11 hours of employee time investigating and remediating a single critical identity-related security alert.
A new study from Enterprise Strategy Group, of 370 IT and cybersecurity decision makers, shows this affects the capacity of security teams to manage alert volume, and this is only made worse in the age of AI.
Too many alerts lead security pros to worry they'll miss an attack
A new report reveals that 71 percent of security operations center practitioners worry they will miss a real attack buried in a flood of alerts, while 51 percent believe they can't keep pace with the increasing number of security threats.
The report from Vectra AI shows 47 percent of SOC practitioners don't trust their tools to work the way they need them to work, while 54 percent say the tools they work with actually increase the SOC workload instead of reducing it.