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AI-Powered Automation for Threat Investigation and Response
Datasheets
05/06/2024
AI-Powered Automation for Threat Investigation and Response
In today's landscape of relentless cyber-attacks, organizations are facing increasing threats to their critical assets. Security detection tools like SIEM, XDR, and CNAPP generate vast volumes of alerts—often lacking sufficient context—leaving security teams overwhelmed with alert backlog. With limited resources and insufficient business context, prioritizing critical alerts that require immediate action becomes a significant challenge.
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Blog
The Real AI SOC Problem: Detection Quality, Not Alert Volume
Over the last year working with SOC teams, one thing has become clear to me: we don’t just have an alert volume problem, we have a detection quality problem.
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Blog
From Reactive SOC to Preemptive Security Operations: Why the AI SOC Model Must Evolve
For years, security operations have been optimized around one core function: responding to alerts. SIEMs generate alerts. SOCs triage them. MDR providers investigate and close tickets. Success is measured in mean time to respond, tickets resolved, and alerts handled per analyst. But this model is reaching its limits.
Read More
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Blog
Investigating millions of CSPM alerts — where do you even start?
I got this question last week from one of the largest financial institutions: “When you’re looking at millions of CSPM alerts, do you actually investigate them or just treat them as hygiene issues and assign them to the cloud team?” Honestly, it’s a fair question—and one a lot of teams are probably asking themselves.
Read More
Blog
The Real AI SOC Problem: Detection Quality, Not Alert Volume
Over the last year working with SOC teams, one thing has become clear to me: we don’t just have an alert volume problem, we have a detection quality problem.
Read More
.png){kind=icon}
Blog
From Reactive SOC to Preemptive Security Operations: Why the AI SOC Model Must Evolve
For years, security operations have been optimized around one core function: responding to alerts. SIEMs generate alerts. SOCs triage them. MDR providers investigate and close tickets. Success is measured in mean time to respond, tickets resolved, and alerts handled per analyst. But this model is reaching its limits.
Read More
Blog
Investigating millions of CSPM alerts — where do you even start?
I got this question last week from one of the largest financial institutions: “When you’re looking at millions of CSPM alerts, do you actually investigate them or just treat them as hygiene issues and assign them to the cloud team?” Honestly, it’s a fair question—and one a lot of teams are probably asking themselves.
Read More