Webinar: What the Riskiest SOC Alerts Go Unanswered - and How Radiant Security Can Help

"Security operations teams are drowning in alerts. But the real problem isn't always alert volume; it's the blind spots. The most dangerous alerts are the ones no one is investigating. A recent report from The Hacker News examined why certain high-risk alert categories - WAF, DLP, OT/IoT, dark web intelligence, and supply chain signals- consistently go uninvestigated across enterprise SOCs. The findings point to a structural gap in how security coverage is delivered today: not a lack of tooling, but a ceiling built into every existing model."

"In-house SOC teams are the first to feel the gap. Overloaded with high-volume, routine alerts, analysts rarely have the capacity, or the specialized expertise, to investigate WAF events, DLP anomalies, or signals from operational technology environments. These alert types require deep, domain-specific knowledge that most SOC teams simply don't have on staff. MSSPs and MDRs face a different version of the same problem. Complex, specialized alerts are time-consuming to investigate and require business context that managed providers don't have."

"AI SOC automation platforms have made significant progress on common alert types, but most cap out at four to six pre-defined categories. They rely on static, pre-built triage logic. When an alert falls outside that logic, whether it's a novel threat, an unfamiliar alert source, or an emerging attack vector, the platform deprioritizes it or passes it on. The result is a blind spot at the intersection of all existing SOC models: the alerts most likely to result in a breach are precisely the ones for which no one has a workflow to handle."

Security operations teams face alert overload, but the main issue is blind spots where dangerous alerts are not investigated. High-risk categories such as WAF, DLP, OT/IoT, dark web intelligence, and supply chain signals often remain uninvestigated across enterprises. In-house SOC teams lack capacity and domain-specific expertise for specialized alert types. MSSPs and MDRs also struggle because investigating complex alerts is time-consuming and requires business context, making economics unfavorable and leading to escalation back to the client. AI automation platforms improve common triage but typically cover only a limited set of categories using static logic, causing novel or unfamiliar alerts to be deprioritized or passed on. The gap occurs where breach-likely alerts lack a workflow.

Read at The Hacker News