In the ever-evolving landscape of cybersecurity, the battle against threats is more intense than ever. One of the critical challenges faced by security operations teams (SOCs) is the overwhelming volume of alerts, often leading to a blind spot in identifying and addressing the riskiest threats. The recent report from The Hacker News sheds light on this issue, revealing that certain high-risk alert categories, such as WAF, DLP, OT/IoT, dark web intelligence, and supply chain signals, consistently go uninvestigated across enterprise SOCs. This is not due to a lack of tooling but rather a structural gap in how security coverage is delivered today.
The problem is twofold. In-house SOC teams, already overwhelmed with high-volume, routine alerts, often lack the capacity and specialized expertise to investigate these high-risk alerts. Managed Security Service Providers (MSSPs) and Managed Detection and Response (MDR) providers face a similar challenge, as complex, specialized alerts are time-consuming to investigate and require business context that they often don't possess. The economics don't work in their favor, leading to these alerts being escalated back to the client, the very team that initially lacked the capacity to handle them.
AI SOC automation platforms have made significant progress in handling common alert types, but most cap out at four to six pre-defined categories. They rely on static, pre-built triage logic, which can fail to recognize novel threats, unfamiliar alert sources, or emerging attack vectors. This results in 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.
This is where Radiant Security steps in. On May 21, 2026, Radiant Security and German cybersecurity firm Cirosec are hosting a technical webinar titled 'Alert Coverage No One Else Can Triage'. The session will delve into the structural reasons behind the coverage ceiling, explore the specific alert types most commonly left uninvestigated, and demonstrate live how Radiant's AI SOC platform can triage them.
What sets Radiant apart is its fundamentally different architecture. Unlike other AI SOC platforms that rely on pre-built playbooks, Radiant's AI generates custom triage logic on the fly, for any alert type, including those the platform has never seen before. This capability ensures that even the most novel or unfamiliar threats can be effectively triaged and investigated.
The webinar, scheduled for 15:00 CEST (6:00 AM PDT) on Microsoft Teams, will be a technical, interactive session hosted by Cirosec and Radiant Security. It will be conducted in English, and those interested can register here.
In my opinion, this webinar is a must-attend for anyone in the cybersecurity field. It offers a unique opportunity to understand the structural gaps in current SOC models and explore innovative solutions like Radiant's AI SOC platform. The insights gained from this webinar can help organizations improve their threat detection and response capabilities, ultimately enhancing their overall security posture.
One thing that immediately stands out is the focus on the intersection of all existing SOC models. This is where the real blind spots lie, and it's crucial to address these gaps to prevent breaches. What many people don't realize is that the current approach to SOC automation is often limited by static, pre-built triage logic, which can fail to recognize novel threats.
If you take a step back and think about it, the implications of this are far-reaching. The ability to triage novel threats in real-time can significantly reduce the risk of a breach. This raises a deeper question: how can we ensure that all SOCs, regardless of their size or resources, have the tools and expertise to handle the riskiest alerts?
A detail that I find especially interesting is the role of AI in this context. AI has the potential to revolutionize SOC automation by generating custom triage logic on the fly. This not only enhances the ability to handle novel threats but also reduces the workload on SOC analysts, allowing them to focus on more strategic tasks.
What this really suggests is that the future of SOC automation lies in AI-driven, adaptive triage logic. This approach can help organizations stay ahead of the curve in the ever-evolving threat landscape. However, it also raises the question of how we can ensure that AI systems are transparent, explainable, and accountable, especially in high-stakes security contexts.
In conclusion, the webinar 'Alert Coverage No One Else Can Triage' is a must-attend event for anyone in the cybersecurity field. It offers a unique opportunity to understand the structural gaps in current SOC models and explore innovative solutions like Radiant's AI SOC platform. The insights gained from this webinar can help organizations improve their threat detection and response capabilities, ultimately enhancing their overall security posture.
