Agentic SOC: How Exaforce Plans to Redefine Security Operations | Ariful Huq, Exaforce
Modern Security Operations Centers aren’t suffering from a lack of data; they are drowning in it. For every alert triggered, analysts spend hours manually stitching together context across fragmented identities and cloud configurations. Ariful Huq, Co-Founder and Head of Product at Exaforce, argues that the traditional SOC model is broken—and he’s building an "agentic SOC" to fix it.
In this episode, we explore how Exaforce is collapsing investigation times from hours to minutes. By combining a semantic data model with AI-driven reasoning, Exaforce moves beyond simple generative AI to provide a platform that understands the relationship between users, resources, and behaviors.
"The output of agents is only as good as the data. If we can make the answers easy, the AI agents can use them to solve the scale problem."
Modern Security Operations Centers aren’t suffering from a lack of data; they are drowning in it. For every alert triggered, analysts spend hours manually stitching together context across fragmented identities and cloud configurations. Ariful Huq, Co-Founder and Head of Product at Exaforce, argues that the traditional SOC model is broken—and he’s building an "agentic SOC" to fix it.
In this episode, we explore how Exaforce is collapsing investigation times from hours to minutes. By combining a semantic data model with AI-driven reasoning, Exaforce moves beyond simple generative AI to provide a platform that understands the relationship between users, resources, and behaviors.
"The output of agents is only as good as the data. If we can make the answers easy, the AI agents can use them to solve the scale problem."
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