The AI SOC is commoditized. Here’s why building our own is the next frontier.

AI SOC platforms are portrayed as an increasingly commoditized cybersecurity category, as major SIEM vendors add native AI triage and numerous vendors compete with similar offerings, while faster alert processing can leave analysts facing a growing backlog of decisions. The text argues that security operations are shifting toward customizable agentic automation platforms that enable organizations to build workflows tailored to their own systems, processes, and governance requirements. It presents Tines 3B as a prompt-driven environment for creating automated security workflows, with capabilities such as alert investigation, contextual evidence aggregation, explainable triage, attack-path visualization, threat hunting, detection management aligned to MITRE ATT&CK, threat-intelligence ingestion, and automated containment actions. It also emphasizes controls for AI agents through sandboxed workflows, auditability, Retrieval-Augmented Generation using historical security knowledge, and Model Context Protocol integrations intended to let agents query internal resources without directly accessing sensitive credentials.

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