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Why AI SOC Needs Governance Before Autonomy
Every vendor pitch in security operations right now sounds the same: hand your alerts to an AI, and it will triage, investigate, and close cases while your analysts sleep. The pitch is compelling because the underlying problem is real — SOC teams are drowning in signal volume that headcount alone can't absorb. But there's a question most of these pitches skip past: before a system gets to act on its own, who is answerable for what it decides? That question — not model accuracy, not integration coverage — is turning out to be the real bottleneck for AI in the SOC. Governance Is the Missing Piece, Not the Last Step Most AI initiatives don't stall because the models underperform or the infrastructure fails to scale. They stall after the pilot, once the business case has already been made — because nobody redesigned who owns the decisions, the risk, and the long-term accountability once an AI system starts acting as a decision-maker inside the organization. A New Kind of Decision-Maker Autonomous systems introduce a new class of decision-maker into the enterprise, and most governance structures were never built with that in mind. In most companies: Ris...
