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 Securonix Introduces Agentic Mesh and the First Productivity-Based AI Model for the SOC

Securonix Introduces Agentic Mesh and the First Productivity-Based AI Model for the SOC

Securonix, Inc., in collaboration with Amazon Web Services (AWS), announced Sam, the AI SOC Analyst, and the Securonix Agentic Mesh, introducing a new operating model for security operations designed to scale analyst productivity, govern AI in production, and deliver board-ready outcomes. At a time when security operations are overwhelmed by alert volume, analyst shortages, and rising SIEM costs, Securonix is shifting the conversation from AI features and consumption metrics to measurable work delivered. With Sam and Agentic Mesh, security leaders can now quantify how much analyst work AI completes, govern every AI-assisted action, and communicate impact in operational and business terms.

 

Sam is Securonix’s AI SOC Analyst. It is a governed, always-on digital teammate that expands SOC capacity without adding headcount. Sam automates Tier 1 and Tier 2 security operations work, including alert triage, investigation, correlation, and response preparation.

Sam operates natively inside the Securonix Unified Defence SIEM and coordinates specialised AI agents through the Agentic Mesh. Human analysts remain in control through built-in human-in-the-loop oversight, ensuring every action is explainable, auditable, and policy-bound.

Sam represents a new unit of value in security operations. Rather than measuring AI by usage or consumption, Sam enables security leaders to measure outcomes in analyst work completed. Each Sam delivers a defined pool of analyst-equivalent productivity, operates under full policy enforcement and human oversight, and reduces alert fatigue by absorbing repetitive work at machine speed.

By pricing AI based on analyst productivity rather than data volume or feature sprawl, Sam enables predictable economics and board-ready ROI narratives.

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