Fast Facts
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Introduction of Sam and Agentic Mesh: Securonix and AWS unveiled Sam, the AI SOC Analyst, alongside the Agentic Mesh, to enhance security operations by improving analyst productivity, governing AI actions, and delivering quantifiable outcomes.
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Enhanced Analyst Capacity: Sam automates Tier 1 and Tier 2 security tasks, allowing human analysts to focus on critical decision-making, effectively expanding operational capacity without increasing headcount.
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Governance and Accountability: The Agentic Mesh framework ensures that all AI actions are explainable, auditable, and reversible, maintaining policy compliance and enhancing trust in AI usage within the SOC.
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Cost-Effective AI Deployment: By pricing AI based on analyst productivity rather than data volume, Securonix offers predictable ROI and economically scales security operations while controlling SIEM costs.
Securonix Unveils Sam and Agentic Mesh
Securonix has launched Sam, an AI SOC Analyst, alongside the innovative Agentic Mesh. This development signifies a shift in how security operations manage overwhelming alert volumes and analyst shortages. By working with Amazon Web Services, Securonix aims to enhance analyst productivity without adding more personnel. Sam automates crucial Tier 1 and Tier 2 tasks, such as alert triage and investigation preparation. This automation frees human analysts to focus on high-stakes decisions.
Furthermore, each Sam quantifies analyst work completed instead of merely tracking AI usage. This new metric allows security leaders to communicate impact effectively. With built-in oversight, all actions remain accountable and transparent. This change positions Sam and Agentic Mesh as valuable tools that improve operational efficiency while maintaining human oversight.
Enhanced Governance and Predictable Economics
The Agentic Mesh acts as a governed orchestration layer that harmonizes specialized AI agents across various tasks. Unlike traditional AI systems, it focuses on a structured workflow. This approach helps manage policies, ensuring that every AI-assisted action is secure and reversible. Consequently, security leaders can trust that AI augments human decision-making rather than replacing it.
Securonix also introduced Data Pipeline Manager with Flex Consumption (DPM Flex) to further enhance data economics. This feature optimizes the use of data for AI, preventing unnecessary costs. As shown in use cases like HDFC Bank, organizations can now maintain regulatory oversight while realizing significant productivity gains. Ultimately, Securonix’s solutions provide a responsible way to scale security operations and foster transparency in AI applications.
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