Unlocking AI-Driven Productivity in Security Operations with Measurable Results
Securonix Revolutionizes Security Operations with AI-Driven Productivity
In a significant shift towards measurable productivity, Securonix has introduced Sam, an AI-powered SOC analyst, and the Agentic Mesh, a governed orchestration layer. This new operating model enables security leaders to quantify the work completed by AI, govern AI-assisted actions, and communicate impact in operational and business terms.
Sam, the AI SOC Analyst
Sam, the AI SOC Analyst, is a digital teammate that automates Tier 1 and Tier 2 security operations work, including alert triage, investigation, correlation, and response preparation. Operating natively within the Securonix Unified Defense SIEM, Sam coordinates specialized AI agents through the Agentic Mesh, ensuring human analysts remain in control through built-in oversight.
Unlike traditional AI metrics, Sam measures outcomes in analyst work completed, enabling security leaders to track productivity transparently. 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.
The Agentic Mesh
The Agentic Mesh is a governed orchestration layer that coordinates specialized AI agents across detection, investigation, response, and reporting. Built using Amazon Bedrock AgentCore, it maintains shared context, enforces enterprise policy, and ensures every AI-assisted action is explainable, auditable, and reversible.
By integrating Sam and Agentic Mesh, security leaders can now turn AI into governed, board-ready security operations. Every AI-assisted action operates under policy guardrails, enforces separation of duties, and can be reviewed, approved, or reversed by analysts. AI augments human decision-making rather than replacing it, resulting in a SOC that scales responsibly and maintains regulatory confidence.
Securonix’s Data Pipeline Manager with Flex Consumption (DPM Flex)
Securonix’s Data Pipeline Manager with Flex Consumption (DPM Flex) supports this productivity-based AI model by ensuring the right data fuels AI and investigations without runaway SIEM spend. This approach ensures predictable economics as environments scale and productivity gains are not offset by rising data costs.
Real-World Implementation
HDFC Bank, one of the world’s largest financial institutions, is using Securonix to operationalize agentic AI at scale while maintaining strict regulatory oversight.
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