Measurable AI-Driven Productivity Shifts Security Operations with Securonix

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Securonix Introduces AI-Powered SOC Analyst and Governed Orchestration Layer

A new approach to security operations is being introduced by Securonix, a leading provider of cybersecurity solutions. The company has announced the launch of Sam, an AI-powered SOC analyst, and the Securonix Agentic Mesh, a governed orchestration layer that coordinates specialized AI agents. This new operating model is designed to scale analyst productivity, govern AI in production, and deliver measurable outcomes.

The Current State of Security Operations

The current state of security operations is overwhelmed by alert volume, analyst shortages, and rising SIEM costs. Securonix is shifting the focus from AI features and consumption metrics to measurable work delivered. With Sam and Agentic Mesh, security leaders can now quantify the amount of analyst work completed by AI, govern every AI-assisted action, and communicate impact in operational and business terms.

Introducing Sam and Agentic Mesh

Sam is a governed, always-on digital teammate that expands SOC capacity without adding headcount. It automates Tier 1 and Tier 2 security operations work, including alert triage, investigation, correlation, and response preparation. Sam operates natively inside the Securonix Unified Defense SIEM and coordinates specialized 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, enabling 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.

The Agentic Mesh is a governed orchestration layer that coordinates specialized AI agents across detection, investigation, response, and reporting. Unlike copilots or monolithic AI assistants, Agentic Mesh is designed as a system of work, not a feature. It maintains shared context, enforces enterprise policy, and ensures that every AI-assisted action is explainable, auditable, and reversible.

The Agentic Mesh operates securely within the customer environment, providing enterprise-grade isolation, resiliency, and scale. It is built using Amazon Bedrock AgentCore, which ensures that 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.

Real-World Implementation

At HDFC Bank, one of the world’s largest financial institutions, Securonix is being used to operationalize agentic AI at scale while maintaining strict regulatory oversight.

“In a regulated financial environment, AI must earn trust through transparency and control,” said Sameer Ratolikar, CISO at HDFC Bank. “With Securonix, we are using AI agents to reduce noise, accelerate investigations through natural-language search, and prepare response actions, all while keeping our analysts firmly in control.”

“We built Sam and Agentic Mesh to solve two problems CISOs face every day: unscalable workloads and unprovable AI value. By tying AI directly to analyst productivity and governing it by design, Securonix gives security leaders a practical, defensible way to scale operations that stands up to board and regulatory scrutiny.” – Simon Hunt, Chief Product Officer of Securonix

Conclusion

The result is a SOC that scales responsibly, maintains regulatory confidence, and produces outcomes leaders can explain to auditors, executives, and the board. Securonix’s outcome-driven approach to SIEM data economics, known as Data Pipeline Manager with Flex Consumption (DPM Flex), ensures the right data fuels AI and investigations without runaway SIEM spend.