Measurable AI-Driven Productivity Shifts Security Operations with Securonix
Securonix Revolutionizes Security Operations with AI-Driven Productivity
As the volume of security alerts continues to overwhelm security operations teams, Securonix has introduced a groundbreaking approach to measurable AI-driven productivity. The company’s innovative solution, Sam, the AI SOC Analyst, and the Securonix Agentic Mesh, transforms the way security operations are conducted, enabling teams to scale analyst productivity, govern AI in production, and deliver board-ready outcomes.
Sam, the AI SOC Analyst
Sam, the AI SOC Analyst, is a governed, always-on 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 that every action is explainable, auditable, and policy-bound.
The Securonix Agentic Mesh
The Securonix Agentic Mesh is a governed orchestration layer that coordinates specialized AI agents across detection, investigation, response, and reporting. Built using Amazon Bedrock AgentCore, the Agentic Mesh maintains shared context, enforces enterprise policy, and ensures that every AI-assisted action is explainable, auditable, and reversible.
Securonix’s innovative approach to AI-driven productivity is designed to meet the growing demands of security leaders and boards, who require governed, measurable, and trusted AI solutions in production. With Sam and Agentic Mesh, AI augments human decision-making, rather than replacing it, resulting in a SOC that scales responsibly, maintains regulatory confidence, and produces outcomes that can be explained to auditors, executives, and the board.
Outcome-Driven Data Economics
The company’s outcome-driven data economics model, DPM Flex, ensures that the right data fuels AI and investigations without runaway SIEM spend. This approach supports predictable economics as environments scale, ensuring that productivity gains are not offset by rising data costs.
“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, and prepare response actions, all while keeping our analysts firmly in control.”
Simon Hunt, Chief Product Officer of Securonix, noted that the company built Sam and Agentic Mesh to solve two pressing problems faced by CISOs: 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.”
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