Securonix and AWS Launch Agentic Mesh with First Productivity-Based AI Model for SOC

Securonix and AWS Launch Agentic Mesh with First Productivity-Based AI Model for SOC

India, Feb 25: Securonix, Inc., working closely with Amazon Web Services (AWS), today announced the Securonix Agentic Mesh and SAM, the AI SOC Analyst. The launch advances agentic AI for cybersecurity with a governed, explainable network of intelligent agents designed to elevate human analysts and measurably improve productivity across security operations.

The Securonix Agentic Mesh, built on AWS AgentCore, provides a unified orchestration layer for AI agents operating within the SOC. It enables AI-driven investigation and response while enforcing policy, governance, and human oversight.

Within the Agentic Mesh, SAM coordinates a modular set of AI agents optimized for specific operational tasks, including investigation context, search assistance, response preparation, noise reduction, and data pipeline optimization.

By orchestrating these agents together, the platform reduces alert fatigue, improves investigation consistency, and accelerates mean time to detection and response without sacrificing governance or visibility.

Analysts can review decisions, request deeper analysis, or pause actions to ensure AI remains transparent and accountable.

The announcement comes at a pivotal moment in the cybersecurity industry. According to the 2025 “Evolution of Cybersecurity Automation and AI Adoption” report, 97% of security leaders now consider automation business-critical, and 56% cite productivity as the top driver for adopting AI.

Introducing Productivity-Based AI Pricing for the SOC

As part of the launch, Securonix is introducing the cybersecurity industry’s first productivity-based AI pricing model. Rather than charging based on ingestion volume or seats, customers license SAM based on the amount of investigation work performed, measured in minutes of analyst time.

Usage is tracked in real time and visible within the Securonix platform, allowing security leaders to clearly see time saved, time billed, and operational impact. Each customer receives a baseline capacity, with the flexibility to expand in proportion to the value realized.

“At HDFC, we look for technology that strengthens our resilience and elevates our people. SAM delivers both. It gives our analysts a trusted partner working beside them at all hours and provides leadership with transparent, measurable AI value.”

said Sameer Ratolikar, Chief Information Security Officer, HDFC Bank

The Human-in-the-Loop SOC Operating Model

Agentic Mesh AI activity operates under Agentic Guardrails that enforce scope, policy, escalation rules, and separation of duties. Analysts interact with SAM through a guided interface where every decision includes step-by-step reasoning. Analysts can request deeper analysis, challenge findings, or pause actions for review, ensuring AI remains explainable, auditable, and aligned with organizational policy.

“We designed SAM and the Agentic Mesh to feel like a trusted teammate, not a black box,” said Kash Shaikh, CEO and President of Securonix. “With governed autonomy, a human-in-the-loop model, and transparent productivity metrics, we are giving security leaders a practical and accountable way to apply AI in the SOC.”

Built-In Governance and Secure Deployment

All AI operations are executed securely within the customer’s AWS environment. Every action taken by SAM or supporting agents is logged and auditable by design, supporting internal security reviews and external compliance requirements. The architecture aligns with Securonix responsible AI principles and ongoing ISO 42001 readiness efforts.

“AWS is proud to power the Securonix Agentic Mesh and SAM with AgentCore,” said Swami Sivasubramanian, Vice President of Data and AI at AWS. “Together, we are enabling customers to deploy scalable, explainable AI with trust and transparency at its core.”

Bridging the AI Fluency Gap in the SOC

Industry research continues to show that successful AI adoption depends as much on analyst readiness as on technology. To address this, Securonix is introducing the Agentic

Academy, a structured enablement program that helps SOC teams learn how to supervise, collaborate with, and derive value from AI-driven workflows.

The program focuses on practical interaction with SAM, interpretation of AI outputs, and effective human oversight to ensure AI-driven operations deliver sustained value.

Together, Agentic Mesh and SAM mark a shift from experimental AI to accountable, outcome-driven security operations.