Securonix, in collaboration with Amazon Web Services (AWS), has introduced a new operating model for security operations: the Agentic SOC, powered by Agentic Mesh and Sam, the AI SOC Analyst.
At a time when SOC teams are overwhelmed by alert volume, analyst shortages, and rising SIEM costs, this launch shifts AI in the SOC from experimentation to accountable, production use. Instead of isolated copilots or opaque automation, Securonix delivers governed, human-in-the-loop AI measured by the work it completes for analysts.
What’s new:
- Agentic Mesh, built on Amazon Bedrock AgentCore, orchestrates a governed network of purpose-built AI agents across detection, investigation, response, and reporting.
- Sam, the AI SOC Analyst, absorbs Tier 1 and Tier 2 investigation work while remaining fully explainable, auditable, and policy-bound.
- Productivity-based AI economics, licensing AI by verified analyst work delivered, not data volume, tokens, or seats.
Security leaders can now answer a simple question with confidence: How much security work did AI actually get done?
Read the full announcement to learn how Securonix is redefining SOC operations with governed autonomy, predictable economics, and board-ready outcomes.
|
|
|
|
" In a regulated financial environment, AI must earn trust through transparency and control. 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. The result is a more productive SOC and clearer visibility into how AI is contributing to real operational outcomes. "
— Sameer Ratolikar, CISO, HDFC Bank
|
|
|