Securonix, in collaboration with Amazon Net Providers (AWS), has introduced Sam, the AI SOC Analyst, and the Securonix Agentic Mesh, introducing a brand new working mannequin for safety operations designed to scale analyst productiveness, govern AI in manufacturing, and ship board-ready outcomes.
At a time when safety operations are overwhelmed by alert quantity, analyst shortages and rising SIEM prices, Securonix is shifting the dialog from AI options and consumption metrics to measurable work delivered. With Sam and Agentic Mesh, safety leaders can now quantify how a lot analyst work AI completes, govern each AI-assisted motion, and talk impression in operational and enterprise phrases.
Sam, the AI SOC analyst
Sam is Securonix’s AI SOC Analyst. It’s a ruled, always-on digital teammate that expands SOC capability with out including headcount. Sam automates Tier 1 and Tier 2 safety operations work, together with alert triage, investigation, correlation and response preparation.
Sam operates natively contained in the Securonix Unified Defence SIEM and coordinates specialised AI brokers via the Agentic Mesh. Human analysts stay in management via built-in human-in-the-loop oversight, guaranteeing each motion is explainable, auditable and policy-bound.
Sam represents a brand new unit of worth in safety operations. Reasonably than measuring AI by utilization or consumption, Sam permits safety leaders to measure outcomes in analyst work accomplished. Every Sam delivers an outlined pool of analyst-equivalent productiveness, operates beneath full coverage enforcement and human oversight, and reduces alert fatigue by absorbing repetitive work at machine pace.
By pricing AI primarily based on analyst productiveness somewhat than knowledge quantity or function sprawl, Sam permits predictable economics and board-ready ROI narratives.
How Sam works
Sam orchestrates specialised AI brokers throughout noise discount, investigation enrichment, response steerage and reporting, presenting plain-language summaries analysts can overview, validate and act on.
Sam is licensed primarily based on verified analyst-equivalent work carried out by AI, with productiveness tracked transparently to quantify analyst hours saved and operational throughput gained. By absorbing repetitive Tier 1 and Tier 2 investigative work, Sam permits human analysts to concentrate on judgment, escalation and high-risk decision-making with out including headcount.
Agentic Mesh: Ruled orchestration at scale
Sam operates throughout the Securonix Agentic Mesh, a ruled orchestration layer that coordinates specialised AI brokers throughout detection, investigation, response and reporting.
Not like copilots or monolithic AI assistants, Agentic Mesh is designed as a system of labor, not a function. It maintains shared context, enforces enterprise coverage, and ensures that each AI-assisted motion is explainable, auditable and reversible.
Constructed utilizing Amazon Bedrock AgentCore, Agentic Mesh operates securely throughout the buyer atmosphere, offering enterprise-grade isolation, resiliency and scale.
Turning AI Into ruled, board-ready safety operations
Safety leaders and boards are not asking whether or not AI is getting used within the SOC. They’re asking whether or not it’s ruled, measurable and trusted in manufacturing.
Sam and Agentic Mesh had been designed particularly to satisfy this requirement. Each AI-assisted motion operates beneath coverage guardrails, enforces separation of duties, and may be reviewed, accredited, or reversed by analysts. AI augments human decision-making somewhat than changing it.
The result’s a SOC that scales responsibly, maintains regulatory confidence, and produces outcomes leaders can clarify to auditors, executives and the board.
End result-driven knowledge economics with DPM Flex
Supporting this productivity-based AI mannequin is Information Pipeline Supervisor with Flex Consumption (DPM Flex), Securonix’s outcome-driven method to SIEM knowledge economics.
DPM Flex ensures the best knowledge fuels AI and investigations with out runaway SIEM spend by routing telemetry primarily based on analytical worth somewhat than uncooked quantity. This helps predictable economics as environments scale and ensures productiveness features usually are not offset by rising knowledge prices.
At HDFC Financial institution, one of many world’s largest monetary establishments, Securonix is getting used to operationalise agentic AI at scale whereas sustaining strict regulatory oversight.
“In a regulated financial environment, AI must earn trust through transparency and control,” mentioned Sameer Ratolikar, the chief info safety officer at HDFC Financial institution. “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.”
“We built Sam and Agentic Mesh to solve two problems CISOs face every day: unscalable workloads and unprovable AI value,” mentioned Simon Hunt, the chief product officer of Securonix. “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.”
Availability
Sam, the AI SOC Analyst, which operates throughout the Agentic Mesh, and Information Pipeline Supervisor with DPM Flex can be found now for Securonix prospects worldwide.
Touch upon this text through X: @IoTNow_ and go to our homepage IoT Now
