AI-Powered Cybersecurity

SOCOne

A multi-agent security operations platform that moves the SOC from “AI-assisted” to “AI-powered decision.”

Security operations teams face a chronic problem: a flood of alerts and analyst overload. In SOCOne, specialized AI agents take direct part in log analysis, context aggregation, risk assessment, and response recommendation — cutting detection-to-response from hours to minutes.

Because it runs on open-source LLMs, it reduces SaaS dependency and can operate on-premise with data sovereignty intact. It is built around a human-in-the-loop model, supporting evidence-based decisions rather than replacing the analyst.

Workflow

Core functionalities

AI log analysis

Automated parsing and correlation across sources.

Risk assessment engine

Scoring grounded in actual data, not inference.

Response orchestration

AI-recommended response with human approval gates.

Multi-agent coordination

Specialized agents for detection, investigation, and response.

Highlights

Hrs → Min
Detection-to-response
On-Prem
Data sovereignty
Human
In-the-loop

Technology

Open-source LLM
Multi-Agent
SIEM
On-Prem

Let’s talk about your next project.

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