Agentic SOC provides an AI‑powered L1 security operations analyst that integrates with existing SIEM, SOAR, and ticketing tools to automatically triage alerts, enrich context, and launch response playbooks. The platform uses multi‑agent workflows that mimic human analyst behavior, delivering explainable decisions with full rationale and an event trail for human review, enabling SOC teams to accelerate response without replacing current investments.
Funding
Funding not disclosed
Founders
Product
Problem
Security Operations Centers (SOCs) face a high volume of alerts that require manual triage, enrichment, and routing, leading to delayed response times and analyst fatigue. Existing automation tools often act as black boxes, providing little insight into decision rationale and requiring extensive integration effort.
Solution
Agentic SOC delivers an AI‑powered L1 analyst that plugs directly into a organization’s SIEM, SOAR, and ticketing systems. The platform uses multi‑agent workflows to replicate human analyst steps—triage, context enrichment, initial assessment, and routing—while launching playbooks automatically. Each automated action is accompanied by a detailed rationale, enrichment data, and an event trail, enabling analysts to review and validate decisions. Human oversight remains integral, allowing teams to intervene or adjust actions as needed. By leveraging existing security investments, Agentic SOC accelerates alert handling without replacing current tooling.
Target Audience
Primary customers are SOC teams in mid‑size to large enterprises that operate existing SIEM/SOAR stacks and need to improve L1 alert triage efficiency while maintaining oversight.
Features
- Multi‑agent workflow engine that models L1 analyst behavior for end‑to‑end alert processing
- Seamless integration with major SIEM, SOAR, and ticketing platforms via native connectors
- Automatic enrichment of alerts with asset criticality, IOC reputation, and recent login data
- One‑click triggering of SOAR playbooks using AI‑generated context and confidence scores
- Explainable AI output that provides decision rationale, enrichment details, and a full audit trail
- Configurable human‑in‑the‑loop controls for review, approval, or escalation of automated actions