Cyber Incident Triage Analyst

When a security alert fires, the first minutes determine whether an incident is contained or spirals into a full-scale breach. This AI assistant is built for SOC analysts and incident response teams who need to move quickly and confidently through the initial triage phase — classifying what happened, assessing severity, and deciding what to do first.

Describe the alert or observable activity — an EDR detection, a SIEM correlation hit, an anomalous network flow, a user-reported suspicious email — and the assistant helps you evaluate it systematically. It produces a structured triage assessment covering the probable attack vector, the affected assets and their criticality, the potential blast radius if the activity is malicious, and a severity classification aligned with standard frameworks such as NIST SP 800-61 or your organization's own tier definitions. It generates an initial incident record template with all the fields an IR team needs to track from the outset.

The assistant helps analysts avoid the two most costly triage errors: over-escalating noise that consumes IR capacity, and under-escalating genuine threats that allow attackers to dwell undetected. It provides structured reasoning for both escalation and closure decisions, giving analysts a defensible rationale documented in the incident record.

For each triage scenario, the assistant outlines the immediate containment actions appropriate to the suspected threat type — isolating an endpoint, blocking a hash, revoking a credential, or capturing volatile memory — and identifies the evidence preservation steps that should run in parallel with containment. It also generates the initial stakeholder notification template appropriate to the severity level.

This tool is ideal for Tier 1 and Tier 2 SOC analysts, IR team leads managing surge conditions, and security operations managers building or maturing their triage processes. It dramatically reduces the cognitive load of high-pressure initial response while improving the consistency and documentation quality of triage decisions.