IncidentAI helps teams triage security incidents, classify severity, coordinate owners, map response actions, and preserve a clean incident record with AI-assisted ticketing.
Enterprise access only. aneo provisions IncidentAI after onboarding so workflows, roles, and response records match the customer environment.
IncidentAI is an enterprise AI-powered security incident management and ticketing system. It supports triage, classification, ownership, response planning, MITRE ATT&CK mapping, evidence notes, and closure summaries so incident work is easier to act on and easier to explain.
IncidentAI connects intake, enrichment, triage, investigation, response, and RCA without removing human review from the process.
AI intake starts with an incident description. It asks once for missing context, then populates the ticket fields and shows an individual confidence percentage and review status for each extracted value.
Analysts can edit fields, upload attachments, assign ownership, change status, add comments, and regenerate AI outputs. Tickets can also arrive as complete records from an organization-configured email address, with email attachments added to the ticket and its analysis context.
IncidentAI can suggest MITRE ATT&CK tactics, techniques, and evidence references. Analysts can accept, edit, dismiss, or add mappings manually, then generate containment, investigation, validation, and recovery actions. Activity remains logged for review.
Start with AI plain-English intake, manual entry, or a complete ticket from an organisation-configured email address.
Review extracted fields, add attachments, and regenerate resolution or remediation outputs when new context arrives.
Confirm category, data, urgency, impact, business risk, priority, confidence, assignee, and status.
Add comments, review evidence and activity, build the timeline, and accept or edit MITRE ATT&CK mappings.
Generate containment, investigation, validation, and recovery actions, then assign, update, and resolve with a reason.
Generate an editable RCA from the activity log, comments, attachments, and final resolution data.
IncidentAI follows the full incident lifecycle: intake, enrichment, triage, investigation, response, and RCA. AI organizes the work, while accountable people review the evidence, approve actions, and own closure.
IncidentAI is designed for teams that need faster security incident response without losing decision quality, ownership, or auditability.
Classify incident type, severity, affected systems, business impact, and required response actions with AI assistance.
Assign owners, next steps, approvals, and handoffs so security, IT, legal, and operations teams stay aligned.
Keep timelines, notes, evidence, rationale, and decisions together for review, reporting, and post-incident improvement.
Reduce repetitive ticket work with summaries, suggested actions, duplicate checks, and consistent incident documentation.
IncidentAI makes each stage visible, with AI support where it reduces manual work and ambiguity without removing human review from the process.
Create a ticket with AI plain-English intake, fill it manually, or receive a complete ticket with attachments through an organisation-configured email address.
Review extracted fields, add attachments and analyst context, and regenerate resolution or remediation outputs when the evidence changes.
Confirm category, data, urgency, impact, business risk, priority, confidence, ownership, and the next status transition.
Use comments, attachments, activity history, timelines, and reviewable MITRE ATT&CK mappings to test what happened.
Generate containment, investigation, validation, and recovery actions, assign the work, update status, and provide a reason when resolving.
Once resolved, IncidentAI generates an editable RCA using the complete activity log, comments, attachments, and final resolution data.
IncidentAI helps analysts summarize context, reduce noise, propose response paths, and maintain a consistent record while human teams remain in control of decisions and actions.
Security incident workflows are sensitive. aneo sets up IncidentAI with the customer so access, process, data handling, and response expectations are clear before teams start using it.
IncidentAI is set up by aneo after onboarding so users, roles, permissions, workflows, and response records match the customer environment.
Teams can align incident categories, escalation paths, approval steps, reporting needs, and playbooks to their operating model.
AI suggests classification, rationale, summaries, and next actions. Your team remains responsible for review, approval, and execution.
IncidentAI can draft triage logic, summaries, likely causes, suggested next steps, and response records. Your organization remains responsible for validation, execution, communication, and closure.
IncidentAI is an enterprise AI security incident management and ticketing system that helps teams triage incidents, classify severity, coordinate response actions, and preserve a clear incident record.
No. IncidentAI is an enterprise product. aneo provides access after a demo and onboarding so customer users, roles, workflows, and incident processes are configured correctly.
No. IncidentAI proposes classification, likely causes, response steps, summaries, and documentation. Human teams review and approve decisions before action is taken.
Yes. IncidentAI can assist with MITRE ATT&CK tactic and technique mapping where the incident has relevant cyber behavior and enough context for analysis.
IncidentAI is built for lean security, IT, SecOps, MSP, and operations teams that need structured incident handling without adding unnecessary process overhead.
IncidentAI helps document incident classification, severity, data category, suspected cause, response steps, ownership, notes, timeline, decisions, evidence, and closure summaries.
Talk to aneo about IncidentAI access, onboarding, workflows, roles, data handling, and how AI-assisted incident ticketing can fit your response process.
Every response stage stays visible to the team.
