# AINS6301: Automated Response Systems

**Aurnova MSAI track:** Cybersecurity AI  
**Credits:** 3  
**Format:** 8-week online graduate course

Builds AI-assisted incident response playbooks, orchestration, remediation, escalation, testing, and learning loops.

This course follows the Aurnova/Castalia course-site pattern used by AINS6003: each module includes book prose, an assignment notebook, slide notebook, narration, instructor notes, and an executable lab.

## Course Outcomes

By the end of the course, students will be able to:

- explain the major concepts and tradeoffs in Automated Response Systems;
- build or evaluate applied AI artifacts aligned with the course domain;
- document assumptions, evidence, limitations, and operational risks;
- connect technical work to governance, stakeholder needs, and deployment readiness.

## Module Map

1. **Incident response lifecycle** — Where can automation improve response?
2. **Playbooks and decision trees** — How do procedures become executable response logic?
3. **SOAR and tool orchestration** — How do response systems coordinate tools?
4. **Containment and remediation automation** — What actions can be safely automated?
5. **Human approval and escalation** — When must people remain in the loop?
6. **Testing response automation** — How can automation be validated before incidents?
7. **Post-incident learning** — How does the system improve after response?
8. **Automated response readiness review** — What makes a response system deployable?