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