AI Security Principles & Practices: GenAI & LLM Defense
In development · enrolment sequence to be confirmed
01Overview
GenAI and LLM defence: prompt injection defence, output handling security and LLM-specific controls, cross-referenced to the OWASP Top 10 for LLM Applications.
The defensive core: AI threat taxonomy, control-plane implementation, token security, pipeline and model integrity, and AI incident response.
Intended for: Security practitioners moving into AI security or deepening it
02Planned topics
Planned · outcomes published with the specification- GenAI and LLM defence
- Prompt injection defence
- Output handling security
- LLM-specific control implementation
03Proposed case references
Source review pendingProposed connection, subject to source review. The specific connection between each case and the course content is published with the approved specification.
04Proposed framework references
Under reviewControl framework alignment and control level are published with the approved specification. Referencing a framework does not mean its publisher has approved or endorsed a course.
05Assessment
06Instructor
Instructors are practitioners appointed against a written standard for the ASD domain.