Modules
Take single modules or the whole track. Two hour sessions, combined into half days where it suits your calendar.
AI Security Foundations
STRIDE for AI, the NIST AI RMF and the reality of shadow AI.
- STRIDE for AI and ML systems
- Trust boundaries for AI
- The NIST AI RMF
- Real incidents and shadow AI
Requires the Threat Modelling Core modules or equivalent first.
The OWASP LLM Top 10 and PIPE
Craft and test real prompt-injection payloads, then build the defences.
- Prompt injection and jailbreaking, hands-on
- The PIPE methodology
- Training-data extraction and supply-chain risk
- Backdoor and adversarial attacks
Securing RAG and Agentic AI
Retrieval poisoning, autonomous-action risk and multi-agent coordination threats.
- RAG retrieval poisoning and vector DB vulnerabilities
- Autonomous-action and tool-calling risk
- Multi-agent coordination risk
- AI-specific detection and incident response
Teams Often Pair This With
Related modules other teams add alongside this track.
Security and Threat Modelling · Threat Modelling Core
STRIDE and Data Flow Diagrams
Map attack surfaces with data flow diagrams and categorise threats with STRIDE.
View module Security and Threat Modelling · Architecting Secure LLM ApplicationsSecure-by-Design for AI Features
Build security into AI features from the start, not bolted on afterwards.
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