Course · AI Security & Governance
AI Security: Defend LLM Apps Against the OWASP LLM Top 10
LLM applications fail in ways traditional appsec never had to model: the input is the instruction, the retrieval corpus is attacker-reachable, and the agent has tools. This course breaks and then secures each of those, hands-on.
Prompt injectionRAG securityAgent safetyOWASP LLM Top 10Model supply chainRed teaming
What you will be able to do
- Exploit direct and indirect prompt injection, then build layered defences that survive testing
- Secure RAG pipelines: corpus trust boundaries, retrieval filtering and citation integrity
- Contain excessive agency — tool scoping, approval gates and blast-radius limits for agents
- Handle sensitive-information disclosure, system-prompt leakage and output handling failures
- Address supply-chain and model-poisoning risk in the components you did not write
- Work through the full OWASP Top 10 for LLM Applications (2025) with labs for each entry
Who this course is for
Developers shipping LLM and agent features
Application security engineers reviewing AI products
AI engineers who need a real threat model, not a checklist
Course facts
- Level
- All Levels
- Platform
- Udemy — lifetime access, mobile and TV, 30-day refund
- Includes
- Downloadable resources, Q&A support and a certificate of completion
- Instructor
- Nexus Academy — cybersecurity, compliance, cloud and AI
Next step
Start AI Security today
Enrol on Udemy and keep the course for life, or read the full briefing on this topic first.