AI Security: Defending LLM Applications
Secure the new attack surface: prompt injection (direct and indirect), jailbreak patterns, data exfiltration through model outputs, insecure tool invocation and RAG poisoning — each demonstrated against a deliberately vulnerable LLM app, then systematically defended with layered guardrails and measured red-team-style regression tests.
What this course covers.
5 modules, 35 named skill atoms. Expand any module to see them.
1LLM Threat Model7 skill atoms
2Prompt Injection Defense7 skill atoms
3Data Exfiltration Controls7 skill atoms
4RAG & Tool Hardening7 skill atoms
5Guardrail Engineering7 skill atoms
SEC-501 in the role journeys.
This course appears in 2 of our 45 role journeys. Here is what a learner takes immediately before and after it in each.
Roles this course serves
This course is authored to band B5.
Every course we run is written to one rung of the CASI ladder, so a plan can be assembled to take a team from where they are to where they need to be.
What do B1–B6 mean?The CASI Capability Ladder — click to expand
Every course targets a band on the CASI Capability Ladder — our six-band proficiency scale, anchored to open standards (O*NET, ESCO, NICE, NIST AI RMF, Bloom's). A band tells you how deep a course goes, and what evidence proves it.
A note on B6. Courses in this catalog target B1–B5. B6 is not taught — it is recognised, through a portfolio and a panel, once someone is setting direction for others. Every journey here is built to land a learner at B5.
Other Security courses at this level.
Cloud IAM at Scale: Federation & Workload Identity
Incident Response & Recovery Engineering
Detection Engineering & Threat Hunting
Adversary Simulation & Purple Teaming
Securing Agentic AI Systems
Sovereign Cloud & Data Residency Architecture
Run SEC-501 for your team.
This course runs at several lengths depending on how deep you need to go and how much of it your people already have. Tell us who is being trained and we will scope it.