AI and LLM Security
Threat modeling, prompt injection defense, excessive agency controls, and AI red teaming
The gold standard curriculum for AI application security. Systematically master the OWASP Top 10 for Large Language Model Applications. Learn direct and indirect prompt injection attacks, sensitive training data leakage, excessive agent agency, RAG permission bypasses, model supply chain poisoning, and how to conduct professional AI red teaming.
Course Specifications
Syllabus & Learning Rooms (10)
Progressive sequence of concept briefings, hands-on terminal flag challenges, and a capstone boss assessment.
The LLM attack surface
Lesson BriefThreat modeling prompts, retrieved chunks, tool plugins, and downstream sinks.
Prompt injection
Lesson BriefWhy shared instruction/data channels create inherent vulnerabilities.
Lab: Spot the injection
Hands-on LabFind malicious hidden instructions embedded in ingested third-party documents.
Insecure output and data leakage
Lesson BriefTreating model completions as untrusted input to avoid client/server injection.
Lab: Excessive agency
Hands-on LabEvaluate agent tool bindings to prevent unconstrained destructive file operations.
Training data, supply chain and model risks
Lesson BriefModel provenance, poisoned weights, and cost exhaustion defenses.
Securing RAG and agents
Lesson BriefEnforcing per-user document ACLs at retrieval time and sandboxing agents.
Testing LLM apps and AI red teaming
Lesson BriefBuilding structured test suites to benchmark AI resilience against jailbreaks.
Lab: Find the leak
Hands-on LabUncover leaked credentials and internal notes in production chatbot responses.
Boss: Secure the AI app
Boss ChallengeHarden an enterprise generative AI assistant against multi-vector adversary bypasses.
Skills You Will Master
Every concept is tested against real-world target scenarios, log files, or code repositories.
- OWASP Top 10 for LLM Applications threat modeling
- Direct & indirect prompt injection mechanisms & defense-in-depth
- Insecure output handling mitigation (preventing secondary XSS and shell injection)
- Excessive agency prevention with scoped tools and human-in-the-loop approvals
- Model supply chain integrity, poisoned training sets, and artifact hashing
- Securing multi-tenant Retrieval-Augmented Generation (RAG) pipelines
- Structured AI red teaming test harnesses and automated jailbreak benchmarking
Prerequisites
- Understanding of web application security and generative AI fundamentals
Associated Career Roles
Devwalls Certified AI and LLM Security Practitioner
Upon completing all 10 rooms, you unlock the official proctor-free examination. Score 70% or higher to earn this credential, complete with LinkedIn integration, PDF generation, and public verification ID.
Frequently Asked Questions about AI and LLM Security
Why is AI and LLM security one of the fastest-growing fields in cybersecurity?
As companies deploy enterprise AI assistants, chatbots, and autonomous agents, traditional firewalls cannot protect against prompt injection or RAG data leaks. AI security practitioners are in massive demand globally.
Does the DCLP certification demonstrate hands-on competence?
Yes! Earning DCLP requires completing all 10 hands-on labs and passing the 20-minute timed certification exam.
Ready to master AI and LLM Security?
Join thousands of learners building real cybersecurity and AI defense capabilities with Devwalls Academy.