IT Security
AI System Security and LLM Threat Modeling
This in-depth course develops directly applicable capability in AI System Security and LLM Threat Modeling. It connects AI System Attack Surface, LLM-Specific Threats, and Threat Modeling and Control Selection to the decisions, controls, and activities participants need to perform in their workplace.
Overview
Practical learning for workplace transfer.
This in-depth course develops directly applicable capability in AI System Security and LLM Threat Modeling. It connects AI System Attack Surface, LLM-Specific Threats, and Threat Modeling and Control Selection to the decisions, controls, and activities participants need to perform in their workplace. The five-module curriculum progresses toward AI Security Design Review, using evidence, scenarios, and work products appropriate to the subject.
Objectives
- Analyze ai system attack surface, including models, prompts, vector stores, tools, agents, apis, and data pipelines.
- Configure or structure llm-specific threats, including prompt injection, insecure output handling, model denial of service, and extraction.
- Evaluate threat modeling and control selection, including data-flow diagrams, stride-style analysis, and misuse cases.
- Manage security testing and monitoring, including adversarial prompt suites, tool-call tests, and retrieval attacks.
- Apply ai security design review, including threat-model an enterprise agent or rag application.
Target audience
- Professionals responsible for this subject area
- Managers, supervisors, and team leaders
- Analysts, specialists, engineers, or coordinators working with the relevant processes
- Project, implementation, assurance, or improvement team members
- Professionals preparing for broader responsibilities in this field
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: AI System Attack Surface
Models, prompts, vector stores, tools, agents, APIs, and data pipelines
Trust boundaries across users, providers, plugins, and enterprise systems
Asset classification and abuse-case development
Module 2: LLM-Specific Threats
Prompt injection, insecure output handling, model denial of service, and extraction
Training-data poisoning, supply-chain compromise, and excessive agency
Sensitive information disclosure and cross-tenant leakage
Module 3: Threat Modeling and Control Selection
Data-flow diagrams, STRIDE-style analysis, and misuse cases
Controls for identity, tool permissions, sandboxing, and context isolation
Risk rating using likelihood, impact, and control strength
Module 4: Security Testing and Monitoring
Adversarial prompt suites, tool-call tests, and retrieval attacks
Telemetry for prompts, policy decisions, tools, data, and outcomes
Incident triggers, containment paths, and forensic limitations
Module 5: AI Security Design Review
Threat-model an enterprise agent or RAG application
Map risks to preventive and detective controls
Present residual risk and prioritized engineering changes
Materials provided
- ○ Course-specific presentation slides
- ○ Guided exercises, scenarios, or configured-environment activities appropriate to the subject
- ○ Course-specific worksheets, checklists, or calculation templates
- ○ Applied workplace case materials
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for implementation questions
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D Training & Consultancy adapts the program to the client’s operating environment. Delivery combines structured explanation with subject-specific analysis, exercises, and implementation decisions so participants can transfer the learning to real responsibilities without implying vendor authorization.
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