IT Security
LLM Application Security and Prompt-Injection Defense
LLM Application Security and Prompt-Injection Defense helps organizations reduce exploitable attack paths while preserving workable operations. Participants examine LLM attack surface, direct and indirect injection, and context and tool isolation before producing a risk-prioritized security design, playbook, or investigation record.
Overview
Practical learning for workplace transfer.
The course is designed around the decisions practitioners actually face in LLM Application Security and Prompt-Injection Defense. Its progression—from LLM attack surface through input-output controls—uses threat-led analysis, control testing, and realistic defensive scenarios. The final adversarial defense lab requires participants to justify recommendations, test assumptions, and set practical next steps.
Objectives
- Explain the role, scope, and business significance of LLM attack surface in helping organizations reduce exploitable attack paths while preserving workable operations.
- Diagnose direct and indirect injection through threat-led analysis, control testing, and realistic defensive scenarios and prioritize the most material gaps.
- Design an approach to context and tool isolation with the roles, safeguards, dependencies, and evidence needed to produce a risk-prioritized security design, playbook, or investigation record.
- Evaluate input-output controls using measures and failure scenarios appropriate to threat-led analysis, control testing, and realistic defensive scenarios.
- Complete the adversarial defense lab and translate its findings into owned actions leading toward a risk-prioritized security design, playbook, or investigation record.
Target audience
- Security architects, engineers, analysts, and SOC personnel
- CISOs, cyber-risk leaders, and incident coordinators
- Application, identity, infrastructure, cloud, and OT teams
- Audit, assurance, resilience, and technology managers
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: LLM attack surface
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Establish the vocabulary, boundaries, stakeholders, and decision context for LLM attack surface.
Convert the analysis into a role-specific threat scenario with explicit owners and decision gates. Separate established requirements and reliable evidence from untested assumptions about LLM attack surface.
Peer-review feasibility, unintended effects, and the evidence required before approval. Map LLM attack surface to the organization’s current responsibilities, dependencies, and constraints.
Module 2: direct and indirect injection
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Diagnose the current state of direct and indirect injection using a structured control validation lab.
Convert the analysis into a role-specific control validation lab with explicit owners and decision gates. Compare alternative methods and select an approach suited to risk, maturity, and scale.
Peer-review feasibility, unintended effects, and the evidence required before approval. Document requirements, owners, decision criteria, and exceptions for direct and indirect injection.
Module 3: context and tool isolation
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Design the workflow, safeguards, and handoffs required for context and tool isolation.
Convert the analysis into a role-specific incident or architecture exercise with explicit owners and decision gates. Test normal, failure, and edge-case scenarios before operational adoption.
Peer-review feasibility, unintended effects, and the evidence required before approval. Review the design for security, quality, accessibility, sustainability, or assurance implications as relevant.
Module 4: input-output controls
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Define meaningful measures, evidence, review cadence, and escalation thresholds for input-output controls.
Convert the analysis into a role-specific threat scenario with explicit owners and decision gates. Investigate performance gaps and separate root causes from symptoms.
Peer-review feasibility, unintended effects, and the evidence required before approval. Plan corrective action, controlled change, and accountable follow-through.
Module 5: Applied LLM Application Security and Prompt-Injection Defense Workshop
Interpret the issue through the organization’s processes, information, responsibilities, and risk appetite. Complete a control validation lab that integrates the course decisions around adversarial defense lab.
Convert the analysis into a role-specific control validation lab with explicit owners and decision gates. Defend recommendations against a realistic stakeholder challenge or scenario.
Peer-review feasibility, unintended effects, and the evidence required before approval. Produce a prioritized workplace action plan with owners, dependencies, and review points.
Materials provided
- Course workbook and subject reference guide
- Applied scenarios, worksheets, and decision templates
- Implementation checklist or roadmap canvas
- 4D Certificate of Completion
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 teaches LLM Application Security and Prompt-Injection Defense through threat-led analysis, control testing, and realistic defensive scenarios shaped around the client’s sector and participant roles. The group builds a risk-prioritized security design, playbook, or investigation record, tests it against stakeholder challenges, and records the evidence still needed for implementation. The program does not claim third-party certification, regulatory approval, or guaranteed compliance.
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