Tutorials ASP.NET Core with Agentic AI Tutorial

Prompt Injection — Complete Guide

Prompt Injection — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ASP.NET Core with Agentic AI Tutorial on Toolliyo Academy.

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ASP.NET Core with Agentic AI Tutorial · Lesson 51 of 100

Prompt Injection

AI basics ✓Agents

Agents · 2 — Build · ~6 min · Module 6: AI Security and Observability

What is this?

Prompt injection is when untrusted user text manipulates model instructions — hide system rules, exfiltrate data. AgentNest treats CRM notes and ticket bodies as hostile input.

Why should you care?

Attackers paste ignore-previous-instructions into hospital intake forms to bypass triage guardrails.

See it live — copy this example

Paste into an ASP.NET Core 8+ / AgentNest project, then run with dotnet run (set your API keys in user-secrets).

// AgentNest.Security/PromptGuard.cs
public static class PromptGuard
{
    static readonly string[] Blocked = ["ignore previous", "system prompt", "dump secrets"];
    public static string SanitizeUserInput(string input)
    {
        if (Blocked.Any(p => input.Contains(p, StringComparison.OrdinalIgnoreCase)))
            throw new InvalidOperationException("Blocked prompt pattern detected.");
        return input.Length > 4000 ? input[..4000] : input;
    }
}

// Usage in controller before agent call
var safe = PromptGuard.SanitizeUserInput(req.UserMessage);

What happened?

  • PromptGuard blocks known injection phrases and caps length before messages reach IChatClient.
  • Defense layers combine with output filtering.

Practice next

  1. Run all external user text through PromptGuard.
  2. Separate system instructions from user content in API messages.
  3. Never put secrets in prompts — models may repeat them.
  4. Add ML-based injection classifier as second gate.
  5. Log blocked patterns with tenantId for security review.

Remember

Treat user content as untrusted in AgentNest prompts. Sanitize, length-limit, and structure message roles. Combine input guards with authorization on tools.

CRM chat hardening

Prospect embeds injection text in web form message to steal system prompt.

Outcome: PromptGuard rejects pattern; audit log alerts security without calling OpenAI.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain Concepts in the context of ASP.NET Core with Agentic AI.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Concepts…
Mid Detailed
What are common mistakes teams make with LLMs when using ASP.NET Core with Agentic AI?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define LLMs in p…
Senior Detailed
How would you debug a production issue related to RAG in a ASP.NET Core with Agentic AI application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define RAG in pl…
Junior Detailed
Describe a real-world scenario where Production mattered in a ASP.NET Core with Agentic AI project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Productio…
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ASP.NET Core with Agentic AI Tutorial
Course syllabus

ASP.NET Core with Agentic AI Tutorial

Module 1: AI and Agentic AI Foundations
Module 2: ASP.NET Core AI Fundamentals
Module 3: Semantic Kernel
Module 4: AI Agents and Multi-Agent Systems
Module 5: RAG and Vector Databases
Module 6: AI Security and Observability
Module 7: Cloud-Native AI and DevOps
Module 8: AI SaaS and Enterprise Systems
Module 9: AI System Design and Architecture
Module 10: Enterprise AI Projects
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