Tutorials ASP.NET Core with Agentic AI Tutorial

AI Auditing — Complete Guide

AI Auditing — 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 55 of 100

AI Auditing

AI basics ✓Agents

Agents · 2 — Build · ~10 min · Module 6: AI Security and Observability

What is this?

AI auditing records who asked what, which tools ran, and which chunks grounded answers. AgentNest writes immutable audit rows for CRM, hospital, and ERP agent actions.

Why should you care?

SOX and HIPAA reviews require reconstructing AI-assisted decisions months later.

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.Audit/AiAuditWriter.cs
public sealed class AiAuditWriter(AgentNestDbContext db)
{
    public async Task WriteAsync(AiAuditEntry entry, CancellationToken ct)
    {
        db.AiAudits.Add(new AiAuditEntity
        {
            TenantId = entry.TenantId, UserId = entry.UserId, Agent = entry.Agent,
            PromptHash = SHA256.HashData(Encoding.UTF8.GetBytes(entry.Prompt)),
            ToolsJson = JsonSerializer.Serialize(entry.Tools), CreatedUtc = DateTime.UtcNow
        });
        await db.SaveChangesAsync(ct);
    }
}

What happened?

  • AiAuditWriter stores prompt hash and tool list — not always full prompt text — balancing forensics with PHI minimization.
  • Follow the steps below — typing the code yourself is the fastest way to learn.

Practice next

  1. Create AiAudits table with tenant, user, agent, prompt_hash, tools_json.
  2. Call AiAuditWriter from AgentBase after each successful run.
  3. Retain audits per tenant contract — e.g., 7 years finance.
  4. Ship audit events to Azure Event Hub for SIEM.
  5. Add chunk IDs retrieved field for RAG traceability.

Remember

Audit agent runs with tenant, user, tools, prompt hash. Minimize PHI in stored prompt content. Immutable SQL audit trail for enterprise customers.

SOX ERP review

Auditors trace AI-generated variance narrative to tools and source GL lines.

Outcome: AiAudit rows link agent run to fetch_balance calls and user identity.

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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