Hands On AI Agent Mastery Course

Hands On AI Agent Mastery Course

Production AI Engineering

Lesson 24: SOC 2 Compliance — Audit Trail & Access Controls

Sep 29, 2026
∙ Paid

Introduction

Enterprise AI agents handle sensitive data, invoke external tools, and incur measurable cost. Auditors expect proof that access is controlled, actions are logged immutably, and tampering is detectable. This lesson implements SOC 2–aligned audit trails with chain-hash integrity, RBAC evidence, and an auditor-ready evidence pack. You simulate immutable S3 writes, verify tamper detection on a linked hash chain, and validate seven production controls on a live FastAPI dashboard.

Highlights

  • Immutable audit entries with SHA-256 chain hashes linking each event to the previous

  • Content-hash verification detects field-level tampering

  • SOC 2 control map (CC6.1–A1.2) with evidence URLs

  • FastAPI dashboard with non-zero metrics after /demo

  • Self-contained aiam-day24 on official python:3.12-slim via Docker Compose (port 8124)

What We Build

  • ImmutableAuditWriter for KMS-encrypted S3 audit objects

  • In-memory chain.py for demo and tests without AWS credentials

  • ComplianceService simulating audit trails, tamper detection, and evidence packs

  • FastAPI /health, /demo, /validate, /metrics, /dashboard

  • Scripts: start.sh, stop.sh, demo.sh, run_tests.sh, cleanup.sh

Connection to Previous Lesson

Day 23 established KEDA autoscaling and FinOps savings. Day 24 adds the compliance layer auditors expect once workloads scale: every agent action must be attributable, retained, and provably unmodified.

Enables Next Lesson

Day 25 (HIPAA-ready agents) builds on immutable logging and access controls. SOC 2 evidence here becomes the foundation for PHI handling and stricter RBAC enforcement.

Architecture Context

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