# SecureTheCloud Labs — Start Here

Status: Learning Path Reference Baseline

## Purpose

This document gives learners a clear starting point for SecureTheCloud Labs.

As the LAB platform grows, learners should not be forced to guess where to begin. Each track should have a recommended entry point, prerequisite chain, and progression path.

---

## Primary Learning Flow

```text
Start Here
→ choose a learning domain
→ complete foundation modules
→ complete intermediate modules
→ complete evidence / quality gate modules
→ move into advanced or specialized tracks
Recommended Starting Path

For most learners, start with:

1. Cloud / platform security foundations
2. Governance and risk concepts
3. AI Governance Command Center
4. AI Security Engineering
5. Advanced red team, agent security, and runtime defense labs
Current Portfolio Anchor

The current completed intermediate AI curriculum is:

AI Governance Command Center Track

It teaches:

AI governance foundations
risk tiering
policy gates
human approval
agent workflow governance
observability and support handoff
executive demo boundaries
agent tool-use risk
prompt injection and tool hijacking
RAG data boundaries
approval gate design
audit evidence and traceability
cost, token, and rate-limit governance
Next Track Direction

The next planned track is:

AI Security Engineering L2 Track

This track should teach learners how to engineer secure AI systems, not only govern them.

Boundary

This document is a learning-path reference only.

It does not create live backend exposure, runtime enforcement, production claims, or deployed security controls.