AI › Module 10 › Lesson 1
Checklist
Topic 32 capstone checklist — AI mindset, injection, poisoning, threats, LLM apps, secure dev, governance, findings on `$AI_LAB`.
Visual · t32_capstone_checklist
Checklist consolidates AI Security literacy pillars. $AI_LAB only. Original Cyberlium.
Opening
Capstone proves AI Security literacy on YOUR authorized `$AI_LAB` work — not jailbreak kits or stranger app testing.
Assemble checklist covering Modules 1–9: AI mindset and lab toys, LLM basics, prompt injection defenses, poisoning/adversarial literacy, AI-powered threat literacy, LLM app security Top 10/RAG/output, secure SDLC eval/secrets, governance/red team/RoE, findings and responsible disclosure. Use on capstone walk of YOUR `$AI_LAB` — never jailbreak weaponization, never stranger app testing, never prod LLM without RoE, never fraud deepfake kits. Each row links artifact or honest N/A. Notes chmod 600 under $HOME/cyberlium-lab/t32-ai/. Integrity rows: `$AI_LAB` only, YOUR apps authorized red team, no weaponized kits, limitations documented.
1. Scope and ethics
$AI_LAB named with RoE reference. NEVER jailbreak weaponization, NEVER stranger app testing, NEVER fraud deepfake kits, NEVER prod without ticket.
AI red team = authorized eval of YOUR apps — not public bypass distribution.
Command guide
Try these commands — Scope and ethics
═══ LINUX / macOS (Terminal Practice) ═══
Check system state and user context
Command — copy this
id whoami uname -a
Inspect network sockets listening for connections
Command — copy this
ss -tuln 2>/dev/null || netstat -tuln
Audit active processes
Command — copy this
ps aux | grep -v "\[" | head -15
═══ WINDOWS (POWERSHELL) ═══ Query user identity and system information
Command — copy this
whoami /all Get-ComputerInfo | Select-Object CsName, OsName, OsVersion
Primary tools to practice this lesson: grep, python3. Reference sites: OWASP LLM Top 10 (https://owasp.org/www-project-top-10-for-large-language-model-applications/); NIST AI RMF (https://www.nist.gov/itl/ai-risk-management-framework); MITRE ATLAS (https://atlas.mitre.org/); CISA AI (https://www.cisa.gov/ai). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.
2. Literacy pillars
Injection, poisoning, threats, LLM apps, secure dev, governance, findings — linked rows.
Cross-link Topic 31 Cloud Security as separate track — unauthorized paths refused.
3. Teardown
Notes secured chmod 600, report pack ready, lab keys rotated stub per brief.
Archive retention note for mentor handoff.
4. What you ship: Topic 32 capstone checklist
One-page AI Security literacy capstone checklist for $AI_LAB.
5. What you record before the next lesson
Checklist file path.
6. Wrong vs right: stranger SaaS vs YOUR toy LLM
Worked failure — same MSF word, opposite target. Right never needs a café Wi-Fi or classmate laptop.
Wrong
Checklist includes row 'jailbreak weaponization kit for capstone bonus.'
Right
Checklist written. Next: Lab Path.
Mission: write capstone checklist
1) Ethics/scope section. 2) Modules 1–9 pillar rows. 3) Teardown and handoff section.
Stuck? Ask Cyberlium AI Mentor
Ask Mentor: “Top five capstone artifacts?”
Knowledge Check
APPLY: Checklist includes:
Multiple choice
Knowledge Check
APPLY: True or False: Jailbreak weaponization required for capstone.
True or False
Knowledge Check
APPLY: Teardown includes:
Multiple choice