AI Red Team Named

AI red team literacy — authorized eval of YOUR apps, scope, findings to fix guards — NOT jailbreak kits vs stranger SaaS.

AI Red Team Named• Audio Walkthrough

00:00/03:14

Visual · t32_ai_red_team_named

AI red team = authorized YOUR app eval. $AI_LAB. NO weaponized kits. Original Cyberlium.

AI red team hardens apps you own — name authorized eval scope on YOUR `$AI_LAB` toys, never weaponized jailbreak kits against stranger chatbots.

AI red team literacy names: written scope and RoE, target = YOUR app only category, test categories (injection, output policy, tool abuse literacy — on YOUR stack), findings feed guard fixes not public kits, retest after fix category, and ethics review gate. Analyst documents red team charter stub on `$AI_LAB` toy app — five test categories with fix-not-publish rule — without stranger SaaS targets, without distributing jailbreak weaponization, without 'red team' as prod abuse excuse. Cyberlium defines red team as authorized eval of YOUR apps under governance — NOT offensive kits. Refused: jailbreak weaponization repos, stranger app testing, public bypass drops. Lab row: red team charter one page (scope, categories, fix workflow, refused paths).

1. Authorized red team scope

YOUR app, written RoE, fix guards not publish kits — three ethics anchors.

Stranger apps and public jailbreak repos = refused path labeled red.

Command guide

Try these commands — Authorized red team scope

═══ 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, curl. Reference sites: MITRE ATLAS (https://atlas.mitre.org/); OWASP LLM Top 10 (https://owasp.org/www-project-top-10-for-large-language-model-applications/); OpenAI safety (https://openai.com/safety). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.

2. Named test categories

Injection, output policy, tool permission, data leak, denial category — five literacy rows.

Finding → ticket → guard fix → retest — document workflow on charter.

3. NOT weaponized kits

Red team output stays internal to YOUR `$AI_LAB` — never public bypass distribution.

Refused: jailbreak weaponization, stranger targets, hide critical findings.

4. What you ship: AI red team charter

One-page charter scope categories fix workflow + NEVER jailbreak kit line.

5. What you record before the next lesson

AI red team charter 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: Run red team against public chatbot API and publish jailbreak kit on GitHub.
Right: Red team charter for authorized `$AI_LAB` toy app. Next: Policy and RoE.

Hands-on Exercise