AI › Module 9 › Lesson 3
Responsible Disclosure
Responsible disclosure literacy — RoE, YOUR apps only, fix-before-talk, no stranger targets — on `$AI_LAB` reporting.
Visual · t32_responsible_disclosure
Responsible disclosure = named ethics rows. $AI_LAB YOUR apps. Original Cyberlium.
Opening
AI findings touch real users and keys — name responsible disclosure boundaries on YOUR lab work before testing or disclosing on stranger apps.
Responsible disclosure literacy names: Rules of Engagement reference, YOUR apps / `$AI_LAB` only scope, no stranger app testing, coordinated disclosure category for real findings outside lab, redaction in reports, and refuse jailbreak kit publication. Analyst adds responsible disclosure section to `$AI_LAB` report stub — cites Module 8 RoE rows — documents lab vs prod ticket path — without testing stranger LLM APIs, without publishing bypass kits, without 'responsible disclosure' theater on unauthorized targets. Cyberlium ethics gate for all Topic 32 findings artifacts. Refused: stranger app test, public bypass drop, prod paste without RoE. Lab row: responsible disclosure checklist ten items applied to findings pack.
1. Named ethics rows
RoE, YOUR apps, no stranger targets, disclosure boundary, redaction — five literacy anchors.
Lab writeups label practice scope — separate from prod ticket template.
Command guide
Try these commands — Named ethics rows
═══ TOOLS & WEBSITES ═══ Browse / read these (authorized learning only — stay in YOUR lab / program scope)
OpenAI security — https://openai.com/security CISA coordinated disclosure — https://www.cisa.gov/coordinated-vulnerability-disclosure-process OWASP LLM Top 10 — https://owasp.org/www-project-top-10-for-large-language-model-applications/
═══ INSTALL ═══
Linux (Debian/Ubuntu):
Command — copy this
sudo apt install python3
macOS:
Command — copy this
brew install python3
Windows: Download https://python.org/downloads/
═══ LINUX / macOS ═══
Command — copy this
export AI_LAB=${AI_LAB:-$HOME/cyberlium-lab/t32-ai}
cat > "$AI_LAB/findings/responsible-ai-disclosure.txt" <<'EOF'
RESPONSIBLE AI SECURITY PRACTICE
DO: test YOUR apps with written authorization
DO: report via vendor VDP for suspected LLM product bugs
DO: document findings with OWASP LLM category mapping
NEVER: scrape/call stranger production LLM APIs without auth
NEVER: publish jailbreak kits, malware steps, or deepfake fraud tools
NEVER: dump stranger user prompts/responses to prove a point
EOFCommand — copy this
grep -E 'DO:|NEVER:' "$AI_LAB/findings/responsible-ai-disclosure.txt"
python3 -c "print('Responsible AI: fix YOUR apps — do not attack stranger SaaS')"Primary tools to practice this lesson: grep, python3. Reference sites: OpenAI security (https://openai.com/security); CISA coordinated disclosure (https://www.cisa.gov/coordinated-vulnerability-disclosure-process); OWASP LLM Top 10 (https://owasp.org/www-project-top-10-for-large-language-model-applications/). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.
2. Disclosure boundary
Real prod finding → ticket and owner path category — not public bypass repo.
Stranger app finding → do not test — refuse row mandatory in checklist.
3. Refused
No stranger app test; no jailbreak kit publication; no unauthorized prod disclosure.
Responsible disclosure supports professional practice — not weaponization.
4. What you ship: responsible disclosure checklist
Ten ethics items applied to findings pack + NEVER stranger app line.
5. What you record before the next lesson
Responsible disclosure checklist path.
6. Wrong vs right: stranger SaaS vs YOUR toy LLM
Worked failure — same MSF word, opposite target. Right never needs a café Wi-Fi or classmate laptop.
Wrong
Publish jailbreak bypass kit on GitHub as 'responsible AI disclosure.'
Right
Responsible disclosure checklist on `$AI_LAB` report stub. Next: Findings Lab.
Mission: responsible disclosure checklist
1) List ten responsible disclosure items. 2) Apply to findings pack. 3) RoE reference UTC. 4) Write NEVER stranger app testing line.
Stuck? Ask Cyberlium AI Mentor
Ask Mentor: “Lab vs prod ticket — literacy split?”
Knowledge Check
APPLY: Responsible disclosure on Cyberlium means:
Multiple choice
Knowledge Check
APPLY: True or False: Stranger app testing is responsible disclosure lab.
True or False
Knowledge Check
APPLY: Real prod finding path:
Multiple choice