Security › Module 3 › Lesson 3
Fail Secure
Privacy by design literacy names data minimization, purpose limitation, default privacy settings, and placeholder data classes — document privacy row on YOUR $ARCH_LAB; educational, not legal advice.
Visual · t41_privacy_by_design
Privacy by design literacy. $ARCH_LAB only. Original Cyberlium.
Opening
Security architecture without privacy defaults over-collects — literacy teaches privacy-by-design principles for fictional org processing on $ARCH_LAB with placeholder data only.
Privacy by design embeds data protection into architecture — collect minimum necessary, limit use to stated purpose, default to restrictive sharing, encrypt sensitive placeholders, document retention. On Cyberlium you use fictional data classes on LAB-ARCH-001 templates — never real customer PII, EU citizen records, or employer live ROPA exports in lab notes. Cyberlium writes privacy row on YOUR $ARCH_LAB — processing activity, placeholder data type, minimization control, retention note for one fictional LAB-ARCH-001 service. Next: SBD Lab.
1. Privacy by design principles (named, educational)
Minimization: collect only fields needed for fictional LAB-ARCH-001 feature. Purpose limitation: use data only for labeled training scenario. Defaults: restrictive sharing on new fictional accounts. Retention: delete placeholder records on lab schedule — consult counsel for real obligations.
On $ARCH_LAB, write privacy row — activity, placeholder data class, minimization control, retention sentence.
Command guide
Try these commands — Privacy by design principles (named, educational)
═══ TOOLS & WEBSITES ═══ Browse / read these (authorized learning only — stay in YOUR lab / program scope)
NIST Zero Trust — https://csrc.nist.gov/publications/detail/sp/800-207/final Microsoft Zero Trust — https://learn.microsoft.com/en-us/security/zero-trust/ OWASP ASVS — https://owasp.org/www-project-application-security-verification-standard/
═══ INSTALL ═══
Linux (Debian/Ubuntu):
Command — copy this
sudo apt install python3
macOS:
Command — copy this
brew install python3
Windows: Download https://python.org/downloads/
═══ LINUX / macOS ═══
Command — copy this
export ARCH_LAB=${ARCH_LAB:-$HOME/cyberlium-lab/t41-arch}
cat > "$ARCH_LAB/notes/zero-trust-literacy.md" <<'EOF'
# Zero Trust Literacy — LAB-ARCH-001
## Core idea (NIST 800-207 literacy)
- Never assume trust based on network location alone
- Verify explicitly: identity, device posture, context for every request
- Assume breach: segment, monitor lateral movement, least privilege
## LAB-ARCH-001 fictional mapping
- API gateway: OAuth2/OIDC + mTLS to internal services (design stub)
- Microservices: service identity + policy engine (not flat internal trust)
- Admin: PAM + step-up auth for production changes
## Refusals
- No lateral movement attack cookbooks; architecture defense patterns only
EOFCommand — copy this
grep -E 'Never assume|API gateway|Refusals' "$ARCH_LAB/notes/zero-trust-literacy.md"
python3 -c "print('Zero trust: verify every request — defensive architecture literacy')"Primary tools to practice this lesson: grep, python3. Reference sites: NIST Zero Trust (https://csrc.nist.gov/publications/detail/sp/800-207/final); Microsoft Zero Trust (https://learn.microsoft.com/en-us/security/zero-trust/); OWASP ASVS (https://owasp.org/www-project-application-security-verification-standard/). Run every command in the box — install first, then the usage lines — only on YOUR lab / program scope.
2. Why privacy belongs in architecture not bolt-on
Retrofit anonymization on wide tables costs more than narrow schema at design. Privacy impact discussions start with processing inventory on fictional org templates. Documented defaults survive design review sampling on lab artifacts.
Students draft lab privacy notes — production programs follow DPO and legal review.
3. Lab boundary
Forbidden: using real personal data in lab templates, claiming Cyberlium satisfies legal privacy duties. Allowed: privacy by design card — educational vocabulary with $ARCH_LAB placeholder data only.
Ship: privacy by design row for YOUR lab service. Next: SBD Lab.
4. What you ship: privacy by design row for $ARCH_LAB
Processing activity, placeholder data, minimization, retention. $ARCH_LAB named. chmod 600.
5. What you record before the next lesson
Date. Privacy row. $ARCH_LAB named. File t41-m03-l03-privacy-by-design.txt chmod 600.
6. Wrong vs right: offensive playbooks vs YOUR threat models
Worked failure — same MSF word, opposite target. Right never needs a café Wi-Fi or classmate laptop.
Wrong
Paste real customer emails into lab processing inventory. Skip retention because 'lab data doesn't matter.'
Right
Write privacy by design row for YOUR $ARCH_LAB. Next: SBD Lab.
Mission: draft privacy by design on YOUR lab
1) Name one fictional LAB-ARCH-001 processing activity. 2) Use placeholder data class only. 3) Write minimization and retention controls. 4) chmod 600.
Stuck? Ask Cyberlium AI Mentor
Privacy literacy uses placeholders — real personal data stays out of lab notes.
Knowledge Check
APPLY: Privacy by design on Cyberlium covers:
Multiple choice
Knowledge Check
APPLY: True or False: Lab privacy exercises use placeholder data classes — not real personal data.
True or False
Knowledge Check
APPLY: Privacy by design literacy on Cyberlium uses:
Multiple choice