What Is Security in the Mythos Era?
In Chapter 5 "Mythos Has Arrived," we showed that the economics of cyberattacks collapsed with the emergence of Mythos-class AI. In Chapter 6 "Microsoft's Collapse," we showed that tightly coupled giant ecosystems become the most vulnerable targets.
So how do you defend in the Mythos era?
The answer is simple. Make the attack surface zero.
Security principles for the Mythos era:
- Use AI for development. Never embed AI in production
- No CMS, no database, no API in the production environment
- Serve only static HTML
- One server, one application, loosely coupled
- Eliminate black boxes No matter how intelligent the attacker, if there is no entry point, there is no intrusion.
This Site Is the Proof
aiseed.dev is a site that implements these principles.
Development → Claude Code (AI generates all code)
Build → Python + Jinja2 + markdown-it-py (runs locally)
Production → Static HTML + CSS + image files only
Server → Nginx (static file serving only)
AI → Zero in production
CMS → None
Database → None
API → None
| Element | WordPress (43% of the web) | aiseed.dev |
|---|---|---|
| CMS | Yes (attack surface) | None |
| Database | MySQL (SQL injection) | None |
| PHP | Yes (remote code execution) | None |
| Plugins | Many (unknown vulnerabilities) | None |
| Admin panel | Yes (authentication bypass target) | None |
| AI/Copilot | Can be added via plugins (backdoor) | None |
| Attack surface | Enormous | Zero |
Even if Mythos-class AI arrives, static HTML has no entry point. There is no database for SQL injection. There is no server-side script for remote code execution. There is no internal network for lateral movement.
If the attack surface is zero, attack capability is irrelevant.
"Using AI for Development" vs. "Embedding AI"
This is the most critical distinction.
Claude Code generates code → Human reviews → Build → Serve static HTML
AI exists only in the development process
No AI code runs in production
Use AI as a tool. Never embed AI in the deliverable.
Copilot → Resident in the editor → Sends codebase to external servers (Ch. 5)
AI plugins → Integrated into CMS → Data leaks via external APIs
Security Copilot → Depends on telemetry → Telemetry can be forged (Ch. 6)
The moment AI is embedded in production, the attack surface explodes.
Organizations that do not understand this distinction will be the first to collapse in the Mythos era.
Not a Single Line of Human-Written Code
This site was built entirely with Claude Code.
HTML, CSS, JavaScript, Python, Markdown — all generated by Claude. The human's role was deciding what to build and giving Claude instructions.
| Item | Value |
|---|---|
| Total lines (code + content) | 30,000+ |
| HTML pages | 42 |
| Articles | 26 (13 Japanese + 13 English) |
| Development time | ~24 hours |
| Git commits | 104 |
| Human-written code | 0 lines |
The human's role: Decided the structural analysis themes (fossil resources, agriculture, AI, NVIDIA, enterprise IT taxes…) Gave Claude direction ("add cloud tax," "put Epstein last") Read the output and gave corrections ("change wording," "remove fade-in") Deployed the site Zero code written.
If This Were Outsourced to an SIer
Estimated cost if outsourced: Requirements gathering → Hundreds of thousands of yen Design → Hundreds of thousands of yen Coding (42 pages + build tool) → Millions of yen Localization (26 articles in JP + EN) → Millions of yen SEO (OGP, sitemap, CSP, etc.) → Hundreds of thousands of yen Testing & deployment → Hundreds of thousands of yen Total: ¥5–10 million. Timeline: 2–3 months. With Claude: 24 hours. Cost: near zero.
The "Taxes" That Disappeared
The structure described in Chapter 8 "Eliminating Enterprise IT Taxes" is proven by this very site.
SIer tax → Zero outsourcing. Claude wrote all the code
Microsoft tax → No Windows. Linux + Claude
Cloud tax → No AWS, no Azure
SaaS tax → No WordPress. No CMS. Markdown and a build tool
Consultant tax → "What to build" was decided through dialogue with Claude
The only cost was Claude's monthly subscription.
The Build System — A Toolchain Built by Claude Itself
Write articles in Markdown (with custom syntax extensions)
→ build_article.py parses the Markdown
→ Custom blocks (:::chain, :::highlight, etc.) converted to HTML
→ markdown-it-py (CommonMark compliant) converts the rest
→ Injected into Jinja2 templates
→ SEO tags (OGP, canonical, hreflang) auto-generated
→ sitemap.xml, robots.txt auto-generated
→ All 42 pages built in one pass
Claude designed and implemented this entire pipeline
The Structural Conclusion
All 15 chapters of the structural analysis converge on a single conclusion.
Fossil resources are depleting (Ch. 1–4)
→ Mythos-class AI has arrived. Tightly coupled giant systems will collapse (Ch. 5–6)
→ Giant organizations cannot escape (Ch. 7–8)
→ Individuals + AI change the structure (Ch. 9–12)
→ Redesign by subtraction (Ch. 13–14)
→ Proof: develop with AI, build products with zero attack surface (Ch. 15)
All source code is published on GitHub. Licensed under CC BY 4.0. Anyone can use it. Look at the structure, and you will see how to design for the Mythos era.
What AI users need is not GPUs — it is intelligence.
A human who decides what to build, and an AI that implements it.
This combination turns millions in "taxes" into zero in 24 hours.
And makes the attack surface zero.