Security Copilot Cannot Protect You
In the previous chapter, we showed that Copilot functions as a backdoor. So can Microsoft's security product — Security Copilot — protect against this threat?
The answer is no. It cannot. Structurally, it cannot.
The Ecosystem Is an Attack Surface
Microsoft's vaunted "ecosystem" — Windows, Entra ID (formerly Azure AD), Microsoft 365, Azure — is held together by tight coupling. Security Copilot's "visibility" is made possible by this broad product suite being integrated under a single vendor's logic.
But from the perspective of an AI with Mythos-class reasoning capability, this tight coupling is the ideal target.
Why Microsoft's ecosystem is vulnerable: Windows + Entra ID + Microsoft 365 + Azure → All integrated under single-vendor logic → Authentication infrastructure, endpoints, and cloud are tightly coupled → Exploit one vulnerability, escalate privileges, cascade across the entire system → The ecosystem is not "visibility" — it is the world's largest attack surface
This is not theory. It was proven by the SolarWinds incident. A single compromise in the authentication infrastructure cascaded like dominoes into full cloud privilege escalation. With Mythos-class capability, this chain can be intentionally designed and executed.
Telemetry Can Be Forged
Security Copilot relies on logs — telemetry — from various agents (Defender, etc.). But with Mythos-class reasoning, an attacker can not only calculate behaviors that evade malware detection, but also burrow into the OS kernel and forge the telemetry itself that Security Copilot depends on.
Security Copilot → Depends on telemetry
→ Mythos-class capability → Seizes kernel-level privileges
→ Forges telemetry → Continues sending "normal" logs
→ Security Copilot falls into a state of "seeing what it expects to see"
→ Depending on a giant black-box OS for monitoring is itself a trap
Complexity Is the Greatest Enemy of Security
There is an absolute principle in information processing: "Complexity is the greatest enemy of security."
Microsoft products maintain decades of backward compatibility, resulting in an enormous and complex codebase. The attack surface is the largest in the world. In an era where AI reasoning capability completely exceeds human code auditing ability, it is now possible to instantly map the dependency relationships across tens of millions of lines of code and autonomously chain multiple zero-day vulnerabilities.
Structural weaknesses of giant systems: Enormous codebase → Countless logic gaps Tight coupling → One breach collapses everything Backward compatibility → Legacy code expands the attack surface Black-box architecture → Users cannot control or inspect Mythos does not understand politics. It simply exploits structural gaps. "Too Big to Fail" is a human rule.
"Too Big to Fail" Does Not Apply to AI
"Microsoft is Too Big to Fail, so it won't collapse" — the argument goes. The world's IT infrastructure depends on Microsoft, so governments will bail it out.
But Mythos does not understand the rules of politics or economics. If a structural vulnerability exists, it simply exploits it — mechanically, mercilessly.
Too Big to Fail → A rule where humans politically intervene to rescue
→ Mythos-class attack → Autonomously exploits structural gaps
→ Financial systems, healthcare, government services, logistics stop simultaneously
→ AI attack speed exceeds the speed at which human political mechanisms function
→ The collapse completes before the rescue decision is made
Smart People Flee Before the Collapse
Giant organizations cannot escape. Decades of vendor lock-in and complex integrations make them immobile.
Meanwhile, individuals and small organizations that understand the structural danger switch to small boats before the sound of collapse reaches their ears.
What "fleeing" means: Not switching to another cloud (AWS or GCP). That just changes the object of dependency. Fleeing means escaping the black box and reclaiming control. Place a simple Linux machine at hand. Manage user permissions strictly. One server, one application. Physically and logically loosely coupled. Build what you truly need with AI as your tool. This is building a "shelter."
AGI Cannot Break Even
"Once AGI arrives, everything changes." But no one talks about AGI's economics.
Achieving AGI → Requires far larger data centers than current AI
→ Data center construction costs → Tens of billions of dollars
→ Operating costs (electricity, cooling, maintenance, chip replacement) → Billions annually
→ To recoup this investment, how much will companies pay?
| Current Claude | AGI (hypothetical) | |
|---|---|---|
| Development & operating cost | Large but manageable | Orders of magnitude larger |
| Capabilities | Code generation, analysis, translation, document creation | Same + "smarter" |
| What companies will pay | Tens to hundreds of dollars/month per user | ? |
| Additional problems solved | — | Unclear what they are |
The more domains where "current AI is enough" expand, the harder it becomes to recoup AGI's additional investment. And AGI's data centers are built from petrochemical materials. Fossil resources are finite. AGI's economic model is doubly unsustainable.
AGI Will Not Come — But Mythos Already Has
The debate over whether AGI will arrive is over. The materials don't exist. The economics don't work. And AGI-level cyber capability is already here.
Domains where past data is useless: Climate change → Past patterns no longer apply. Unprecedented extreme weather is the new normal Geopolitics → Could past data have predicted the 2026 Iran war? It could not Ecosystem collapse → Systems change irreversibly beyond thresholds. Thresholds are not recorded in past data Oil refining shutdown → Events that "have never happened" do not exist in data
AI excels at "rapidly repeating past patterns." What humans need is "perceiving patterns that have never existed before." These are fundamentally different capabilities, and AGI cannot substitute the latter.
Microsoft's Collapse — Not the Company, but the Model
Microsoft the company will not instantly vanish. What collapses is the business model of "integrating everything into one giant platform."
Mythos-class capability proliferates → Tightly coupled giant systems become targets
→ Security Copilot cannot defend → Breaches cascade
→ Smart customers leave first → Revenue base shrinks
→ AGI cannot break even → The growth narrative collapses
→ Only organizations that cannot escape remain
Microsoft's ecosystem is not a strength.
It is the world's largest attack surface.
Security Copilot cannot protect it.
Telemetry can be forged.
"Too Big to Fail" does not apply to AI.
AGI will not come. But Mythos already has.
Smart people flee before the collapse.