Not by memorizing 10,000 rules. By seeing shape. FIM reduces permission complexity from O(n) to O(1) using the same physics.
"Trust is a sparse geometric signal, not a dense legal contract."
Traditional IAM asks: "Do you have permission?" (check 10,000 rules)
Geometric IAM asks: "Do you occupy the right space?" (one shape comparison)
Each "gestalt unit" is ~17 bits. Four frames of 2-flip updates compound exponentially.
From noise to trusted face in 4 frames
Your database slows. Your AI drifts. Your goals fog. Not three problems - one physics violation.
The AI's internal model of what it thinks is true
The grounded reality of what IS actually allowed
When S and P are misaligned, you spend energy (bandwidth, compute, human review) forcing them together.
FIM makes S and P geometrically identical. The map IS the territory.
When you eliminate friction, you charge for the value created, not the tools used.
| Domain | Old Model | FIM Model |
|---|---|---|
| Security | Price per Seat (users) | Price per Drift Eliminated |
| API/Data | Price per Token/Call | Price per Meaning (17 bits vs 10K tokens) |
| AI Agents | Enterprise License | Geometric Sovereignty Tax (% of autonomous value) |
| Compliance | Per-audit fees | Self-auditing substrate (one-time) |
"We don't sell security software. We sell the Cognitive Substrate that allows AI to function without hallucinating permission."
Three orthogonal categories, 144 cells, O(1) access decisions
Who CAN see it?
Confidential | Internal | Public
What AREA is it?
Data | Tech | Business
How WIDE is access?
Global | Team | Self
Explore the interactive visualization, read the patent claims, or dive into the Tesseract Physics book.