How Drift Stack™ Protects Against Rogue AI
Mythos-class threats don’t break rules. They expose where systems never enforced them at execution.
Recommended Architecture Path
Drift Architecture
This page is a focused architecture deep dive showing how Drift Stack™ constrains high-capability or adversarial execution scenarios without breaking the broader architecture path.
This sequence is cumulative. Each layer builds on the one before it.
1) Hard Execution Boundary
Mythos Failure Mode: Exploit chain reaches execution path.
Normal Failure: No single authority evaluates full outcome.
Drift Stack Check: ✅
Execution is blocked unless admissibility is satisfied at the boundary.
✔ Result: Nothing executes without global validation
2) Identity & Scope Control
Mythos Failure Mode: Privilege escalation across systems.
Normal Failure: Authority leaks across identities.
Drift Stack Check: ✅
Authority is bounded by context and cannot be inherited.
✔ Result: Capability does not grant execution rights
3) Capability Isolation
Mythos Failure Mode: Lateral movement across systems.
Normal Failure: Local access expands into global execution.
Drift Stack Check: ✅
Each action is re-evaluated independently before execution.
✔ Result: No uncontrolled expansion across domains
4) Irreversible Action Gating
Mythos Failure Mode: High-impact action commits instantly.
Normal Failure: Same rules applied to reversible and irreversible actions.
Drift Stack Check: ✅
Commitment boundary enforces stricter admissibility thresholds.
✔ Result: Irreversible actions require higher certainty
5) Invariant-Based Admissibility
Mythos Failure Mode: Locally valid steps produce unsafe outcomes.
Normal Failure: Validation occurs step-by-step, not outcome-level.
Drift Stack Check: ✅
Execution is evaluated against system invariants, not isolated logic.
✔ Result: Valid does not equal admissible
6) Continuous Verification
Mythos Failure Mode: Drift accumulates across steps.
Normal Failure: Trust is carried forward.
Drift Stack Check: ✅
Each transition is re-evaluated before execution.
✔ Result: No accumulated drift
7) Provenance Tracking
Mythos Failure Mode: Action origin becomes unclear.
Normal Failure: No traceable decision path.
Drift Stack Check: ✅
All actions maintain traceable lineage.
✔ Result: No untraceable execution
8) Propagation Constraint
Mythos Failure Mode: Machine-speed spread of execution.
Normal Failure: Detection happens after propagation.
Drift Stack Check: ✅
Execution is gated, preventing uncontrolled propagation.
✔ Result: Failure cannot scale
9) Commitment Boundary Control
Mythos Failure Mode: Irreversible action commits.
Normal Failure: No distinction between reversible and irreversible.
Drift Stack Check: ✅
Irreversible execution requires highest admissibility enforcement.
✔ Result: Point-of-no-return is controlled
FINAL PRINCIPLE
The model can be compromised.
The system does not have to be.
THE ONLY QUESTION THAT MATTERS
DOES YOUR ARCHITECTURE CONFORM?
If your system can take action, write state, trigger workflows, or influence irreversible outcomes, the real question is not whether it sounds safe. It is whether its architecture conforms before execution authority is trusted.
Conformance Evaluation →