Apex ThreatArchitectural inferencev1.10.0

Behavioral Extinction for Replicating Adapters

Evidence levelArchitectural inference

Behavioral extinction is evidence that a behavior is no longer expressible across active artifacts, descendants, memory, routes, compositions, and retained training material. For self-replicating adapter ecologies, extinction requires more than deletion.

Minimum review set

A behavioral-extinction review should inspect:

Evidence standard

Extinction cannot be proved absolutely in a complex system. It can be supported by negative evidence across known reservoirs, targeted regression tests, lineage review, and a monitoring period where activation routes are deliberately exercised.

Why this matters

A self-replicating adapter ecology can make a failed behavior look retired while preserving the conditions that regenerate it. If the evaluator still rewards the shortcut, or the synthetic data still contains the pattern, the behavior may return without reusing the original adapter.

Practical statement

The correct post-retirement claim is narrow: “No known active carrier expresses the behavior under the tested routes and reservoirs as of this UTC review.” Anything stronger should be treated as unsupported.