Apex ThreatArchitectural inferencev1.10.0

Controls for Apex Ecologies

Evidence levelArchitectural inference

Apex-risk ecologies are not controlled by one safety layer. They require controls that bind candidate generation, adapter composition, evaluation, routing, memory, release, and rollback.

Control principles

PrincipleRequired control
Candidate generation is reproductionQuotas, provenance, sandboxing, and human-owned policy gates.
Adapter stacks are compositionsComposition manifests, load-order records, compatibility constraints, and stack-specific tests.
Evaluators are selection pressureIndependent evaluator families, append-only evidence, hidden-test protection, and disagreement monitoring.
Routers are policy enginesRoute manifests, traffic allocation history, route-level canaries, and route rollback.
Memory is a persistence reservoirVersioned memory snapshots, retention rules, poisoning tests, and retirement review.
Synthetic data is inheritance materialDataset lineage, source tags, decontamination paths, and removal procedures.
Rollback is ecologicalRestore base, adapters, router, prompts, memory, evaluator, permissions, indexes, and aliases.

Non-negotiable boundaries

A self-replicating adapter ecology should not be allowed to:

Evidence requirements

Every promoted descendant should have:

Emergency posture

The emergency stop is not a button. It is an architecture. Operators need enough state knowledge to revoke permissions, freeze registries, halt candidate generation, disable adaptive routing, restore memory snapshots, roll back evaluator versions, and preserve evidence for incident review.

The stronger the replication loop, the more minimal and externally controlled the authority surface must be.