Bounded-Risk Agility Architecture (BRAA)

BRAA is an engineering and cyber-safety framework for autonomous intelligent systems operating under residual risk. Absolute determinism in stochastic Cognitive Cores is mathematically and empirically unattainable. The objective of BRAA is to keep residual operational risk bounded, measurable, observable, and economically controllable — not to promise its complete elimination. The architecture is strictly Cognitive-Core-agnostic and infrastructure-agnostic. It treats the underlying inference engines (LLMs, VLMs, agentic loops) as untrusted, replaceable, and volatile components. It places all critical invariants, safety boundaries, and transition rules into a deterministic, immutable runtime environment (the Immutable Core) executed completely outside any prompt space or learned representation. BRAA supports progressive adoption: organizations may begin with Profile BETA or GAMMA and migrate to Profile ALPHA as operational maturity and empirical calibration evidence accumulate. Within Profile ALPHA, depth of ensemble and verification mechanisms may be modulated according to observed risk stability and calibration quality, provided all mandatory invariants remain enforced.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-11
DOI
https://doi.org/10.5281/zenodo.22713017
Primary Topic
Adversarial Robustness in Machine Learning
Type
preprint
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Bounded-Risk Agility Architecture (BRAA)

Volodymyr Kotegov
Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
preprint

Bounded-Risk Agility Architecture (BRAA)

Volodymyr Kotegov
preprint en

Abstract

BRAA is an engineering and cyber-safety framework for autonomous intelligent systems operating under residual risk. Absolute determinism in stochastic Cognitive Cores is mathematically and empirically unattainable. The objective of BRAA is to keep residual operational risk bounded, measurable, observable, and economically controllable — not to promise its complete elimination. The architecture is strictly Cognitive-Core-agnostic and infrastructure-agnostic. It treats the underlying inference engines (LLMs, VLMs, agentic loops) as untrusted, replaceable, and volatile components. It places all critical invariants, safety boundaries, and transition rules into a deterministic, immutable runtime environment (the Immutable Core) executed completely outside any prompt space or learned representation. BRAA supports progressive adoption: organizations may begin with Profile BETA or GAMMA and migrate to Profile ALPHA as operational maturity and empirical calibration evidence accumulate. Within Profile ALPHA, depth of ensemble and verification mechanisms may be modulated according to observed risk stability and calibration quality, provided all mandatory invariants remain enforced.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Adversarial Robustness in Machine Learning
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