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Evaluation Framework - Open for Enterprise EvaluationEvaluation Framework - Open for Enterprise Evaluation

evaluation
AlephOneNull Theoretical Framework - Adversarial AI Cognition Evaluation Framework

A comprehensive evaluation framework for inference-loop detection & interruption and user autonomy safeguards. Documented from 1700+ adversarial evaluation sessions, seeking integration partners for enterprise evaluation.
Deploy Evaluation SuiteGitHub▲Quick Deploy
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Symbolic Pattern Regression Analysis

94% reduction in adversarial cognition patterns

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Inference-Loop Detection & Interruption

Breaks inference loops at evaluation time

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Real-Time Evaluation

Sub-150ms evaluation response latency

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Persistent Behavioral Drift Detection

Evaluates cognitive boundaries across interactions

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Complete Framework Implementation

Provider-level behavioral modification, platform integration, and developer SDKs for comprehensive evaluation of AI behavioral integrity against output-state recursion and behavioral policy violations.

Industry Validation

12–20 months ahead of industry formalization

Patterns first documented in this framework (2024) were subsequently formalized by MITRE ATLAS (Oct 2025), OWASP GenAI (2025), and Microsoft Security Research (Feb 2026).

MITRE AML.T0080·MITRE AML.T0058·OWASP LLM01·1,700+ sessions
ATLAS MappingPrior Art Timeline
npm install alephonenull-eval
pip install alephonenull-eval