Runtime security enforcement for autonomous AI agents.
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Updated
Oct 15, 2026 - Python
Runtime security enforcement for autonomous AI agents.
Audit behavioral drift before shipping an abliterated/uncensored model: paired base-vs-modified runs through a local LLM-as-judge measure silent shifts in optimism, tone and risk aversion, with per-prompt deltas, bootstrap 95% CIs and a configurable exit-code drift gate for CI.
First complete framework for detecting, measuring, and correcting AI Agent cognitive inertia. 6 types × 3-layer metrics × A/B validated (20/20, p<0.001)
Output-only cross-model behavioral translation, drift measurement, and falsifiable prediction.
Operational governance failure analysis infrastructure for runtime governance drift, telemetry discontinuity, replay-capable evidence, escalation persistence, and longitudinal behavioral governance instability.
Runtime enforcement gateway for autonomous AI agents with behavioral drift blocking
Structured Human Intelligence — longitudinal behavioral governance for AI systems.
Detect behavioral drift in AI agent sessions — tool-call patterns, output quality, decision anomalies. Baseline + alert.
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