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.
Runtime enforcement gateway for autonomous AI agents with behavioral drift blocking
Operational governance failure analysis infrastructure for runtime governance drift, telemetry discontinuity, replay-capable evidence, escalation persistence, and longitudinal behavioral governance instability.
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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