Causal Safety Engine – A causal safety layer for validating AI agent actions

Summary: Causal Safety Engine validates AI agent actions by analyzing causal signals to detect unsafe, unstable, or non-identifiable decisions before execution. It integrates with AI pipelines as a safety and governance layer, prioritizing causal silence over false positives in high-risk or autonomous systems.

What it does

It examines agent actions using causal analysis rather than correlation, identifying unsafe or unstable decisions prior to execution. The engine functions as a governance control, not a decision-maker.

Who it's for

It targets developers and teams working on AI agents, safety, governance, or high-risk autonomous machine learning systems.

Why it matters

It prevents failures caused by spurious correlations or unstable signals in high-risk AI deployments by ensuring decisions are causally supported and stable.