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Causal Safety Engine

Causal Safety Engine

A causal safety layer for validating AI agent actions

3 followers

Causal Safety Engine is a safety-first validation layer for AI agents. It analyzes agent actions using causal signals (not just correlations) to detect unsafe, non-identifiable, or unstable decisions before execution. Designed for high-risk and autonomous systems, it favors “causal silence” over false positives and integrates with existing AI pipelines as a governance and safety control.
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Free
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Framer
Framer
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What do you think? …

Emiliano Muharremi
Hi Product Hunt 👋 I built Causal Safety Engine after repeatedly seeing AI agents make decisions that were statistically confident but causally unsafe. Most systems validate actions using correlation-based signals. This works until you deploy agents in high-risk or autonomous settings, where spurious correlations, leakage, or unstable signals can silently cause failures. Causal Safety Engine is designed as a safety and governance layer, not a decision-maker: it checks whether an action is causally supported, stable, and identifiable — and prefers causal silence over false positives. I’m especially interested in feedback from people working on AI agents, safety, governance, or high-risk ML systems.