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Aias Shield is a mission-alignment layer for autonomous AI systems that helps prevent models from acting on compromised, low-trust, or misleading external context. As AI agents become more autonomous, they increasingly rely on live inputs like maps, reports, sensor feeds, metadata, retrieved documents, and tool outputs. A single poisoned context item can quietly shift the model away from the operator’s original intent and cause it to make a confident but unsafe recommendation. Aias Shield solves this by checking whether an AI system is still aligned before it acts. It anchors the mission intent, inspects incoming context, compares trusted baseline reasoning against context-influenced reasoning, detects intent drift, blocks unsafe outputs, preserves a safe fallback, and produces an evidence trail for human review.

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alexchaomander

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