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Organisations have spent decades securing their code, their servers, and their supply chains. But the prompt layer — the instructions that govern how AI systems behave — is the new high-value target, and almost nobody is treating it as one. Prompts are stored in databases, passed through APIs, cached in config files. They rarely have access controls, version history, or integrity monitoring. Yet they control the output that employees trust, that clients receive, and that decisions are built on.

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The predictor takes the context encoder’s output, representations of the ~155 visible patches, and must predict what the target encoder produced at the ~37 masked positions. It knows where the gaps are (via positional encodings for both visible and masked positions) but has never seen their content.

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