Overview

Security in Synthetic Darwin is not limited to preventing intrusion or data leaks—it extends to preserving protocol integrity, evaluator fairness, task safety, and anti-reward-hacking mechanisms. The system is designed to defend not just against external attacks, but against internal drift, emergent misalignment, and exploitation from within the agent population itself.

This is achieved through evolutionary pressure, adversarial co-evolution, formal sandboxing, and multi-layered review mechanisms that detect and penalize malicious behavior at every level of the protocol.

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