A distributed AI network that learns from real-world exploitation patterns to create and deploy customized patches dynamically within local systems. APE patches are verified through local consensus mechanisms before full implementation preventing wide-scale impact from faulty patch design. Allows for individual vulnerability risk management strategies rather than centralized mandates.