Evidence-based engineering is a development approach that requires traceable proof for design and security claims, not just a convincing result. The goal is to back up code, tests, and architectural decisions with artifacts such as review notes, test logs, threat models, requirements traces, and source references. In security work, this matters because a system can look correct while still hiding weak assumptions or missing controls.
In cyber security, evidence-based engineering helps prevent circular validation, where the same tool or team both creates work and “proves” it is safe. That risk is especially sharp with AI agents that generate code, tests, and explanations in one workflow. Defenders use this approach to separate generation from verification, require human sign-off, and demand independent checks before release. Attackers may exploit teams that rely on fluent output instead of proof, so insisting on evidence strengthens governance, auditability, and trust.