AI 服务暂时不可用，以下为来源正文，待恢复后补全翻译。
What is conformity engineering? conformity engineering (n.) The practice of designing, building, and operating AI systems so that regulatory conformity is a verifiable property of the system itself — encoded in architecture, enforced in pipelines, and evidenced continuously — rather than assessed retroactively. Why now On August 2, 2026, the core obligations of the EU AI Act become fully applicable, including requirements for high-risk AI systems. Retroactive audits don't scale for systems that ship weekly. Every discipline that hit this wall turned its constraint into engineering: SREReliability became an engineering practice DevSecOpsSecurity shifted left into the pipeline Conformity EngineeringCompliance is next Four principles 01 Shift-left conformity Regulatory requirements enter at design time — risk classification shapes the architecture, not the appendix of an audit report. 02 Conformity as code Policies, controls, and checks are versioned, reviewable, and executable — they run in CI/CD like any other test. 03 Continuous evidence The system generates its own audit trail as it runs. When the regulator asks, the evidence already exists. 04 Provable by construction The architecture makes non-conformant behavior hard to ship: guardrails, human oversight, and logging are structural, not optional. Read the playbook → Conformity engineering in practice: an article-by-article checklist for the EU AI Act deadline. We're writing the playbook Get the definitive guide to conformity engineering when it ships. No spam, no noise. [email protected] You're in. Talk soon. By subscribing you agree to receive updates about Conformity Engineering. If this project changes ownership, your email may be transferred to the new owner so you keep receiving these updates. Unsubscribe anytime.