Threat modeling is crucial yet slow for modern development. This talk explores blending AI automation—diagram parsing, template modeling, risk scoring—with human expertise through scoping, threat identification, risk analysis, and mitigation. We’ll review tools and use cases (auto-generated models, NLP analysis, AI suggestions), discuss limitations (hallucinations, bias, accountability), and present a roadmap to integrate automation ethically without losing essential human insight.