Secure Software Supply Chain: Risk Prediction at the Speed of Development

QCon San Francisco 2025

Session AI/ML

Secure Software Supply Chain: Risk Prediction at the Speed of Development

Monday Nov 17 / 01:35PM PST, Seacliff ABC at Hyatt Regency, San Francisco

Abstract

The Platform That Sees Risk Before Code Does

Secure Software Supply Chain reimagines DevSecOps by shifting from reactive tollgates to predictive intelligence. Powered by weighted ensemble ML models trained on your entire development lifecycle—from JIRA requirements to production incidents—it generates real-time risk scores (1-100) at every stage. But prediction is just the beginning. Integrated generative AI automatically remediates vulnerabilities, enhances requirements, and patches dependencies within seconds. Built for regulated fintech environments, it delivers explainable decisions through SHAP analysis, ensuring compliance auditors see exactly why code was flagged. The result: security that doesn't slow you down—it accelerates innovation by catching risks invisible to traditional scanning.

Topics

AI/ML Architecture Platform Engineering Observability
76% senior dev or higher
1:11 speaker ratio
60+ practitioners

QCon San Francisco 2025 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.

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