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

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.


Speaker

Bishwajeet Paul

Architect, Platform Engineering @JPMorgan Chase - Specializing in Solving Complex Challenges for the Developer Community

A Principal Engineer at JPMorgan Chase, he specializes in solving complex challenges for the developer community by delivering robust toolchains, CI/CD pipelines, and end-to-end observability solutions. His current focus is pioneering the transition to, architecting the use of, and to create software delivery systems. This ensures not only intelligent optimization through capabilities like and, but also the enforcement of airtight compliance via, auditable workflows, setting a new standard for trusted financial software delivery.

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Date

Monday Nov 17 / 01:35PM PST ( 50 minutes )

Location

Seacliff ABC

Video

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