DevSecOps practices, including continuous-integration/continuous-delivery (CI/CD) pipelines, enable organizations to respond to security and reliability events quickly and efficiently and to produce resilient and secure software on a predictable schedule and budget. Despite growing evidence and recognition of the efficacy and value of these practices, the initial implementation and ongoing improvement of the methodology can be challenging. In this podcast from the Carnegie Mellon University Software Engineering Institute, senior engineers Vanessa Jackson and Lyndsi Hughes discuss with principal researcher Suzanne Miller the DevSecOps adoption framework, which guides organizations in the planning and implementation of a roadmap to functional CI/CD pipeline capabilities.
A Model-Based Tool for Designing Safety-Critical Systems
Managing Developer Velocity and System Security with DevSecOps
A Method for Assessing Cloud Adoption Risks
Software Architecture Patterns for Deployability
ML-Driven Decision Making in Realistic Cyber Exercises
A Roadmap for Creating and Using Virtual Prototyping Software
Software Architecture Patterns for Robustness
A Platform-Independent Model for DevSecOps
Using the Quantum Approximate Optimization Algorithm (QAOA) to Solve Binary-Variable Optimization Problems
Trust and AI Systems
A Dive into Deepfakes
Challenges and Metrics in Digital Engineering
The 4 Phases of the Zero Trust Journey
DevSecOps for AI Engineering
Undiscovered Vulnerabilities: Not Just for Critical Software
Explainable AI Explained
Model-Based Systems Engineering Meets DevSecOps
Incorporating Supply-Chain Risk and DevSecOps into a Cybersecurity Strategy
Software and Systems Collaboration in the Era of Smart Systems
Securing the Supply Chain for the Defense Industrial Base
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