CIO
OCTOBER 31, 2023
As a practice, DevSecOps is a way to engrain practices in your SDLC that ensures security becomes a shared responsibility throughout the IT lifecycle. Ideally, ensuring these compliance checklists trigger a failure close to the beginning of the SDLC ensures you don’t get to the end and realize you’re not compliant.
Synopsys
AUGUST 6, 2020
The findings reaffirm the importance of shifting security left in the development process, enabling development teams with ongoing training as well as tooling solutions that complement their current processes so they can code securely without negatively impacting their velocity.
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Tenable
MAY 12, 2022
Learn how your organization can boost security efforts by eliminating the disconnect between Security and DevOps teams. Establishing a strong security culture that bridges the gap between DevOps and security is one of the greatest challenges that CISOs and other security leaders face. How can CISOs overcome this disconnect?
Perficient
APRIL 12, 2023
Attention Chief Digital Officers, you are acutely aware of the challenges posed by the rapidly evolving landscape of cloud and digital technologies on the Software Development Life Cycle (SDLC). However, with the complexity of the SDLC on the rise, traditional QA approaches are no longer enough.
Security Innovation
DECEMBER 29, 2021
For the past 18 months, I've had the pleasure of hosting dozens of technology and cybersecurity experts on Ed TALKS , a moderated discussion about today's security strategies. This Ed TALK featured executives from the three principal stakeholders of product security - product management, engineering, and security.
Openxcell
JANUARY 19, 2022
To improve security at every stage of the software development lifecycle, engineering teams must build it in from the start (SDLC). Simply said, DevSecOps is a DevOps extension with a clear focus on security. What is the difference between DevOps vs. DevSecOps. Knowledge of various DevOps tools and technologies.
DataRobot
JULY 27, 2021
Algorithmia automates machine learning deployment, provides maximum tooling flexibility, optimizes collaboration between operations and development, and leverages existing software development lifecycle (SDLC) and continuous integration/continuous development (CI/CD) practices. A New Dimension to the DataRobot Story.
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