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NIST Cybersecurity

Software Supply Chain and DevOps Security Practices

Sagittal AI is collaborating with the National Cybersecurity Center of Excellence (NCCoE) in Software Supply Chain and DevOps Security Practices to develop and implement a risk-based approach to DevOps security. NIST does not evaluate commercial products under this Consortium and does not endorse any product or service used. Additional information on this Consortium can be found at: NIST Software Supply Chain and DevOps Security Practices.

This project is intended to help enable organizations to maintain the velocity and volume of software delivery in a cloud-native way and take advantage of automated tools

The NCCoE intends to demonstrate DevSecOps practices that would apply to organizations of all sizes and from all sectors, and to development for information technology (IT), operational technology (OT), Internet of Things (IoT), and other technology types.

Project Abstract

To help improve the security of DevOps practices, the NCCoE is planning a DevSecOps project that will focus initially on developing and documenting an applied risk-based approach and recommendations for secure DevOps and software supply chain practices consistent with the Secure Software Development Framework (SSDF), Cybersecurity Supply Chain Risk Management (C-SCRM), and other NIST, government, and industry guidance. DevSecOps helps ensure that security is addressed as part of all DevOps practices by integrating security practices and automatically generating security and compliance artifacts throughout the process, including software development, builds, packaging, distribution, and deployment.

This project will apply these DevSecOps practices in proof-of-concept use case scenarios that will each be specific to a technology, programming language, and industry sector. Both commercial and open source technology will be used to demonstrate the use cases. Also, as part of this project, NIST will bring together and normalize content on DevSecOps practices from existing guidance and practices publications.

This project will result in a freely available NIST Cybersecurity Practice Guide.

What We Demonstrated

As part of Build 1 of the four-build project, Sagittal Neo was integrated into a live DevSecOps pipeline alongside Azure DevOps and Black Duck's security toolchain - including Polaris for static application security testing (SAST), SRM for secrets detection, and software composition analysis (SCA).

When those tools surfaced a security finding, it was automatically raised as an Azure DevOps work item and assigned to Neo. Neo analyzed the issue, wrote the fix, opened a pull request, and provided full commentary — without a developer needing to pick up the ticket.

The result: from CVE to a pull request within minutes, not the 30–60 days that security remediation typically takes.

Beyond Security

The NIST demonstration represents one integration in one domain. Neo can be assigned work by any tool in the development pipeline and can automate across the entire software development lifecycle - from planning and design through build, test, and release. Security remediation is just where the impact of autonomous resolution is most visible.

What Our Partners Say

"Neo helps with resilience in a way that's different from any other tool. It automates scanning, fixing, and reporting for your entire SDLC; it can help above and beyond what anyone would expect."

— Former NIST Chief

"Neo avoids the security issues other AI solutions fall into. We control its access centrally, no one has to install anything and it doesn't act on behalf of our users with their credentials, all of Neo's actions are traceable."

— José Parada, CISO

AI in DevSecOps: Beyond Code Autocompletion

In the following video from the NIST NCCoE Secure Software Development (DevSecOps) Virtual Event, Michael Smith explains how adding AI to DevSecOps is more than just AI autocompletion of code.