Shift It Right, Too?
July 09, 2019

Brook Schoenfield
IOActive

"Shift Left" has become an ever-present meme amongst DevOps and the security folk concerned about or working with DevOps. To "shift left" means to attend to something as early in development as possible, based on the assumption of left-to-right mapping of development activities.

Whether the activity is design, testing, or even operational activities, timeliness provides benefit. Obviously, the earlier we attend to security fixes, or really, any issues, the better.

Much data has been assembled about the benefits of finding and fixing bugs as early as possible; there should be little controversy about the efficacy of "shifting fixes left." At the heart of "shift left" is preparedness, planning, and appropriate timing of activities, all of which are signs of a mature development process. And, to my mind, these values are part of the DevOps revolution as teams break down artificial role boundaries and convert operational tasks into code.

Secure design's place has been at the "right side" of development, that is, early in the process, before designs are baked and it becomes too late to build security needs as a part of building software. Numerous Secure Development Life cycles (SDL or S-SDLC) and security standards explicitly place tasks like architecture risk assessment (ARA) and threat modeling early during development. This is not new: one of the first standards describing early security requirements is NIST 800-14, published in 1996! Though many organizations still struggle to identify security requirements early enough, there should be little doubt about the need to start designing security early in a development process. Importantly for this discussion, these critical design activities have typically been seen as right-side (early) only, or worse, single, point-in-time activities.

Experience, especially with iterative development approaches, has taught me that seeing design as only right-side (beginning), or worse, a point-in-time task is a mistake, as equally destructive as late-cycle security tests, or worse, identifying security needs after software has been built.

Once we start thinking iteratively, it becomes clear that point-in-time SDL tasks are more likely to gum up the works, to become an impediment because security isn't matching the way that software is built. Often, several development tasks are taking place in parallel. Among these will be:

■ Refine architecture

■ Specify design

■ Draft code

■ Test

■ Release software

■ Ongoing sustainment and operations

The above activities quite often all occur simultaneously. Each activity has particular security responsibilities which are best executed as a part of that portion of the work. Threat models must be refined as architecture is solidified; security requirements must be specified as part of designs; code is best checked for security errors as it's drafted; obviously, security is something that must be proved right along with everything else that's been implemented.

In fact, in my humble experience, allowing threat models to iterate leaves room for security requirements to improve just like the code is expected to improve through iterative development methods like Agile.

We might say, "shift secure design right," in comparison to "shift security left." But that doesn't really capture the spirit of iteration, continuous delivery, or DevOps, to my thinking.

Would it be more precise to say, "continuous security"? Thinking about security as a continuous process fits well with Continuous Integration/Continuous Delivery (CI/CD) and Agile models. Though, perhaps "continuous security" is less meme-worthy?

Let me at least point out the trouble that point-in-time threat models generate, particularly in the context of rapid or continuous development strategies. Too often, point-in-time security requirements that are never adjusted for subsequent learnings and changes result in requirements that have not, cannot, will never be implemented as specified. That's a loss for everyone involved.

If you prefer to say "shift left," then by all means, let secure design tasks "shift right" as well. I think of SDL security tasks as "continuous":

■ Give developers the tools they need to check code for coding mistakes.

■ Threat model throughout structure and design changes.

■ Have penetration testing prove security requirements and assumptions, enabling an organic feedback to revise requirements and assumptions.

Above all else, break down artificial role barriers that slow us down and obscure shared responsibilities.

Brook Schoenfield is Advisory Services Director at IOActive
Share this

Industry News

April 25, 2024

JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.

April 25, 2024

Copado announced the general availability of Test Copilot, the AI-powered test creation assistant.

April 25, 2024

SmartBear has added no-code test automation powered by GenAI to its Zephyr Scale, the solution that delivers scalable, performant test management inside Jira.

April 24, 2024

Opsera announced that two new patents have been issued for its Unified DevOps Platform, now totaling nine patents issued for the cloud-native DevOps Platform.

April 23, 2024

mabl announced the addition of mobile application testing to its platform.

April 23, 2024

Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.

April 22, 2024

GitLab announced the general availability of GitLab Duo Chat.

April 18, 2024

SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.

April 18, 2024

Red Hat announced updates to Red Hat Trusted Software Supply Chain.

April 18, 2024

Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.

April 17, 2024

CIQ launched fully supported, upstream stable kernels for Rocky Linux via the CIQ Enterprise Linux Platform, providing enhanced performance, hardware compatibility and security.

April 17, 2024

Redgate launched an enterprise version of its database monitoring tool, providing a range of new features to address the challenges of scale and complexity faced by larger organizations.

April 17, 2024

Snyk announced the expansion of its current partnership with Google Cloud to advance secure code generated by Google Cloud’s generative-AI-powered collaborator service, Gemini Code Assist.

April 16, 2024

Kong announced the commercial availability of Kong Konnect Dedicated Cloud Gateways on Amazon Web Services (AWS).

April 16, 2024

Pegasystems announced the general availability of Pega Infinity ’24.1™.