GitLab announced the launch of GitLab 18, including AI capabilities natively integrated into the platform and major new innovations across core DevOps, and security and compliance workflows that are available now, with further enhancements planned throughout the year.
Software developers and security teams have a well-known antagonistic relationship. Dev teams often feel plagued by the restrictive security standards placed on them by security teams that inhibit their ability to rapidly write applications, while security teams view developers as one of the biggest threats with which they have to grapple.
As DevOps proliferates organizations in the never-ending race to deliver more customer value, faster, security is being forced to rethink its approach. The goal of DevOps is to accelerate the development of software and apps by breaking down the long-established barriers between development and operations. As part of this transformation, it also requires organizations to collaborate with security teams and reevaluate how they approach security in a DevOps world.
There are three core challenges that must be addressed in order for security and DevOps to be in lockstep:
1. Speed
In a world of continuous delivery, security has to be able to keep up with the new pace of development. This is no easy feat as dev cycles are much shorter, going from months to weeks and, in some cases, even days. Therefore, security tools at the DevOps level must be easy to integrate and maintain in order to support a continuous delivery flow. Increased levels of automation, state-of-the-art threat modeling and real-time vulnerability alerts are required. It is also critical that security becomes a component of pre-deployment checklists in dev, staging and production environments. This “shift left” is a best practice for DevOps that all organizations should adopt.
2. Break Down Barriers
At the heart of DevOps success is breaking down long-established silos and creating cross-functional, collaborative teams. Security, development, and operations must work cohesively in pursuit of a common set of goals to deliver successful DevOpsSec. This mandates that security teams serve as consultants to DevOps teams rather than acting as a roadblock, telling developers to go back and fix bad code. One way to help solve this problem is to explore and expand the automation of security solutions.
3. Skills Gap
Security teams must learn new skills in order to understand and integrate technology into the dev process. With development predominantly happening in the cloud, security teams must now be knowledgeable in areas such as API and coding so they can support the new agile development process.
By addressing these three core challenges, security teams can support the growth and success of DevOps. Ultimately, security teams need to look at DevOps through the same lens as a customer-facing web app by establishing a set of standards and best practices. However, it is important to note that post-deployment application security is equally as important as during the development stage. So, getting DevOps security right is only part of the transformation that security teams must undertake.
Industry News
Perforce Software is partnering with Siemens Digital Industries Software to transform how smart, connected products are designed and developed.
Reply launched Silicon Shoring, a new software delivery model powered by Artificial Intelligence.
CIQ announced the tech preview launch of Rocky Linux from CIQ for AI (RLC-AI), an operating system engineered and optimized for artificial intelligence workloads.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the launch of the Cybersecurity Skills Framework, a global reference guide that helps organizations identify and address critical cybersecurity competencies across a broad range of IT job families; extending beyond cybersecurity specialists.
CodeRabbit is now available on the Visual Studio Code editor.
The integration brings CodeRabbit’s AI code reviews directly into Cursor, Windsurf, and VS Code at the earliest stages of software development—inside the code editor itself—at no cost to the developers.
Chainguard announced Chainguard Libraries for Python, an index of malware-resistant Python dependencies built securely from source on SLSA L2 infrastructure.
Sysdig announced the donation of Stratoshark, the company’s open source cloud forensics tool, to the Wireshark Foundation.
Pegasystems unveiled Pega Predictable AI™ Agents that give enterprises extraordinary control and visibility as they design and deploy AI-optimized processes.
Kong announced the introduction of the Kong Event Gateway as a part of their unified API platform.
Azul and Moderne announced a technical partnership to help Java development teams identify, remove and refactor unused and dead code to improve productivity and dramatically accelerate modernization initiatives.
Parasoft has added Agentic AI capabilities to SOAtest, featuring API test planning and creation.
Zerve unveiled a multi-agent system engineered specifically for enterprise-grade data and AI development.
LambdaTest, a unified agentic AI and cloud engineering platform, has announced its partnership with MacStadium, the industry-leading private Mac cloud provider enabling enterprise macOS workloads, to accelerate its AI-native software testing by leveraging Apple Silicon.
Tricentis announced a new capability that injects Tricentis’ AI-driven testing intelligence into SAP’s integrated toolchain, part of RISE with SAP methodology.