AI and Security Lead DevSecOps Priorities in 2024 GitLab Report

The 2024 Global DevSecOps Report from GitLab reveals significant trends and evolving priorities among software development professionals worldwide, as highlighted in a comprehensive survey of 5,315 industry experts. The report shows an unprecedented surge in the adoption and planned implementation of artificial intelligence (AI) technologies, with 78% of respondents indicating plans to integrate AI within the next two years, a notable increase from 64% last year. This trend underscores a broader shift in the industry towards leveraging AI to enhance efficiency and innovation in development processes. Additionally, the report places a strong emphasis on security and automation, reflecting an increased awareness and proactive stance on these critical issues. As organizations aim to stay ahead in the competitive tech landscape, the findings underscore the importance of prioritizing AI and security in the software development lifecycle.

Emphasis on Security and Software Supply Chain

Security emerges as a major focal point in the GitLab report, with an overwhelming number of respondents prioritizing measures to safeguard their software. One key insight is that 67% of professionals now use open source libraries for at least a quarter of their code, demonstrating a strong reliance on community-driven resources. This prevalent use of open-source components also highlights the potential vulnerabilities that could be introduced into applications, making comprehensive security practices more crucial than ever. Despite this reliance, the report reveals a concerning gap: only 21% of organizations employ a software bill of materials (SBOM) to document their software components. This significant discrepancy points to an area needing greater attention and improvement, as the absence of detailed documentation can hinder effective risk management and mitigation strategies.

The combination of heavy reliance on open source libraries and inadequate documentation of software components underscores the critical need for enhanced supply chain security measures. The potential risks associated with unvetted code and poorly tracked software components can be substantial, impacting not only the application itself but also its users and stakeholders. Organizations are increasingly called upon to implement stringent policies and practices to mitigate these risks, safeguarding their software environments from potential threats. Closing this gap in comprehensive security practices requires a concerted effort from development teams, emphasizing the need for robust SBOMs to achieve a transparent and secure software supply chain.

Automation Drives Operational Efficiency

Automation continues to play a pivotal role in transforming the software development lifecycle, with the GitLab report highlighting that 67% of respondents report their processes are mostly or completely automated. This aligns with the broader industry trend of optimizing workflows to enhance both efficiency and security. Automation tools not only streamline tedious and repetitive tasks but also significantly reduce the margin for human error, leading to more consistent and reliable outcomes. As organizations strive to stay competitive and deliver high-quality software, the adoption of automation technologies is becoming indispensable.

Investment priorities for 2024 have shifted, with security and AI now taking precedence over other areas like cloud computing, which dropped to fifth place in strategic importance. Despite this shift, cloud computing remains significant, with a steady increase in cloud-based application deployments reported by many organizations. This trend indicates that while cloud computing continues to be a vital component of modern software development ecosystems, the focus is increasingly leaning towards integrating AI and enhancing security measures. By automating various stages of the development process, from code review to deployment, organizations can achieve greater speeds and efficiency, freeing up valuable resources for more strategic and innovative tasks.

C-Level Endorsement and Positive Outlook

Automation continues to revolutionize the software development lifecycle, with GitLab reporting that 67% of respondents claim most or all of their processes are automated. This trend mirrors the industry-wide focus on optimizing workflows to boost efficiency and security. Automation tools simplify repetitive tasks and minimize human error, resulting in more consistent and reliable outcomes. As companies seek to remain competitive and deliver top-quality software, adopting automation technologies becomes essential.

For 2024, investment priorities have shifted, with security and AI now topping the list, even pushing cloud computing to fifth place in strategic importance. Nevertheless, cloud computing remains crucial with a steady rise in cloud-based application deployments. This trend suggests that while cloud computing is a key element in modern software development, there’s a growing emphasis on integrating AI and bolstering security measures. Automating various stages of development—from code review to deployment—enables organizations to achieve faster speeds and greater efficiency, thereby freeing up resources for more strategic, innovative endeavors.

Explore more

Sui vs. Ethereum: A Comparison of Scaling and Architecture

The Move programming language used by Sui treats digital assets as resources to eliminate reentrancy bugs at the compiler level rather than through manual audits. This fundamental innovation has established a new benchmark for smart contract safety at a time when the decentralized economy is processing trillions in annual volume. In the current landscape, the industry is witnessing a sophisticated

Can macOS Successfully Run on Snapdragon Windows Laptops?

The Snapintosh project serves as a technical blueprint for running high-end Apple software on a diverse range of Qualcomm-powered devices and portable devices. This initiative marks a definitive moment in the computing landscape as enthusiasts successfully navigate the transition from Intel-based systems to the highly efficient ARM architecture. The convergence of hardware standards in 2026 has allowed for a renewed

Vertice Launches AI-Driven Procure-to-Pay Platform

Strategic spend management requires more than passive record-keeping, moving instead toward agentic AI that identifies and corrects financial discrepancies automatically. Vertice has successfully transitioned from a specialized procurement utility into a robust, end-to-end financial ecosystem through the launch of its integrated Procure-to-Pay platform. This development represents a significant milestone for the company, which previously focused on the Intake-to-Procure segment of

Anthropic Launches Claude Duet Proactive AI Agent for Work

As a dedicated productivity tool, Claude Duet focuses primarily on professional and operational workflows rather than the casual personal errands handled by traditional voice assistants. This shift represents a fundamental change in how software interacts with the human workforce, moving away from the static request-response cycle that defined the early era of generative intelligence. By operating on a persistent cloud-based

Closing the Privilege Gap With Idira Integrated Governance

The mover phase of an employee lifecycle often becomes a security black hole where old permissions are retained while new ones are added to the profile. This specific phenomenon, frequently referred to as privilege creep, creates a widening gap between the access an individual actually requires and the expansive permissions they technically possess. In the current cybersecurity environment of 2026,