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  1. Fintech Developer Streamlines Software Production with JFrog’s Release Lifecycle Management

    A multinational financial technology firm improved security and compliance by adopting the JFrog Platform for software releases. Using immutable release bundles and controlled promotion, they minimized risks while maintaining strict regulatory standards. JFrog’s Release Lifecycle Management (RLM) capabilities reduced manual intervention, allowing teams to focus on innovation.

  2. Fitness App Breach Exposes French Nuclear Submarine Secrets

    Read to know how Strava’s fitness tracking app showcased the loopholes in their data privacy capabilities.

  3. Five Reasons Standalone Vulnerability Scanning Isn’t Enough in 2025

    Vulnerability scanning alone doesn’t cut it anymore. While it’s long been a core security practice, scanning tools can’t tell you which vulnerabilities are exploitable, how attackers would target them, or which ones pose real risk. This article explores the limitations of vulnerability scanning, the shortfalls of traditional vulnerability management, and why organizations must adopt a risk-based, context-driven approach to application security. Learn how to prioritize based on exploitability, integrate security across the SDLC, and move toward continuous, intelligent threat detection.

  4. Flywheel Accelerates Deployments and Provides Agile, Compliant Support for Biomedical Researchers using Teleport

    Flywheel Accelerates Deployments and Provides Agile, Compliant Support for Biomedical Researchers using Teleport.

  5. From Alerts to Actions: Turning AppSec Data into Business Value

    Modern AppSec teams are overwhelmed with alerts but still struggle to answer the one question that matters: What should we fix first? This article explores how shifting from raw data to contextual insights helps prioritize the most impactful vulnerabilities, align security efforts with business goals, and move application security from a cost center to a strategic enabler.

  6. Generative Intelligence: How Gen AI Growth is Driving Business Intelligence Tools

    Learn how generative AI advances will redefine how BI tools empower you for business decision-making.

  7. Get the evil out – don’t run containers as root

    When containers entered the stage, by default they ran as root. This poses a security risk. Get the evil out - don't run containers as root.

  8. GitKraken Desktop 11.2: Merge Conflicts, Meet AI (and More Dev-Quality-of-Life Wins)

    Tired of merge conflict headaches? Discover GitKraken Desktop 11.2, where AI-powered assistance simplifies conflict resolution with context-aware suggestions and confidence levels. Plus, enjoy new quality-of-life wins like hunk-level reverts, enhanced collaboration features, and CLI support for AI agents, supercharging your Git workflow!

  9. GitLab Continues AI Momentum with Enhanced AI-Powered DevSecOps Workflows

    Introducing the beta availability of GitLab Duo Chat and the upcoming general availability of GitLab Duo Code Suggestions to increase security, efficiency, and collaboration across the entire software development lifecycle.

  10. GitOps Pros and Cons

    Explore the role of GitOps in configuration management and continuous delivery within Kubernetes. Learn about its pros, such as automated deployment and hands-off operation, and its cons, including risks of automated failures.

  11. GitOps vs. DevOps: Key Differences Explained

    GitOps and DevOps are often seen as interchangeable, but they serve distinct purposes within the software delivery lifecycle. This article breaks down their differences, tools, workflows, and where they overlap. Learn how GitOps focuses on infrastructure automation using Git as the source of truth, while DevOps represents a broader cultural shift aimed at collaboration and continuous delivery. Discover how combining both approaches can streamline development, enforce consistency, and boost deployment reliability.

  12. Global fintech company Airwallex meets customer needs faster with GitLab

    Airwallex, a global financial platform, uses GitLab’s AI-powered, end-to-end DevSecOps platform to expand its business and meet customer requests faster, outmaneuvering competitors.

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