Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Even though security tooling and automation in DevOps have advanced, human error remains the primary cause of cybersecurity breaches. It’s commonly known that nearly 95% of security incidents stem from our mistakes. A smiled dev philosopher would say: “We’re all just beta software in the giant simulation called life. Debugging takes time.”

Jira sandboxes provide strategic leverage for the development lifecycle. Unfortunately for IT teams, migrating them to production environments is rarely straightforward. That means backups should be immediately pointed out as a vital part of the process. A smooth migration means tested changes in the sandbox are moved to the live system without errors. This makes the platform stable and minimizes potential problems.

Switching from GitLab to Azure DevOps offers the opportunity to reconsider your processes, streamline your pipelines, and match your tools with your objectives. Primarily if your company uses Microsoft software. Still, more than just technical expertise is needed for such a migration. It includes a plan to handle any potential problems. This article will help you get familiar with the complexities of migrating projects, repos, metadata, etc., between GitLab and Azure DevOps platforms.

Given today’s reality of cyber security, healthcare organizations are always at risk of getting attacked. A Sophos‘s study outlines that out of the surveyed organizations, 59% have been impacted by ransomware attacks in 2024. What is more – only 22% have actually fully recovered in less than a week. However, for 37% of those institutions, it took over a month to recover. This is why it is crucial to adhere to regulatory frameworks and keep your data secured to the highest standard.

It’s easy to get lost in the plethora of continuous DevOps monitoring and DevSecOps tools available in the IT world nowadays. With the help of such continuous DevOps monitoring tools, CTOs and CISOs can leverage the security of their software development and ensure that their source code has no mistakes or vulnerabilities; what is more, it will never be lost.

Jira is a project management tool that helps IT teams simplify their DevOps and PM processes. Also, it supports easy collaboration throughout the team, thanks to the complex issue-tracking system. However, one thing you should be cautious of… It is the accidental or intentional deletion of important issues. Why?

Github Copilot became the subject of critical security concerns, mainly because of jailbreak vulnerabilities that allow attackers to modify the tool’s behavior. Two attack vectors – Affirmation Jailbreak and Proxy Hijack – lead to malicious code generation and unauthorized access to premium AI models. But that’s not all. Contents hide 1 Jailbreaking GitHub Copilot 1.1 Affirmation jailbreak? “Sure,” let’s exploit the AI system(s) 2 Proxy Hijack.

This guide provides a helpful roadmap for efficiently transitioning your repos, CI/CD pipelines, and security configurations. The main focus is key considerations and practices that result in a smooth process.

Having your software data is paramount: System administrators, data analysts, auditors, and software security experts face the challenge of securely extracting valuable information from Jira while ensuring efficiency, compliance, and data integrity. Fortunately, counting on reliable solutions to export issues or work items from Jira is a task that can be securely and efficiently covered.

The evolution of artificial intelligence has been rapid thus far. By 2030 the AI market is projected to reach $1.81 trillion. Technology supported by AI has been useful in many areas of life such as education, healthcare, or finance. That is reflected by the rate of AI adoption by organizations being 72% (2024). Even if you just look around you – many people use tools like ChatGPT for daily life or work, AI helps with email management or studying. What do these advancements in AI bring to DevOps?