#devsecops

#devsecops

Cloud costs are your canary in the coal mine - and a security signal too. Imagine you're staring at your cloud dashboard, and bam - a sudden spike in spending hits you. It's not just burning cash; it's waving a red flag for potential security holes. That unexplained surge in Kubernetes pods? Could be a sneaky cryptojacker. Or those idle EC2 instances racking up bills?

Rather than simply failing a build it's now possible for the CI/CD platform to automatically fix issues that previously required massive amounts of toil. For example, CI/CD platforms infused with AI can not only create a list of tasks that need to be completed to enable a build to run successfully, but it can now perform those tasks in the background while still keeping humans in the loop, he said.

Let's dig into what this really means, why it matters, and where we go from here. But then I thought a bit more. It's not just necessary-it's overdue. And not only for national security systems. This gap in software understanding exists across nearly every enterprise and agency in the public and private sector. The real challenge is not recognizing the problem. It's addressing it early, systemically and sustainably-especially in a DevSecOps context.

The growing complexity of modern software development and the increasing speed at which organizations need to deliver software have led to the widespread adoption of DevOps practices, particularly continuous integration/continuous deployment(CI/CD) pipelines. These pipelines enable rapid development and deployment cycles; however, they also introduce significant security risks that must be addressed continuously. The traditional methods of integrating security, including DevSecOps, are often reactive and inadequate in keeping pace with change.

HoundDog.ai today made generally available a namesake static code scanner that enables security and privacy teams to enforce guardrails on sensitive data embedded in large language model (LLM) prompts or exposed artificial intelligence (AI) data sinks, such as logs and temporary files, before any code is pushed to production. Company CEO Amjad Afanah said the HoundDog.ai scanner enables DevSecOps teams to embrace a privacy-by-design approach to building applications. The overall goal is to enable organizations to shift more responsibility for privacy left toward application development teams as code is being written, he added.

GitLab is a comprehensive DevSecOps platform that integrates security practices into every phase of the software development lifecycle, providing a single application for various needs.

Blazor's rise aligns with transformative shifts in the DevOps landscape, particularly with AI and ML integration, which enhances DevOps processes and app performance.

This fragmentation leads to higher costs and limits developers' abilities to effectively collaborate and innovate, which is crucial in today's fast-paced tech landscape.

JFrog and NVIDIA have expanded integrations to include the Enterprise AI Factory, enabling the management of AI applications through JFrog's Software Supply Chain Platform.

In high-velocity environments, security controls are only effective if they blend seamlessly with development workflows. This is where code signing often stumbles.

Zero-trust principles are crucial in modern cybersecurity yet CI/CD pipelines often ignore them by assuming automation is inherently trustworthy, creating security vulnerabilities.

Perforce's Puppet Enterprise Advanced platform now integrates security remediation into infrastructure workflows, promoting swift responses to AI-driven threats and reducing operational inefficiencies.