DevSecOps is the DevOps community’s approach to bringing security into the development lifecycle. Businesses want to deliver software, but cannot afford to release unreliable or insecure applications— therefore security needs to be baked in much sooner than it has traditionally been.
DevSecOps shifts security ‘left’ to find and fix vulnerabilities earlier in the software development life cycle. It includes the benefits of DevOps such as developing, deploying and delivering new features at a rapid pace, but it also provides a more proactive approach to identifying and addressing bug in real time to bring security risks significantly down.
Just like DevOps, culture will remain a barrier to a successful DevSecOps solution. In addition to bringing the developers and operation teams together, now they need to figure out how to work with the security team towards the same goals and objectives. Bringing the security team in sooner will help them understand the code and work with the development team in a more productive manner.
JFrog is releasing a new end-to-end solution for developing and deploying enterprise AI applications that brings together development teams, data scientists, and machine learning engineers into a single platform. JFrog ML provides a holistic view of the entire AI software supply chain, from software packages to LLMs, so that companies can ensure their AI applications … continue reading
At its annual user conference, swampUp, the DevOps company JFrog announced new solutions and integrations with companies like GitHub and NVIDIA to enable developers to improve their DevSecOps capabilities and bring LLMs to production quickly and safely. JFrog Runtime is a new security solution that enables developers to discover vulnerabilities in runtime environments. It monitors … continue reading
According to Datadog’s State of DevSecOps 2024 report, 90% of Java services have at least one or more critical or higher severity vulnerabilities. This is compared to around 75% for JavaScript services, 64% for Python, and 50% for .NET. The average for all languages studied was 47% The company found that Java services are also … continue reading
If you ask most folks to describe the top DevOps trends in 2024, you’ll likely hear buzzwords like AI or DevSecOps. Those are certainly trendy topics. But based on the work I do on an everyday basis helping businesses plan and execute DevOps strategies, I’m noticing a different set of salient trends in the world … continue reading
JFrog introduced a new integration between JFrog Artifactory and Amazon SageMaker to streamline the process of building, training, and deploying machine learning (ML) models. This integration will allow companies to manage their ML models with the same efficiency and security as other software components in a DevSecOps workflow. In the new integration, ML models are … continue reading
Raleigh, NC – October 25, 2023 – Digital.ai, the leading provider of AI-powered software delivery solutions for the enterprise, today announced the launch of Denali, the latest release of its AI-powered DevSecOps platform, exemplifying its commitment to delivering an open platform tailored to the needs of the modern enterprise. The platform allows companies to harness … continue reading
GitGuardian introduced a free tool called ‘HasMySecretLeaked’ to assist security engineers in proactively checking if their organization’s confidential information has been exposed on GitHub.com. This tool addresses the challenge of safeguarding secrets in the cloud-native application development realm, where organizations struggle with secrets spreading across developer tools. According to the company, these secrets are also … continue reading
CloudBees has announced a new DevSecOps platform that was built with platform engineering in mind. Platform engineering is a discipline that brings together several different roles and integrates siloed technology into a single platform. The new platform centers the developer experience, minimizing cognitive loads and making DevOps processes invisible. It achieves this through blocks, automations, … continue reading
The DevSecOps provider Digital.ai has announced new capabilities to its platform to provide customers with better predictive analytics across the software development life cycle. New predictive intelligence features include Flow Acceleration, which predicts development cycle times; Quality Improvement, which provides early detection of defects; Change Risk Prediction, which identifies risky changes, reduces change failure, and … continue reading
GitLab today unveiled its newest major release, GitLab 16. This brings users new DevSecOps platform-wide capabilities as well as multiple features that the company is planning to rollout throughout the year. This release provides an enterprise-grade, AI-powered DevSecOps platform with features geared at helping customers write better code faster. Users also gain security testing and … continue reading
Developers, and the software they develop, are the most popular attack vector for today’s hackers and bad actors. The many development tools and processes, not to mention thousands of open-source libraries and binaries, all introduce opportunities for malicious or even accidental injection of risk across the entire software supply chain. In response to this expanding … continue reading
GitLab announced limited availability of GitLab Dedicated, a platform for securely and privately hosting and managing GitLab instances, which makes the company’s DevSecOps platform available as a single-tenant SaaS solution. It provides advanced features such as automated backups, high availability, and automation of operations. It also offers a managed environment for hosting and managing Kubernetes … continue reading
