Gearset announced its new CI/CD solution, Long Term Projects in Pipelines.
JFrog introduced ML Model Management capabilities, a set of functionality designed to streamline the management and security of Machine Learning [ML] models.
The new ML Model Management capabilities in the JFrog Platform bring AI deliveries in line with an organization’s existing DevOps and DevSecOps practices to accelerate, secure and govern the release of ML components.
“Today, Data Scientists, ML Engineers, and DevOps teams do not have a common process for delivering software. This can often introduce friction between teams, difficulty in scale, and a lack of standards in management and compliance across a portfolio,” said Yoav Landman, Co-founder and CTO, JFrog. “Machine learning model artifacts are incomplete without Python and other packages they depend on and are often served using Docker containers. Our customers already trust JFrog as the gold standard for artifact management and DevSecOps processes. Data scientists and software engineers are the creators of modern AI capabilities, and already JFrog-native users. Therefore, we look at this release as the next logical step for us as we bring machine learning model management, as well as model security and compliance, into a unified software supply chain platform to help them deliver trusted software at scale in the era of AI.”
Using JFrog’s new ML Model Management capabilities organizations can:
- Proxy the popular public ML repository Hugging Face to cache open source AI models companies rely on, bringing them closer to development and production, protecting them from deletion or modification.
- Detect and block use of malicious ML models.
- Scan ML model licenses to ensure compliance with company policies.
- Store home grown or internally augmented ML models with robust access controls and versioning history for greater
- Bundle and distribute ML models as part of any software release.
“Increasing numbers of organizations are starting to incorporate ML models into their applications and with several government regulations requiring software vendors to list exactly what’s inside their software, we believe it won’t be long before these guidelines grow to include ML and AI models as well,” said Yossi Shaul, SVP Product and Engineering, JFrog. “We’re excited to give customers an easy way to proxy, store, secure, and manage models alongside their other software components to help accelerate their pace of innovation while remaining well-positioned for tomorrow’s demands.”
Industry News
Rafay Systems has extended the capabilities of its enterprise PaaS for modern infrastructure to support graphics processing unit- (GPU-) based workloads.
NodeScript, a free, low-code developer environment for workflow automation and API integration, is released by UBIO.
IBM announced IBM Test Accelerator for Z, a solution designed to revolutionize testing on IBM Z, a tool that expedites the shift-left approach, fostering smooth collaboration between z/OS developers and testers.
StreamNative launched Ursa, a Kafka-compatible data streaming engine built on top of lakehouse storage.
GitKraken acquired code health innovator, CodeSee.
ServiceNow introduced a new no‑code development studio and new automation capabilities to accelerate and scale digital transformation across the enterprise.
Security Innovation has added new skills assessments to its Base Camp training platform for software security training.
CAST introduced CAST Highlight Extensions Marketplace — an integrated marketplace for the software intelligence product where users can effortlessly browse and download a diverse range of extensions and plugins.
Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI.
Traceable AI announced an Early Access Program for its new Generative AI API Security capabilities.
StackHawk announced a new integration with Microsoft Defender for Cloud to help organizations build software more securely.
MacStadium announced that it has obtained Cloud Security Alliance (CSA) Security, Trust & Assurance Registry (STAR) Level 1, meaning that MacStadium has publicly documented its compliance with CSA’s Cloud Controls Matrix (CCM), and that it joined the Cloud Security Alliance (CSA), the world’s leading organization dedicated to defining and raising awareness of best practices to help ensure a secure cloud computing environment.
The Cloud Native Computing Foundation® (CNCF®) released the two-day schedule for CloudNativeSecurityCon North America 2024 happening in Seattle, Washington from June 26-27, 2024.
Sumo Logic announced new AI and security analytics capabilities that allow security and development teams to align around a single source of truth and collect and act on data insights more quickly.