Software program provide chain firm JFrog Ltd. right now introduced a brand new runtime safety answer and a brand new product integration with Nvidia Corp. that gives customers with enhanced safety and the power to safe synthetic intelligence fashions.
JFrog’s new JFrog Runtime provides end-to-end safety for purposes all through their total lifecycle, from growth to deployment and manufacturing. The brand new service integrates into DevSecOps workflows, permitting organizations to implement safety measures at each step of the software program provide chain. In doing so, the service tackles vulnerabilities in actual time to make sure that cloud-native purposes, comparable to containers in Kubernetes environments, are monitored for potential dangers.
Options of JFrog Runtime embrace real-time vulnerability detection and danger prioritization that permits safety and growth groups to determine safety points based mostly on their enterprise impression and therefore accelerating the triage course of. The platform additionally safeguards purposes in opposition to potential post-deployment threats, comparable to malware or privilege escalation assaults, via superior monitoring for cloud-based workloads.
JFrog Runtime additionally enhances collaboration between safety and growth groups via the availability of a unified platform for managing dangers. With the unified platform, builders can observe software program packages from varied sources to make sure compliance and model management, whereas on the similar time, safety groups can implement insurance policies that preserve the integrity of the software program all through its lifecycle.
Introduced alongside JFrog Runtime right now was JFrog partnering with Nvidia to combine Nvidia NIM microservices into the JFrog Platform, enabling enterprises to deploy safe, graphics processing unit-optimized AI fashions shortly. Nvidia NIM is a microservices platform inside Nvidia AI Enterprise that gives GPU-optimized infrastructure for deploying high-performance AI fashions and enormous language fashions securely and effectively.
The brand new integration permits organizations to leverage Nvidia’s AI infrastructure for high-performance machine studying whereas sustaining visibility and safety via JFrog’s unified DevSecOps workflows.
By way of the mix of JFrog Artifactory with Nvidia NIM, JFrog says that enterprises can streamline AI mannequin administration and speed up the deployment of LLMs. The platform additionally provides customers centralized management that ensures compliance and traceability throughout AI deployments, from growth to manufacturing.
“As enterprises scale their generative AI deployments, a central repository may help them quickly choose and deploy fashions which are accredited for growth,” mentioned Pat Lee, vp of Enterprise Strategic Partnerships at Nvidia. “The mixing of Nvidia NIM microservices into the JFrog Platform may help builders shortly get totally compliant, performance-optimized fashions shortly working in manufacturing.”
JFrog Artifactory gives a single answer for housing and managing all artifacts, binaries, packages, information, containers and parts to be used all through software program provide chains. The JFrog Platform’s integration with Nvidia NIM is anticipated to include containerized AI fashions as software program packages into current software program growth workflows.
Photograph: JFrog
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