The evolution of monitoring into modern observability has been significant over the past decade, underpinned by the critical role of telemetry data. Logs, metrics, and traces form the backbone of efforts to troubleshoot and optimize applications, networks, and other operational areas. Historically,
Sonatype Inc., a key player in software supply chain management, has unveiled innovative solutions tailored to enhance the security of open-source artificial intelligence (AI) and machine learning (ML) models within integrated software supply chains. With AI and ML becoming increasingly embedded in
Typosquatting, an insidious form of cyber attack, has gained momentum in the financial sector, leveraging deceptive techniques to exploit developers and users through seemingly innocuous errors. A recent wave of attacks specifically targets Linux and macOS systems via contaminated packages
In a significant technological advancement, JFrog Ltd has announced the integration of its platform with NVIDIA NIM microservices. This collaboration seeks to streamline and secure the deployment of artificial intelligence (AI) and machine learning (ML) models across enterprise environments. The
Machine Learning Operations (MLOps) is rapidly becoming essential for enterprises striving for efficient AI deployment. As organizations increasingly adopt AI technologies, leveraging the right MLOps tools can streamline workflows, ensure scalability, and maintain compliance. This article explores
The landscape of cloud computing and artificial intelligence (AI) is undergoing a dynamic transformation, influenced heavily by hybrid models that combine on-premises, cloud, and edge computing. In 2025, these hybrid models are poised to change the way organizations innovate, scale, and secure
