SoftwarePlaza IT Magazine

Microsoft warns of a new Exchange Server flaw (CVE-2025-53786) that could let attackers silently gain cloud access in hybrid setups.

Microsoft Build 2025 announces new AI tools, models, and open standards, a future where AI agents drive innovation and simplify development.

Lens Control Central allows enterprises to centralize and manage their security needs for large deployments.

Learn all about Mirantis Rockoon, the open-source VMWare alternative that brings OpenStack and Kubernetes together.

Mitigant's Nils Karn and Thomas Fricke explore cloud attack emulation—real attacks in safe environments—to test resilience and improve security with high accuracy.

Mitsubishi UFJ e-Smart Securities has historically faced challenges around optimizing deployment and package management. By adopting the JFrog Software Supply Chain Platform, the company has transformed its approach to DevOps and realized significant improvements in security, efficiency, and speed.

Modern API security explained: why APIs are prime targets, common OWASP risks, runtime protection, AI anomaly detection, and secure-by-default cloud-native design.

Moore Threads stuns markets with a 400 percent surge on its Shanghai IPO debut, highlighting China’s accelerating push toward AI chip self-reliance and tech innovation.

Meta's AI-powered auto-healing framework for Kubernetes improves reliability, reduces downtime, and enhances scalability.

Discover how Mysten Labs, pioneers of the Sui blockchain, transformed their AppSec by ditching an unreliable tool for Endor Labs. Learn how they achieved trusted findings, minimal developer friction, and faster remediation, enabling them to build the world's most secure blockchain.

This energy operator and facilitator oversees key national electricity and gas markets. By adopting the JFrog Platform, they transformed their software development operations and security practices, achieving significant operational efficiencies, enhanced security, and millions in cost savings.

The data science and machine learning (DSML) landscape is exploding with innovation, but it's also bringing new complexities! Organizations are grappling with the critical need to manage intricate AI development lifecycles, ensure robust governance and security for open-source components, and scale deployments without a hitch. The article dives into how these escalating challenges demand more than just tools—they require comprehensive, secure, and flexible solutions to truly unleash AI's full potential! It's an exciting time, and the focus is squarely on building a trusted foundation for the future of AI.