SoftwarePlaza IT Magazine

Mitigant's cloud attack emulation tests real cyberattacks safely. That helps improve cloud security and resilience in Kubernetes environments.

Learn how Devtron helps DevOps teams with monitoring and logging to solve Kubernetes performance and troubleshooting.

Major cybersecurity frameworks like NIST, ISO, & CIS saw critical updates in 2025. Here’s what changed & what’s expected in 2026 across AI, SBOM, and compliance.

A brief summary of what happened at KubeCon Europe 2025 held in London in April 2025.

Flaws in Volkswagen’s connected car app exposed user data and service history.

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

Passwordless authentication is the future. Although multifactor authentication (MFA) is still viable, it's not as strong and reliable as the authentication factor found in passwordless authentication.

Enhance your organization’s security and simplify user access with Bitwarden Login with SSO. This feature integrates identity-based single sign-on (SSO) with Bitwarden’s zero-knowledge encrypted password manager, supporting SAML 2.0 and OpenID Connect. Ideal for enterprises, it enables seamless authentication through existing identity providers while extending protection to all apps—even those without native SSO support.

Since 2016, Lou Hill—a security engineer and founder of Cloudbunker—has trusted Bitwarden for secure password management. What began as a personal solution quickly scaled to power his IT consulting firm and its clients. From internal operations to managed service offerings, Bitwarden helps Cloudbunker enforce strong security, streamline access, and eliminate poor password practices. Now preparing to onboard 200 more users, Hill credits Bitwarden as a future-proof solution for secure, scalable growth.

As AI adoption surges across industries, organizations face critical decisions about how to manage innovation, risk, and control. Open source AI offers enterprises the ability to “own their destiny” — providing transparency, flexibility, and customization that proprietary models often lack. However, with these benefits come challenges: security vulnerabilities, model drift, and cultural shifts in AI literacy. To succeed, businesses must build secure infrastructure, foster cross-functional collaboration, and establish governance pathways that empower safe innovation. The future belongs to cybernetic businesses — and those that proactively shape their AI strategies today will lead tomorrow.

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.

Skip setup hassles—Anaconda’s Quick Start Environments let data pros launch pre-built, conflict-free workspaces instantly and start building faster.