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  1. Rails debug mode enabled

    Uncover the critical security risks of running Ruby on Rails in development mode on a live server, from exposing internal workings and sensitive information to increasing the risk of remote code execution and DoS attacks. Learn practical steps to safeguard your application and prevent these vulnerabilities.

  2. How to store and secure sensitive data in web applications

    Given the surge in web application data breaches, learn how to effectively store and secure sensitive data in your web applications. This article explores critical data types, client-side and server-side storage mechanisms, common OWASP Top 10 vulnerabilities, and essential protective measures like robust authentication, access control, and encryption strategies.

  3. Master API security: Securing your entire API ecosystem with Beagle Security’s API discovery

    Discover how unchecked API sprawl creates critical security blind spots for fast-growing fintech startups, leading to data breaches and operational inefficiencies. Learn how Beagle Security's API discovery feature automatically uncovers and tests all APIs within Kubernetes or Istio environments, ensuring complete visibility and proactive vulnerability management.

  4. How much does pen testing cost (2025)

    Explore the true costs of penetration testing in 2025, breaking down pricing by scope (web, mobile, API, cloud, network, IoT) and methodology (black box, grey box, white box). Discover key factors influencing costs and learn how AI-powered solutions like Beagle Security offer a faster, more affordable alternative to traditional pen tests.

  5. Understanding Cost Seasonality in Kubernetes

    Unpack the concept of cost seasonality in Kubernetes, explore the factors that drive its fluctuations, and discover effective strategies—including right-sizing, autoscaling optimization, and leveraging tools like PerfectScale—to manage and predict your cloud spend while maintaining performance.

  6. FinOps in 2025: The 6 Phases of FinOps Evolution

    Explore the six evolving phases of FinOps, from the initial "Observational" data collection to "Automated" and the future of "Integrated FinOps," revealing how organizations learn to manage cloud spend and optimize infrastructure efficiently over time.

  7. Simplify Database Management with the MariaDB Enterprise Kubernetes Operator

    The MariaDB Enterprise Kubernetes Operator simplifies managing MariaDB Enterprise Platform on Kubernetes. Acting as an embedded DBA, it leverages Kubernetes Custom Resource Definitions (CRDs) to automate deployment and operation of complex MariaDB topologies, including high-availability Galera clusters and MaxScale setups, using simple YAML files. Key features include effortless deployment, seamless rolling upgrades with minimal downtime, automated backups and recovery, and enhanced security. This operator enables advanced high availability with Galera and integrated load balancing with MaxScale, unlocking enterprise-grade features. Certified for Red Hat OpenShift, it reduces operational complexity, ensures data availability and security, and is available with a MariaDB Enterprise Platform Plus subscription.

  8. Quick Start Environments: Simplifying AI Development for Practitioners

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

  9. Navigating the Evolving AI Landscape How Anaconda is Reshaping Data Science and Machine Learning Platforms

    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.

  10. Enterprise Open Source AI: Navigating Risk, Securing Innovation, and Owning Your Destiny

    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.

  11. Integrated password security with Bitwarden SSO

    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.

  12. Bitwarden and the passwordless security revolution

    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.

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