
Learn to implement secure CI/CD pipelines, integrating DevSecOps practices like Git secret checks, dependency analysis, SAST, and DAST into your development workflow.

Explore AI's impact on secure software development through practical demos in GitHub Copilot. Gain insights on leveraging global security knowledge for safer coding practices.

Explore cloud-native security strategies, emphasizing a shift-left approach for robust application protection in modern environments.

Explore cloud security challenges, emerging threats, and strategies for organizations at different stages of cloud adoption based on the State of Cloud Native Security report.

Learn to integrate security into machine learning model lifecycles using MLSecOps. Explore shift-left security practices, address vulnerabilities early, and implement effective risk management in ML projects.

Explore 5 essential MLOps governance capabilities to effectively implement and control machine learning models in production environments. Gain insights on assessing organizational maturity and achieving full MLOps maturity.

Automate release validation and change impact analysis for service reliability with Dynatrace's Site Reliability Guardian app. Learn key use cases and see it in action.

Explore AI-driven strategies to fortify cloud workloads against evolving cyber threats, from development to runtime, ensuring comprehensive protection throughout the lifecycle.

Explore cloud security challenges and adopt an attacker's mindset to strengthen defenses, improve team collaboration, and enhance incident response in cloud environments.

Explore ownership-driven observability with Dynatrace. Learn to assign owners, manage team metadata, and leverage data for improved automation, reducing MTTR and enhancing collaboration.

Explore how Generative AI revolutionized company creation, from coding to cybersecurity, streamlining operations and driving innovation in enterprise development.

Learn to secure AI and ML systems by integrating security into the Machine Learning lifecycle, leveraging DevSecOps principles to create a robust MLSecOps framework.

Explore cutting-edge approaches to orchestrate Secure Development Lifecycles in the Cloud, addressing challenges and implementing automation for efficient scaling.

Explore best practices, challenges, and future trends in API security for modern enterprise platforms. Gain insights into tools, technologies, and real-world case studies to enhance your API protection strategies.

Learn to secure Docker daemon with TLS encryption and user namespaces. Covers Docker communication, implementation of user namespaces, and includes a practical demonstration for hands-on learning.

Learn to audit Docker security using various tools, covering platform basics, architecture, security needs, and practical demonstrations for establishing a baseline security benchmark.

Explore GitHub and Azure integration for enhanced DevOps, focusing on secure development, automated delivery, and cloud deployment using GitHub Actions and Azure services.

Explore how digital transformation impacts automation testing, focusing on QA community practices, web-based approaches for customer feedback, and the role of compatibility testing in DevSecOps.

Learn how to implement shift-left testing and continuous feedback in agile development. Discover best practices, prerequisites, and tools for early testing, automation, and quality delivery at speed.

Explore container security essentials for developers, including Dockerfile best practices, image sizing, and resource limits. Learn proactive approaches and see live demonstrations of security implications.

Explore Java application security in cloud-native environments through live hacking demonstrations. Learn about common threats, vulnerabilities, and misconfigurations, along with actionable remediation strategies and best practices.