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Organizations are moving to the cloud to enable digital transformation and reap the benefits of cloud computing. However, security teams struggle to understand the DevOps toolchain and how to introduce security controls in their automated pipelines responsible for delivering changes to cloud-based systems. The main benefit of the DevSecOps model is that it makes security a requirement known to all stakeholders and not just to industry specialists and a dedicated team. This approach tries to bring security practices as close as possible to the delivery phase, instead of isolating them in a separate phase following each software release cycle.
DevsecOps Automation
The Finnovion's lab environment simulates a real-world DevOps environment, with more than 10 automated pipelines responsible for building DevOps container images, cloud infrastructure, automating gold image creation, orchestrating Kubernetes workloads, executing security scans, and enforcing compliance standards. Students are challenged to sharpen their technical skills and automate more than 20 security-focused challenges using a variety of command line tools, programming languages, and markup templates.
Discover MoreSecurity Patching
The 'shift left' approach increases the proactivity of devops teams. By immediately seeing security-related metrics, development teams are progressively made aware of potential problems before considering the code 'ready'. Continuous and proactive scanning allows vulnerabilities/CVEs to be identified and fixed at a much faster pace than a planned analysis mechanism. The extensibility of the tools and the determinism guaranteed by the market solutions makes it possible to optimise the level of sensitivity of the tools with respect to the most critical alerts according to the organisation's standards and policies. All major tools can be integrated within the Continuous Delivery and Continuous Integration pipelines.
Discover MorePlatform Selection
Select enterprise platform, meeting needs including operations support, technology depth and breadth, adoption feasibility, security and compliance, costs and more. Our tailored service helps you make the right decision, every time, to break through common business issues that slow down your modernization efforts. We help build a coherent, holistic view of applications and infrastructure using existing data alongside data from discovery tools. By focusing on applying advanced data engineering techniques to clean, transform and process raw data about your IT estate. Once this step is complete, we conduct a detailed analysis for IT change.
Discover MoreEnterprise Adoption
Drive enterprise-wide adoption, establishing program governance, operation readiness and target operation model. CMDB sensitization and dependency mapping of applications to infrastructure, as well as software-defined network fabric and standardized network and infrastructure operations across all of the customers’ global offices. Benefits included a cloud strategy built with a federated model, featuring client private cloud, Azure, AWS and GCP.
Discover MoreRuntime SP
DevSecOps continues to be a fast-growing trend within organisations, its adoption can improve the quality of the software produced and the security level of the entire value chain associated with software development. Best practices simplify its adoption and the use of new technologies and specific tools allow for standardisation of technology implementation. For a company that wants to remain competitive in the market, starting on a path of DevSecOps Strategy - that is, an in-depth study of the competitive advantage this methodology can bring to the organisation - can be a winning move.
Discover MoreSecOP Utilization
Managing fragmented data across on-site locations and spreadsheets often leads to inefficiencies and inaccuracies. Our team enhanced a leading public agency’s operations by implementing a unified reporting system with Microsoft Azure Data Factory and Power BI, significantly improving data accuracy, efficiency, and decision-making. We can help you develop a customized plan for deploying, operating and optimizing cloud-based platforms, with a comprehensive analysis of current processes and systems.
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