Azure Policy Experts in Germany

I implemented a Zero-Trust architecture for robust, military-grade maritime container mini data centers based on VMware & Tanzu to support containerized GIS workloads for ground forces. The main focus was on securing communications, workload protection, and data access in contested electronic battle environments affected by jamming, interception, signal manipulation, and constantly changing operational conditions. I designed and architected use cases so that every element of workload, identity, and system could continue to operate independently and securely even in degraded or disrupted scenarios. In parallel, I defined the enterprise and solution security architecture with LeanIX, Bizzdesign, and HOPEX as enterprise architecture, repository, and governance platforms to maintain architecture inventory, relationships, traceability, target pictures, and security governance in complex environments. For the architectural designs, I used Sparx Enterprise Architect to describe formal architecture views, interfaces, trust boundaries, and system architecture in both IT and OT environments. IriusRisk was used for threat modeling of the solution to identify architecture-driven risks, derive security requirements, and detect countermeasures and design gaps directly from the solution models. Risk and compliance management was supported with Archer. Architecture decisions, control gaps, and operational risks were translated into controlled governance and auditable compliance measures. For documentation, collaboration, and visual design, I used Confluence to maintain Architecture Decision Records, Security Blueprints, and workflows. I used Lucidchart and draw.io to create design artifacts tailored to stakeholders. I also defined OT security concepts with support from electrical and mechanical engineers in the areas of oil, vehicle onboard systems, rail, power plants, pharma, gas turbines, and nuclear technology. I created the end-to-end OT security strategy, starting with global policy, developed into standards and procedures, and finally aligned with Bell-LaPadula, Purdue Model, SABSA, TOGAF ADM, CENELEC 50701, IEC 62443, and NIST standards. In addition, I worked with engineering team leads to identify critical KBP assets and place them under protective measures that segmented SCADA, PLC, and HMI assets. I drove collaboration between Security, IT, and OT teams to create standardized workflows and use cases for the OT security solution catalog, while integrating Defense-in-Depth and Zero-Trust principles into operational environments. A key part of my work was integrating multidisciplinary engineering, security, and operations stakeholders into a unified security blueprinting strategy and ensuring that architecture, threat modeling, governance, and documentation were technically strong and operationally practical.

• Analysis and further development of the security architecture.
• Design and development of Splunk apps and technical add-ons (TAs).
• Development and implementation of security use cases in the Splunk SIEM.
• Creation and maintenance of incident response playbooks in Cortex XSOAR.
• Support of technical proof-of-concepts to assess new detection technologies.
• Lifecycle management and operational support for Splunk and Cribl systems.
• Deployment and scaling of Splunk indexers in hybrid data center environments.
• Maintenance, update planning, and optimization of Cribl Stream & Edge for log ingestion and data routing.
• Creation of dashboards and reports to visualize security posture and system availability.
• Technical analysis to assess network topologies and data flows.
• Integration of new data sources via Cribl Stream/Edge and heavy forwarders in cloud and on-prem environments.
• Integration of external security components such as Cortex XSOAR (SOAR) and user behavior analytics (UBA).
• Implementation of complex correlation rules in Splunk Enterprise Security (ES).
• Connection of external ticketing systems via mail gateways and REST APIs.
• Automated deployment of use cases, dashboards, and detection rules via Git and Ansible.

• Setting up a centralized security monitoring system (SIEM)
• Integrating and onboarding log sources (Windows, network, applications)
• Developing dashboards and alert structures
• Structuring data models for efficient analysis

• Automatic report generation based on log data from the Senstar surveillance camera software, tracking access times of different camera systems
• Gathering requirements and translating them into a suitable technical solution
• Implementing Python scripts to read, process, and convert Senstar log data into PDF reports
• Reading configuration files to control the scripts
• Packaging the Python scripts and all dependencies into an executable .cmd for offline installation on Windows Server
• Providing a --help parameter to list and explain the script options
• Creating documentation for installing, configuring, and running the scripts
• Technical environment: Python 3, SQL, Senstar, Windows Server, Python setuptools, fpdf