Since 2019, I've worked on the vendor side of cybersecurity in a customer-facing role. My focus is vulnerability and exposure management, cloud security, and compliance-driven security programs — pragmatic, auditable, and designed for day-to-day environments.
I'm Heiko Zimmermann, with a background in systems engineering and a long-standing focus on IT security and compliance.
In my current role, I work closely with security and IT teams — often from CISO-level stakeholders down to technical owners — to clarify requirements, map risk to practical outcomes, and support informed technical decisions.
I value measurable controls, reliable operations, and solutions that hold up under real operational and regulatory pressure — without hype.
Cloud-based security and compliance, centered on continuous visibility, risk prioritization, and operationally usable reporting.
Continuous asset discovery and assessment across hybrid environments, paired with risk context to support practical remediation decisions.
Security posture and attack surface assessment across cloud and platform environments, including configuration and exposure risks.
Turning requirements into measurable controls, defensible evidence, and repeatable reporting to reduce audit friction.
Moving from point-in-time checks to continuous monitoring, automation, and operational alignment with existing IT workflows.
Helping teams operationalize security: consistent data, usable reporting, and implementation patterns that scale across environments.
Pragmatic analytics (and AI where it helps) to support triage and prioritization — focused on clarity, explainability, and usefulness.
Outside of my core professional focus, I build small independent projects to explore technologies hands-on. The aim is learning by building and understanding systems in practice.
Focused helpers that remove friction in everyday workflows — scripts, integrations, and lightweight web tooling.
Building repeatable processes and simple pipelines with a bias toward reliability, maintainability, and observability.
Practical use of AI for classification, summarization, and routing — focusing on usefulness and clarity rather than hype.