Best Cloud Workload Protection Platforms in Germany

Runecast is an enterprise CNAPP platform that saves your Security and Operations teams time and resources by enabling a proactive approach to ITOM, CSPM, and compliance. It automates vulnerability assessment, configuration drift management and continuous compliance – for VMware, Cloud and Containers. By proactively using our agentless scanning in real-time admins discover potential risks and remediation solutions before any issues can develop into a major outage. It provides continuous audits against vendor best practices, common security standards, and frameworks such as BSI IT-Grundschutz, CIS, Cyber Essentials, DISA STIG, DORA, Essential 8, GDPR, HIPAA, ISO 27001, KVKK, NIST, PCI DSS, TISAX, VMware Security Hardening Guidelines, and the CISA KEVs catalog. Detect and assess risks and be fully compliant across your hybrid cloud in minutes. Runecast has been recognized with Frost & Sullivan's 2023 European New Product Innovation Award in the CNAPP industry.

SteelHead is the industry’s #1 optimization solution for accelerated delivery of any application across the Hybrid WAN. With SteelHead WAN optimization, you have better visibility into application and network performance and the end user experience. By combining network, application and end user performance metrics for deep visibility, IT can troubleshoot and fix problems before the user is impacted. Leveraging the solution’s application-aware approach, the most complete set of network services and path selection based on intent-based, business-driven, global policies with local enforcement, you also have significantly improved control to enable business agility.

Kubernetes-native security and observability. Security and observability as code for cloud-native applications. Cloud-native security as code for hosts, VMs, containers, Kubernetes components, workloads, and services to secure north-south and east-west traffic, enable enterprise security controls, and ensure continuous compliance. Kubernetes-native observability as code to collect real-time telemetry, enriched with Kubernetes context, for a live topographical view of interactions between components from hosts to services. Rapid troubleshooting with machine-learning powered anomaly and performance hotspot detection. Single framework to centrally secure, observe, and troubleshoot multi-cluster, multi-cloud, and hybrid-cloud environments running Linux or Window containers. Update and deploy policies in seconds to enforce security and compliance or resolve issues.

Darktrace / NETWORK is an AI-powered network detection and response solution built to prevent, detect, investigate, and contain known and previously unseen threats across modern environments. Its Self-Learning AI runs directly on an organization’s data, learns normal behavior for every device, identity, connection, and attack path, and identifies unusual activity without depending on signatures, historical attack data, or globally trained models. It provides visibility across on-premises, virtual, cloud, and hybrid networks, including remote endpoints, OT devices, ZTNA, and both encrypted and decrypted traffic. It continually tunes detection to improve accuracy and reduce alert fatigue without manual rule maintenance. Cyber AI Analyst performs end-to-end investigations at scale, forms hypotheses, reaches conclusions, prioritizes incidents by potential business impact, and correlates events across network, endpoint, cloud, identity, OT, email, and remote systems.