Synergy B1
HPC Enables "Security at Scale" (Telemetry, Detection, AI)
Modern cyber defense is fundamentally a data/compute problem:
- Packet / flow analytics
- Endpoint and identity telemetry
- Log correlation
- Anomaly detection
- ML/DL-based detection and triage
- Large-scale threat intelligence processing
HPC Provides
- Throughput (GPU acceleration for stream processing / ML inference)
- Retention and search (fast storage and indexing)
- Training capacity (model training and evaluation)
Target Stack Includes
- Centralized logging/search (OpenSearch / ELK patterns)
- SIEM tooling integration (e.g., Wazuh, QRadar)
- Platform-wide metrics/monitoring (Prometheus / Grafana)
- GPU-capable AI cybersecurity tooling options
Synergy B2
Cyber Enables "HPC as a Trustworthy Shared Service"
The moment HPC becomes multi-tenant (academia, industry, external users), it becomes a high-value target. Cyber is not an add-on; it's the control plane for safe operations:
- Identity federation, MFA, least privilege
- Workload isolation
- Supply-chain security (images, artifacts)
- Audit and non-repudiation
- Incident detection and response
- Segmentation and microsegmentation
Platform Direction Already Includes
- Strong virtualization and cloud primitives (OpenStack, KVM, security groups, etc.)
- Kubernetes with security tooling and policy options
- Explicit log/incident integration into SIEM/log stacks
Synergy B3
Security Research Can "Consume" the Platform
A competence center can productize its own infrastructure:
- Cyber exercises and simulations using realistic scale
- Malware and traffic analysis sandboxes
- "Security data lake" services for researchers
- On-demand red-team / blue-team environments
This becomes strategically valuable if you operate it as a service catalog (HPC jobs, cloud resources, datasets, sandboxes), with accounting and access governance.