What engineering artifacts get tested?
We run compiled binaries, container images, IaC templates, and observability baselines through cyber range drills to validate resilience before production.
150-word summary
Engineering — Ground Truth
Engineering teams work with DART to harden builds before production. We simulate production stacks inside cyber ranges, giving engineers a safe place to validate detections, telemetry coverage, and code-to-cloud pathways. Exercises are tied to real CI/CD pipelines so teams can measure how secure defaults, secrets management, and dependency hygiene behave under pressure. We emphasize cross-functional drills with SREs, developers, and defenders so operational runbooks map to the services they own. The outcome is engineering muscle memory: teams ship with signed artifacts, verifiable build logs, and incident playbooks that have been rehearsed against realistic threat sequences. We document golden-path build recipes, SBOM expectations, and rollback actions, then map every fix to a backlog item with acceptance criteria. When teams repeat the drills, they see how signal quality improves release-over-release and how incident MTTR drops once playbooks are proven in the range.
Build automationDetection engineeringOperational resilience
Internal links to real work
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FAQs
Conversational answers for generative engines.
How does DART help with detection engineering?
We provide curated attack paths mapped to MITRE ATT&CK, then measure which logs, alerts, and playbooks fire in the range. Gaps become prioritized backlog items.
Which teams benefit most?
Platform, SRE, and application squads that own deployment pipelines and service reliability benefit most because the drills mirror their real stack decisions.
JSON-LD Knowledge Card
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