The company is an early-stage cloud security startup building in the prevention layer — the architectural gap between code-level posture management and runtime detection-and-response. Rather than competing on exposure prioritization or alert triage, the platform hardens cloud infrastructure by controlling service-to-service access at the network and identity level, extending defense-in-depth principles from the on-premises era into cloud-native environments. The approach combines three views of access — what is technically configured, what is actually observed in logs, and what was intentionally specified in code and architecture — and surfaces the gaps between them as the foundation for guardrails, simulation, and eventual enforcement. The longer arc is to evolve from an intelligence engine into an active control system that orchestrates cloud-native security primitives directly through provider APIs, rather than layering on additional agents or sensors. Initial go-to-market is bifurcated across cloud-native organizations cleaning up existing infrastructure sprawl and traditional hybrid enterprises running lift-and-shift workloads, with micro-segmentation emerging as a credible near-term wedge against incumbent network segmentation vendors.