title: Case Study — Prospect X (Reported)

Case Study — Prospect X (Reported)

Summary based on a field‑validated public narrative.

Context: A national sports development entity with ~1,100 endpoints, HQ + ~170 remote offices, handling sensitive personal data for millions (including minors), under GDPR and NIS‑2 obligations.

Challenge: Replace reactive, rule‑heavy tooling (e.g., traditional SIEM workflows) with proactive, explainable defense that scales across a distributed environment and strict regulation.

Reported Outcomes

  • False positives: >90% reduction versus legacy rule‑based systems (less alert fatigue).
  • Economics: Projected 70–80% lower 2‑year TCO compared to typical SOC models (often $1.6–2.5M/year) with an estimated ecOS program around $460k.
  • Operational wins: Secured major international events; differentiated DDoS from legitimate bursts; detected credential abuse; stopped lateral movement across remote offices.

Figures are reported from the narrative; validate in your own environment.

Competitive Edge (Narrative)

  • Native explainable AI: SynA surfaces “why,” gaps, and next actions.
  • Autonomous simulation: Efference gating predicts impact before acting.
  • Patent leverage (vector embeddings): A cited Italian patent for efficient embedding/dimensionality reduction aimed at cutting compute cost/time for large data processing.

Sustainability

  • Real‑time tracking of energy savings and carbon‑footprint reduction during operations.

Adoption

  • Reported early use by three universities, supporting the educational/research posture of the Community Edition.