D&O Intelligence Graph & Network Analysis
Validated quantitative risk profiling across 78,269 governing officers. Analyzing statutory filing histories, insolvency exposure, and cross-border contagion vectors through applied network theory.
Officer Velocity (30D)
+63
Net mandate inflow · 30 days
Systemic Overboarding
1,247
Directors with ≥10 mandates
Insolvency Contagion Exposure
892
Linked to active insolvency
Validated Officer Corpus
78,269
Total officers validated
Ranked by validated quantitative model · Scoring Engine v1.0
| # | Director Name & Domicile | Active Mandates | Network Reach | Risk Score & Tier | Centrality | Firm-Specific Risk Flags |
|---|---|---|---|---|---|---|
| 10301 | Thomas Garz Nonnenhorn | 1 | 0 | — | 9 LOW | |
| 10302 | Monika Steiger Goldach | 1 | 0 | — | 9 LOW | |
| 10303 | Massimo Monti Tegna | 1 | 0 | — | 9 LOW | |
| 10304 | Anto Simic Ascona | 1 | 0 | — | 9 LOW | |
| 10305 | Omar Durham Magliaso | 1 | 0 | — | 9 LOW | |
| 10306 | Rosella Gomez-Carbona Jona | 1 | 0 | — | 9 LOW | |
| 10307 | Patrick Blöchlinger Jona | 1 | 0 | — | 9 LOW | |
| 10308 | Pascal Pally Jona | 1 | 0 | — | 9 LOW | |
| 10309 | Daniel Huber Basel | 1 | 0 | — | 9 LOW | |
| 10310 | Burim Buzhala Spreitenbach | 1 | 0 | — | 9 LOW | |
| 10311 | Shqipron Shala Kranj | 1 | 0 | — | 9 LOW | |
| 10312 | Dean Meyer Ebikon | 1 | 0 | — | 9 LOW | |
| 10313 | Fritz Bösch Necker | 1 | 0 | — | 9 LOW | |
| 10314 | Robert Bösch Necker | 1 | 0 | — | 9 LOW | |
| 10315 | Kornelia Bösch Lichtensteig | 1 | 0 | — | 9 LOW | |
| 10316 | Marlies Bösch Necker | 1 | 0 | — | 9 LOW | |
| 10317 | Ingomar Stingl Niedergösgen | 1 | 0 | — | 9 LOW | |
| 10318 | Bekim Shala Meggen | 1 | 0 | — | 9 LOW | |
| 10319 | Alma Shala Meggen | 1 | 0 | — | 9 LOW | |
| 10320 | Delil Bulmus Basel | 1 | 0 | — | 9 LOW | |
| 10321 | Bernhard Bührer Buch SH | 1 | 0 | — | 9 LOW | |
| 10322 | György Miklos Maus Budapest | 1 | 0 | — | 9 LOW | |
| 10323 | Marco Steinmann Hildisrieden | 1 | 0 | — | 9 LOW | |
| 10324 | Flavio Lauener Zug | 1 | 0 | — | 9 LOW | |
| 10325 | Tanja Svab Weinfelden | 1 | 0 | — | 9 LOW | |
| 10326 | Daniele Viale Zürich | 1 | 0 | — | 9 LOW | |
| 10327 | Karin Friedli Aeugst am Albis | 1 | 0 | — | 9 LOW | |
| 10328 | Henri Jean Marc Cortat Courtételle | 1 | 0 | — | 9 LOW | |
| 10329 | Vera Kubitz Baden | 1 | 0 | — | 9 LOW | |
| 10330 | Maurizio Russo Wangen-Brüttisellen | 1 | 0 | — | 9 LOW | |
| 10331 | Christoph Tischhauser Winterthur | 1 | 0 | — | 9 LOW | |
| 10332 | Antonella Katia Fabrizio Corsier | 1 | 0 | — | 9 LOW | |
| 10333 | Salvatore Lanza Cariccio Amriswil | 1 | 0 | — | 9 LOW | |
| 10334 | Ly Nguyen Lupfig | 1 | 0 | — | 9 LOW | |
| 10335 | Leoanh Sale Wallisellen | 1 | 0 | — | 9 LOW | |
| 10336 | Leonora Berisha Bülach | 1 | 0 | — | 9 LOW | |
| 10337 | Sarah Angelika Hüppi-Lischer Wädenswil | 1 | 0 | — | 9 LOW | |
| 10338 | Alessandro Ruggiero Campione d'Italia | 1 | 0 | — | 9 LOW | |
| 10339 | Malesa Ulrico Sidjanski Porza | 1 | 0 | — | 9 LOW | |
| 10340 | Luca Crippa Como | 1 | 0 | — | 9 LOW | |
| 10341 | Bernd Andreas Gerber Canobbio | 1 | 0 | — | 9 LOW | |
| 10342 | Mauro Alessandro Ninci Milano | 1 | 0 | — | 9 LOW | |
| 10343 | Matteo Uberti Cadenazzo | 1 | 0 | — | 9 LOW | |
| 10344 | Walter Marxt Irdning | 1 | 0 | — | 9 LOW | |
| 10345 | Tenzin Choeden Rasidakis Horgen | 1 | 0 | — | 9 LOW | |
| 10346 | Dieter Wiggli Kappel | 1 | 0 | — | 9 LOW | |
| 10347 | Viktor Ferkovic Rheinfelden | 1 | 0 | — | 9 LOW | |
| 10348 | Jacqueline Schaffner Magliaso | 1 | 0 | — | 9 LOW | |
| 10349 | Patrick Degen Speicher | 1 | 0 | — | 9 LOW | |
| 10350 | Mirko Schmiedl Zürich | 1 | 0 | — | 9 LOW |