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)
+51
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 |
|---|---|---|---|---|---|---|
| 3251 | Elvira Venosta Baumann Bauma | 1 | 0 | — | 9 LOW | |
| 3252 | Fabian Lehmann Eggenwil | 1 | 0 | — | 9 LOW | |
| 3253 | Lorenz Pfrunder Heimgartner Zürich | 1 | 0 | — | 9 LOW | |
| 3254 | Lukas Amadeus Walde Eggenwil | 1 | 0 | — | 9 LOW | |
| 3255 | Kaitan Dominik Tschümperlin Küssnacht | 1 | 0 | — | 9 LOW | |
| 3256 | Gabriel Tschümperlin Küssnacht SZ | 1 | 0 | — | 9 LOW | |
| 3257 | Axel Franz Herbert Ritzberger Altendorf | 1 | 0 | — | 9 LOW | |
| 3258 | Ralf Müller Stans | 1 | 0 | — | 9 LOW | |
| 3259 | Mario Fritz Meierskappel | 1 | 0 | — | 9 LOW | |
| 3260 | Beat Lanz Menzingen | 1 | 0 | — | 9 LOW | |
| 3261 | Dimitri Cohen Villmergen | 1 | 0 | — | 9 LOW | |
| 3262 | Tania Reuse Aesch | 1 | 0 | — | 9 LOW | |
| 3263 | Frieda Gysin Kriens | 1 | 0 | — | 9 LOW | |
| 3264 | Octavian Gabriel Negrea Horw | 1 | 0 | — | 9 LOW | |
| 3265 | Michel Chardonnens Arth | 1 | 0 | — | 9 LOW | |
| 3266 | Christian Rieser Duggingen | 1 | 0 | — | 9 LOW | |
| 3267 | Lars Peter Büchler Zürich | 1 | 0 | — | 9 LOW | |
| 3268 | Marco Rothenfluh Zug | 1 | 0 | — | 9 LOW | |
| 3269 | Marco Villiger Bünzen | 1 | 0 | — | 9 LOW | |
| 3270 | Abdnnassar Chtoun Luzern | 1 | 0 | — | 9 LOW | |
| 3271 | Samir Eloirzadi Luzern | 1 | 0 | — | 9 LOW | |
| 3272 | Michael Roduit Fully | 1 | 0 | — | 9 LOW | |
| 3273 | Stefanie Jordan Mainhausen | 1 | 0 | — | 9 LOW | |
| 3274 | Sven Wächli Zürich | 1 | 0 | — | 9 LOW | |
| 3275 | Timo Poppinga Köln | 1 | 0 | — | 9 LOW | |
| 3276 | Guido Pfister Sempach | 1 | 0 | — | 9 LOW | |
| 3277 | Beat Eggimann Madiswil | 1 | 0 | — | 9 LOW | |
| 3278 | Jacqueline Kaufmann Affoltern am Albis | 1 | 0 | — | 9 LOW | |
| 3279 | Remo Hauser Zürich | 1 | 0 | — | 9 LOW | |
| 3280 | Tobias Plankl Oberglatt | 1 | 0 | — | 9 LOW | |
| 3281 | Verena Pfister Stadel | 1 | 0 | — | 9 LOW | |
| 3282 | Meike Tilsner Hamburg | 1 | 0 | — | 9 LOW | |
| 3283 | Kenneth Nielsen Den Haag | 1 | 0 | — | 9 LOW | |
| 3284 | Frank Michael Erhardt Lehre | 1 | 0 | — | 9 LOW | |
| 3285 | Mario Alejandro Alzate Pizarro Savosa | 1 | 0 | — | 9 LOW | |
| 3286 | Colin Alan Grant Upper Rouchel | 1 | 0 | — | 9 LOW | |
| 3287 | Torbjörn Christoffer Jörgensen Limhamn | 1 | 0 | — | 9 LOW | |
| 3288 | Andrey Chicherin Moskau | 1 | 0 | — | 9 LOW | |
| 3289 | Mario Russo Sonvico | 1 | 0 | — | 9 LOW | |
| 3290 | Alain David Zumbühl Thun | 1 | 0 | — | 9 LOW | |
| 3291 | Hysni Beqiri Basel | 1 | 0 | — | 9 LOW | |
| 3292 | Yvonne Biri Massler Bözberg | 1 | 0 | — | 9 LOW | |
| 3293 | Thomas Wernli Windisch | 1 | 0 | — | 9 LOW | |
| 3294 | Sven Egger Lupfig | 1 | 0 | — | 9 LOW | |
| 3295 | Gerlinde Renate Meier-Pfeiffer Niederwil | 1 | 0 | — | 9 LOW | |
| 3296 | Rolf Graf Maisprach | 1 | 0 | — | 9 LOW | |
| 3297 | Matteo Giovanni Twerenbold Zug | 1 | 0 | — | 9 LOW | |
| 3298 | Gabriele Essen Volketswil | 1 | 0 | — | 9 LOW | |
| 3299 | Albert Reinhard Sarnen | 1 | 0 | — | 9 LOW | |
| 3300 | Margrit Reinhard-Wollenmann Sarnen | 1 | 0 | — | 9 LOW |