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)
+95
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 |
|---|---|---|---|---|---|---|
| 2451 | Heike Richter | 1 | 0 | — | 9 LOW | |
| 2452 | Oksana Ivanova | 1 | 0 | — | 9 LOW | |
| 2453 | Tilmann Brauner | 1 | 0 | — | 9 LOW | |
| 2454 | Nedeljko Prodanovic´ | 1 | 0 | — | 9 LOW | |
| 2455 | Peter Olaf Fidelis Straub Rheinfelden | 1 | 0 | — | 9 LOW | |
| 2456 | Wolfgang Laures Küssnacht | 1 | 0 | — | 9 LOW | |
| 2457 | Hoang Nguyen Winterthur | 1 | 0 | — | 9 HIGH | |
| 2458 | Rafael Breu St. Gallen | 1 | 0 | — | 9 LOW | |
| 2459 | Beat Friedli Muri b. Bern | 1 | 0 | — | 9 LOW | |
| 2460 | Pierre-Etienne Boin Oberwil | 1 | 0 | — | 9 LOW | |
| 2461 | Oliver Friedli Bern | 1 | 0 | — | 9 LOW | |
| 2462 | Peter Ledermann Mamishaus | 1 | 0 | — | 9 LOW | |
| 2463 | Peter Ward Thônex | 1 | 0 | — | 9 LOW | |
| 2464 | Jana Hirsch Zürich | 1 | 0 | — | 9 LOW | |
| 2465 | Joschua-Pablo Lindner Küsnacht ZH | 1 | 0 | — | 9 LOW | |
| 2466 | Marlis Esther Keller Beinwil am See | 1 | 0 | — | 9 LOW | |
| 2467 | Nathalie Addezio Bern | 1 | 0 | — | 9 LOW | |
| 2468 | Massimo Tognola Caneggio | 1 | 0 | — | 9 LOW | |
| 2469 | Vitomir Gajic Zürich | 1 | 0 | — | 9 LOW | |
| 2470 | Kajum Sulajmani Andelfingen | 1 | 0 | — | 9 LOW | |
| 2471 | Simon Sarbach Adelboden | 1 | 0 | — | 9 LOW | |
| 2472 | Claude Merz Bösingen | 1 | 0 | — | 9 LOW | |
| 2473 | Margrit Merz-Gozzer Bösingen | 1 | 0 | — | 9 LOW | |
| 2474 | Francesca Lepori Colombo Bellinzona | 1 | 0 | — | 9 LOW | |
| 2475 | Matteo Tomaselli Como | 1 | 0 | — | 9 LOW | |
| 2476 | Maria Teresa Nuzzi Torino | 1 | 0 | — | 9 LOW | |
| 2477 | Goran Kostandinov Weisslingen | 1 | 0 | — | 9 LOW | |
| 2478 | Song Jin | 1 | 0 | — | 9 ELEVATED | |
| 2479 | Muhamad Ibrahim Pratteln | 1 | 0 | — | 9 ELEVATED | |
| 2480 | Ismail Demiri Neuhausen am Rheinfall | 1 | 0 | — | 9 HIGH | |
| 2481 | Werner Manfred Schwab Arch | 1 | 0 | — | 9 LOW | |
| 2482 | Marius Jungo Düdingen | 1 | 0 | — | 9 LOW | |
| 2483 | ['Philippe', 'Pierre', 'Jacques', 'Emile'] DELANNOY | 1 | 0 | — | 9 LOW | |
| 2484 | Gianmarco Michele Iacicco Dörflingen | 1 | 0 | — | 9 LOW | |
| 2485 | Dominik Lehnen Stetten SH | 1 | 0 | — | 9 LOW | |
| 2486 | Blerim Kryeziu Pollegio | 1 | 0 | — | 9 LOW | |
| 2487 | Serge Alain Maignien Paris | 1 | 0 | — | 9 LOW | |
| 2488 | Thomas Baumgartner Herisau | 1 | 0 | — | 9 LOW | |
| 2489 | Ali Nasser Zürich | 1 | 0 | — | 9 HIGH | |
| 2490 | Ali Reza Jafari Easton MD | 1 | 0 | — | 9 HIGH | |
| 2491 | Daniel Geiger Allschwil | 1 | 0 | — | 9 ELEVATED | |
| 2492 | Daniela Haindl Dietlikon | 1 | 0 | — | 9 HIGH | |
| 2493 | Daniel Barrer Wolfwil | 1 | 0 | — | 9 HIGH | |
| 2494 | Silvia Klebon Zug | 1 | 0 | — | 9 LOW | |
| 2495 | Tanja Maria Kahre-Henne Gachnang | 1 | 0 | — | 9 LOW | |
| 2496 | Monica Jäggi Möhlin | 1 | 0 | — | 9 LOW | |
| 2497 | Bora Rosen Cevatli Zürich | 1 | 0 | — | 9 LOW | |
| 2498 | Daniela Bär Langenthal | 1 | 0 | — | 9 LOW | |
| 2499 | Felix Elio Pollinger Ried-Brig | 1 | 0 | — | 9 LOW | |
| 2500 | Xavier Nicolas Bestenheider Crans-Montana | 1 | 0 | — | 9 LOW |