Cloud-Plattformen · 18.08.2026, 20:10 UTC
Building operational resilience with agentic AI in financial services
| Schweregrad | info |
|---|---|
| Kategorie | Cloud-Plattformen |
| Quelle | Google Cloud Blog ↗ |
| Veröffentlicht | 18.08.2026 UTC |
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For financial institutions, operational resilience has long been embedded in regulatory and supervisory expectations — to say nothing of the high expectations of consumers. With the implementation of the European Union’s Digital Operational Resiliency Act (DORA), those expectations have become even more stringent, with more explicit, harmonized, and evidence-driven requirements. Firms must now demonstrate that their critical business services and supporting digital infrastructures can withstand disruption, support coordinated response, and recover with control. To meet these conditions, Deutsche Bank developed an AI-powered agentic resilience platform that modernized its regulatory tabletop resilience exercises at scale and turned manual preparation into context-aware and evidence-ready simulations grounded in actual operational data. The platform builds enterprise context from architecture, data flows, logs, incident history, alerting signals, and operational telemetry to generate scenarios, simulated operational evidence, structured session records, and regulator-ready artifacts. At many large banks with operations that span interdependent applications, data flows, and third-party services, this is a critical and even existential shift. Across financial services, supervisory expectations are evolving and as they do, banks’ tabletop exercises must reflect their production dependencies, real operating conditions, and compliance with consistent evidence standards more directly. As Deutsche Bank considered how to successfully and efficiently make this shift at scale, it …