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Event Q&A
Why Intelligence-Led Risk Management Is Becoming a Resilience Imperative
Ahead of NextGen OpRisk USA, this Q&A explores how organizations can use industry intelligence, operational risk data, and cross-sector insights to identify emerging threats before they impact critical operations. The discussion examines operational risk blind spots, benchmarking practices, industry collaboration, and the growing role of AI in helping firms move from reactive risk management to a more proactive and predictive resilience strategy.
Sep 30, 2026
Phil Pate, VP & GM EMEA at AlertMedia , Alert Media
Tags:
Operational and Non Financial Risk
Resilience
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
- Organizations are combining AI-driven intelligence with human expertise to identify emerging operational risks earlier and improve decision-making.
- Effective benchmarking focuses on resilience capabilities, response effectiveness, and operational outcomes rather than adopting peer practices wholesale.
- Many operational risk blind spots occur where cyber, supplier, workforce, geopolitical, and physical risks intersect and create cascading impacts.
- Greater industry collaboration and intelligence-sharing can help firms identify threats sooner and improve scenario planning.
- Operational resilience depends on linking external intelligence to critical suppliers, assets, people, technology platforms, and business services.
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