Corporate Risk Leaders

Organizations are mainly adopting AI across risk management to streamline processes such as automated controls testing, continuous monitoring and regulatory change management. Risk intelligence processes are also being transformed, with AI enabling faster ingestion of large or unstructured datasets to surface emerging signals and threats faster. However, effective AI governance remains essential; risk leaders should ensure that human oversight is maintained throughout AI-assisted processes and that vendors can demonstrate model explainability, particularly where AI outputs inform risk decisions that are crucial to business functions.

An integrated approach connects risk disciplines such as ERM, GRC, cybersecurity and third-party risk within a unified governance structure and prevents the structural and technological problems that come with silos. An integrated framework supports consistent risk processes by enabling shared taxonomies and common controls mapping that are not bound to one function. In practice, integration also supports more coherent ownership and reporting practices.

Effective geopolitical risk management requires continuous monitoring of conditions across a range of geographies, supported by real-time insight into political, economic and regulatory developments. Firms may broaden their geopolitical risk data intake as they move deeper into their supply chain analysis. Indeed, organizations with operations or supply chains spanning multiple jurisdictions benefit from geospatial risk intelligence tools that can surface hyper-local exposures and trigger timely reassessments and deployment of contingency plans.

Yes. Although certain ESG and sustainability regulations are being scaled back in some jurisdictions, these areas continue to represent sources of material risk. International regulatory expectations remain stringent, and investor and stakeholder scrutiny of ESG performance has not diminished. Verdantix research indicates that one in five firms are expecting to increase spending on ESG software in the next two years (see Verdantix Global Corporate Survey 2025, Risk Management Budgets, Priorities And Tech Preferences).

Cybersecurity risk should be treated as a key component of enterprise risk management rather than a standalone IT function. Given that most cybersecurity incidents originate externally, threat intelligence on vendors, partners and providers is particularly important. CROs should ensure that cybersecurity monitoring is not limited to the firm’s own assets, but also connects to third-party risk management processes to provide a complete picture of external exposure.

Demonstrable, resilient capability building, which requires clear, outcome-focused reporting, is key. Risk leaders should connect risk management activities to tangible business outcomes, including avoided losses, improved compliance performance and faster response to emerging threats. Benchmarking against peer organizations, building scenarios to highlight financial impact and leveraging analysis from sources such as Verdantix can also help to contextualize investment levels and priorities.