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The Digital and AI Committee: Why Digital Risk Management Is Becoming Essential for Every Organization
Digital and AI-related risks can no longer be treated as mere IT issues, but as strategic risks for the entire organization. Without governance and dedicated structures, vulnerabilities can impact operations, finances, and reputation. Digital and AI committees are essential for overseeing and managing these risks in an integrated way.
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How to Manage Risks Generated by External Partners: Modern Strategies for Third-Party Risk Management
Efficiently managing risks generated by external partners is essential for modern organizations, especially given the rise in cyber threats. Integrating TPRM into governance strategy and leveraging AI/ML technologies helps anticipate and mitigate risks, strengthening business resilience. An adaptive Third-Party Risk Management program thus becomes a key competitive advantage.
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Why Digital Risk Is Business Risk: The Role of AI and Digital Committees in Operational Risk Management
Digital risk has become a strategic concern for every organization, extending beyond the IT sphere. Digital transformation and AI bring both opportunities and vulnerabilities that must be managed at the board level. The digital committee and AI governance are essential for effective operational risk management.
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Managing Third-Party Risk in the AI Era: How to Build Operational Resilience in a Complex Digital Landscape
AI and digitalization are increasing reliance on external partners, amplifying operational and cyber risks. An adaptive TPRM program and board involvement are becoming essential for business resilience. This article details practical strategies for strengthening third-party risk management in the AI era.
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Practical Guide to Responsible AI Adoption in Financial Risk Management: FSB Recommendations
AI is fundamentally changing financial risk management, but it brings operational and compliance risks. By following the FSB’s recommendations on governance, transparency, and control, institutions can leverage the benefits of AI while reducing risk exposure. This guide provides concrete steps for responsible AI adoption in the financial sector.
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Robust Practices for the Responsible Adoption of Artificial Intelligence in Financial Institutions
The adoption of AI in the financial sector brings major benefits, but also significant risks if not managed responsibly. Robust governance, transparency, and risk assessment practices are essential to turn AI into a safe and competitive advantage. Discover concrete steps for the responsible implementation of AI in your financial institution.
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From Ledgers to Intelligence: How AI is Changing Risk Reporting for the Board
Traditional risk reports are often difficult to understand and don’t help the board make quick decisions. Artificial intelligence can turn these documents into clear tools with relevant, actionable information. Discover how AI brings visibility and rapid response to risk management.
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Cyber Risk: When Technology Becomes a Business Risk
For a long time, cyber risk was seen as a technical problem: servers, passwords, firewalls, antivirus, backups, and IT teams. In reality, this perspective is too narrow. Today, a cyber incident can halt operations, block access to data, impact customers, and damage trust in the organization.
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Problem Loans – Quiet Defaults (EWS)
CQ | “Quiet defaults”: 7 signals you see 60–90 days before a corporate loan breaks (and what to do) ⚡ CQ insight: Loans rarely “explode” overnight. In many cases, deterioration is visible 60–90 days earlier through small, seemingly “minor” signals. If you treat them as a system (not a list), you buy time — and…
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