CQ | Managing Third-Party Risk in the AI Era: How to Build Operational Resilience in a Complex Digital Landscape

As AI and digitalization transform the way companies collaborate with suppliers and partners, operational and cyber risks are becoming increasingly difficult to anticipate and manage. In a constantly changing digital landscape, operational resilience is no longer optional, but a strategic necessity.

Organizations seeking to protect business value and remain competitive must fundamentally rethink their approach to third-party risk management (TPRM). How can TPRM strategies be aligned with risk appetite and business objectives to ensure continuity and operational resilience?

Digital Transformation and Increasing Third-Party Dependency

Accelerated digitalization and the adoption of AI/ML technologies have transformed value chains and the way companies operate. Outsourcing IT services, using cloud platforms, integrating third-party AI solutions, or collaborating with fintechs and tech start-ups are becoming central elements for innovation and efficiency. At the same time, these partnerships increase dependence on external ecosystems, creating new attack surfaces and operational vulnerabilities.

Risks Amplified by AI and the Complexity of Third-Party Relationships

As the third-party ecosystem diversifies, the associated risks grow exponentially. AI and machine learning bring competitive advantages, but also major challenges in terms of security, privacy, and data integrity. Risks are not limited to cyberattacks or data breaches, but also include:

• Critical dependence on opaque AI algorithms and models that are difficult to audit
• Compliance risks (e.g., GDPR, evolving AI regulations)
• Reputational risk associated with errors or abuses by AI providers
• Operational disruptions caused by the unavailability or compromise of third-party services

TPRM Strategies, Governance, and Board Involvement for Resilience

An adaptive Third-Party Risk Management (TPRM) program, aligned with the organization’s risk appetite and strategic objectives, becomes essential to manage today’s complexity. Here are some key directions for strengthening resilience:

1. Ongoing Assessment and Segmentation of Third Parties

• Classifying suppliers based on business impact and risk exposure
• Continuous monitoring of performance and risks associated with each third party (including AI/ML)

2. Integrating TPRM into Business Strategy

• Aligning risk management policies with growth and innovation objectives
• Assessing risks from the due diligence and contracting phase with technology partners

3. Robust Governance and Board Involvement

• Active involvement of the board in approving TPRM policies and risk tolerance
• Periodic reporting on critical risks and continuity plans
• Establishing clear responsibilities for managing third-party relationships

4. Resilience Testing and Response Plans

• Regular incident simulations (including AI scenarios) and updating continuity plans
• Close collaboration with suppliers to ensure transparency and rapid incident response

Recommendations for Strengthening Operational Resilience in the AI Era

In a volatile digital environment, operational resilience can no longer be treated as simple compliance or a checklist. A holistic approach is needed, where third-party risk management becomes an integral part of business strategy and organizational culture.

• Regularly review risk appetite and adapt TPRM policies to technological evolution
• Invest in tools for automated monitoring and assessment of third-party risks
• Ensure transparency and collaboration with AI/ML providers
• Involve the board and top management in strategic decisions regarding technology partnerships

By strengthening governance, integrating TPRM into business processes, and continuously adapting to new risks, organizations can turn digital complexity into a competitive advantage and ensure business continuity in the AI era.

(This material was assisted by an AI tool and reviewed by our team before publishing).