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Artificial intelligence is increasingly used in third-party risk management to help organizations manage scale, data volume, and ongoing monitoring requirements. When applied responsibly, it can improve efficiency and visibility. When applied without appropriate controls, it can weaken oversight or create misplaced confidence.
This webinar provides a practical look at how AI is being used today across key elements of third-party risk management, with a clear focus on supporting human-led research, analysis, and risk evaluation. The session will also explore real-world examples of how large, multinational organizations are using AI to support and streamline due diligence, alongside an overview of how Ethixbase360 is thoughtfully incorporating AI into its tools and workflows.
The discussion will examine where AI adds value across automation, analytics, and questionnaires, and how it can support risk prioritization while ensuring accountability, judgment, and decision-making remain human-driven.
Key Discussion Topics
- How AI is used in practice across screening, due diligence, and monitoring
- Managing large volumes of data and surfacing potential red flags
- Using AI to automate or review questionnaire responses and identify gaps
- Supporting focus and escalation without automating decisions
- Keeping transparency, oversight, and ownership with the business
This session is designed for compliance, legal, risk, and procurement teams who are evaluating or already using AI as part of their third-party risk management programs. Attendees will leave with a better understanding of where AI can add value today, where its limits are, and how to apply it in a way that strengthens oversight rather than diluting it.