Financial institutions across APAC are under increasing pressure to effectively monitor communications for misconduct, with regulators like MAS, HKMA, and ASIC placing greater emphasis on culture and conduct risk.

This is compounded by significant operational challenges: the explosion of communication channels (voice, chat, mobile), the complexity of multilingual content, and the nuances of slang, emojis, and coded language. Traditional, keyword-based surveillance systems, often generating high volumes of false positives, are struggling to keep pace, making it difficult to pinpoint genuine risks.

This session examines these core challenges, exploring practical strategies and modern technologies, including AI, that can help firms enhance their surveillance frameworks. The panelists discuss how to move beyond simple keyword matching to better understand context and intent, reduce operational noise, and build a more effective and efficient surveillance function that satisfies regulatory expectations.

Access this on-demand webinar, hosted by Regulation Asia, to learn tactics on how to:

• Meet evolving regulatory expectations around conduct risk, culture, and effective supervision
• Tackle operational challenges by reducing surveillance noise and false positives across voice, chat, and mobile communications
• Enhance risk detection by better interpreting multilingual conversations, regional slang, non-textual cues like emojis, and coded behaviours to uncover true intent
• Build a robust governance and operational framework to support the adoption of new technologies including AI with clear human-in-the-loop oversight.