As AI in finance shifts from advising to acting, institutions face a speed–trust paradox. Using MAS' Safeguards for Agentic Finance at Runtime (SAFR) framework as a lens, this discussion explores why the data moat must evolve from volume to an operational foundation that carries trusted identity, mandate, disposition and audit data across agents, workflows and jurisdictions.

As APAC financial institutions scale AI, leading firms are moving beyond siloed tools to capture a true AI Dividend. Grounded in new Atlassian & Mandala research, learn how frontier institutions are unifying business teams and using AI capacity gains to accelerate incident response, automate audit-readiness, and achieve operational resilience.

Financial crime doesn't operate in silos, yet most fraud detection tools do. Today's landscape is filled with point solutions: KYC platforms that stop at onboarding, AML engines focused on transaction monitoring, and network graph tools that excel technically. Fraud signals are everywhere, but data remains fragmented. AI Fraud Surveillance unifies financial, qualitative, and network signals into a single view, enabling fraud detection before it happens, not after.