Trust, Privacy & the Future of Finance
Shaping private collective intelligence for finance & business
DeCompute 2026, Singapore
HOSTED BY
Location
Singapore
EVENT DETAILS
Join Silence Laboratories to explore how financial institutions can build trusted AI, fight fraud together and unlock more value from data while protecting customer privacy.
Through regulatory perspectives, industry panels and a live demo, we’ll examine what it takes to put collaboration into practice across institutions and borders.
What we’ll cover
Trusting AI agents: Consent, delegation and accountability as agents move from answering questions to taking action.
Fighting fraud together: Connecting signals across banks, telcos and platforms while protecting customer data.
Private data exchange: Sharing insights to improve onboarding, credit and risk decisions.
Agents working across institutions: Enabling multi-agent workflows with privacy, interoperability and clear oversight.
Cross-border finance: Building trusted data flows for payments, open finance and trade across markets.
Live demo: Private entity resolution
See how organisations can match customer and business records while keeping sensitive information private, and how this fits into existing onboarding and risk checks.
Who it’s for
Leaders and practitioners across financial services, AI, fraud prevention, risk, compliance, data and payments.
AGENDA
09:30–10:00
Registration & coffee
10:00–10:05
Welcome Note
10:05–10:35
Regulator Keynote: Trust as Infrastructure for the Future of Financial Services
Keeping governance in step with AI without slowing innovation; where expectations for Agentic AI use in financial institutions are heading; public–private collaboration against scams and financial crime (e.g. COSMIC's next phase)
10:35–11:05
What it takes to trust an agent
AI moving from answering questions to taking actions (payments, onboarding, negotiating); consent, delegation: proving what an agent did and on whose authority; letting agents work with sensitive data without exposing it
11:05–11:50
Fighting fraud together: sharing signals, not customer data
AI-powered scams and money-mule networks no single institution can see; joining up signals across banks, telcos and online platforms; balancing information sharing with customer privacy; acting faster without cutting off legitimate customers
11:50–12:00
Short Break
12:00–12:45
Enrichment without exposure: the next model for data exchange
Where outside data pays off (onboarding, credit, merchant and counterparty risk); matching the same person or business across messy records; exchanges where partners trade insights rather than raw records; consent, data protection and commercial models that get partners to join
12:45–13:00
Live demo: Private entity resolution
Two organisations match messy, real-world records (names, addresses); what each side learns and what never leaves its owner; how it slots into existing onboarding and risk checks
13:00–13:45
Lunch + Networking
13:45–14:30
When agents work with other agents: multi-agent workflows across institutions
Early use cases (KYC refresh, trade finance, investigations, servicing); agents from different firms collaborating while each keeps its data private; audit trails and accountability as work passes between agents; managing third-party agents, interoperability
14:30–15:00
New corridors, same trust problem: data and payments across borders
New trade and payment corridors, and fraud/AML checks that keep pace with instant cross-border payments; trusted data flows; open finance across markets when data has to stay in-country; cross-border lending & trade finance
15:00–15:05
Closing remarks