Sumsub APAC State of Digital Trust:
AI Governance Benchmark
When AI acts for you, can you prove what it did? Our new APAC research reveals the Accountability Asymmetry in AI governance, and what it takes to prove every AI action.
of organizations say they can explain what their AI does
keep tamper-proof records of those decisions
would adopt a way to prove every AI action
About the report
AI has crossed from assisting people to acting for them. Accountability, a cornerstone of AI governance, has not kept pace. Most organizations in APAC can explain what their AI does. Far fewer can show how a decision was reached, and only a minority keep tamper-proof records. We call this gap the Accountability Asymmetry: high ownership of AI decisions, low ability to prove them.
Sumsub, in collaboration with the Singapore FinTech Association, surveyed 720 professionals across APAC in risk, compliance, technology, and operations roles. This report is about building verifiable governance chains, where every action taken by AI can be traced. Find out where the blind spots are, and what a more provable approach looks like.
Whoever builds the AI governance proof layer first sets the standard
The opportunity is to make autonomy provable, with every AI action tied to a verified identity and backed by audit trails. Demand is already there, and nearly every organization we surveyed would adopt a way to do exactly that. The standard for provable AI is still being written, and the first movers get to write it.
Get the AI Governance Benchmark
Read the full findings on the Accountability Asymmetry and what a workable AI governance framework requires.