Weekly analysis on AML, KYT, KYA and the changing RegTech landscape.
Rapid growth turns AML compliance from a manageable function into an operational ceiling. The fintech companies that scale successfully treat compliance as a system — not a headcount problem.
Read Article →The hardest part of AML compliance at scale isn't understanding what regulators expect — it's managing the volume of work. Where bottlenecks come from, and how workflow visibility resolves them.
Read Article →AML stops criminals from disguising illegal funds as legitimate income. The pillar guide — what it covers, how money laundering works, the major regional regimes, and what compliance teams need to operate it well.
Read Article →Faster onboarding, structured escalations, centralised visibility, and consistent reviews — workflow automation moves AML operations from manual coordination to scalable infrastructure.
Read Article →Spreadsheets, email approvals, and disconnected reviews look manageable at first — but they compound into inconsistent reviews, missed escalations, weak audit trails, and rising human-error risk as you scale.
Read Article →Fragmented systems, manual reviews, and disconnected approvals create compliance risk as you scale. Workflow-driven AML operations centralise visibility and reduce bottlenecks.
Read Article →AI-assisted compliance becomes credible when institutions can reconstruct what the AI saw, what it changed, and who accepted the decision. From AML operations to agentic AI and KYA.
Read Article →MAS, HKMA and SFC are testing AML controls as connected workflows, not policy documents. WIDTH reviews recent APAC enforcement and what compliance leaders should do next.
Read Article →KYC, KYB, AML, fraud detection, and case management on one audit trail — built on a decade of Cynopsis Solutions compliance engineering, following Vernal Capital's October 2025 acquisition.
Read Article →MLROs face personal liability when periodic reviews miss risk changes. Event-driven monitoring triggers reviews on actual risk events — reducing false positives by 65–95%.
Read Article →DNFBPs face mounting regulatory pressure. Abu Dhabi fined 29 institutions in H1 2025. Australia's Tranche 2 arrives in 2026. Is your firm ready?
Read Article →42% of analyst time is spent on tasks AI can automate. IMDA's framework requires upfront risk scoping, human accountability, and technical controls.
Read Article →Illicit crypto topped $30 billion, accounting for 84% of illegal transaction volume. OKX paid $500M for AML failures. 85 jurisdictions now enforce the Travel Rule.
Read Article →Identity verification alone cannot uncover real risk. Transaction monitoring — velocity patterns, mixer usage, cross-chain flows — is where compliance meets reality.
Read Article →AI-enhanced fraud is 4.5x more profitable than traditional methods. 85% of compliance leaders cite AI accountability as their top concern. Who is responsible when AI fails?
Read Article →AI agents now handle KYC reviews and transaction monitoring autonomously. The KYA framework defines how to assess, monitor, and audit AI agent trustworthiness.
Read Article →Deepfake attacks surged 783%. Virtual camera attacks up 2,665%. Fraudsters create 15 million fake accounts in minutes. Traditional KYC cannot keep pace.
Read Article →Banks spend 80% of analyst time on alerts that turn out to be false positives. AI-native monitoring reasons about behaviour in context — cutting noise by 95%.
Read Article →500+ institutions across 180 jurisdictions use WIDTH to close the gap between reading and doing.