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Compliance research & insights

Weekly analysis on AML, KYT, KYA and the changing RegTech landscape.

What is AML? Understanding Anti-Money Laundering and why it matters

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.

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How AML workflow automation improves compliance efficiency

Faster onboarding, structured escalations, centralised visibility, and consistent reviews — workflow automation moves AML operations from manual coordination to scalable infrastructure.

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Why manual AML processes create compliance risks

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.

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How to build an efficient AML compliance workflow

Fragmented systems, manual reviews, and disconnected approvals create compliance risk as you scale. Workflow-driven AML operations centralise visibility and reduce bottlenecks.

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AI in compliance workflows: accountability becomes the new infrastructure requirement

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.

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When compliance failures become workflow failures: APAC AML enforcement 2025–2026

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.

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WIDTH unified platform: full capability overview

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.

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Event-driven monitoring is replacing calendar-based reviews

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%.

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DNFBP AML compliance: what professional services firms must get right in 2026

DNFBPs face mounting regulatory pressure. Abu Dhabi fined 29 institutions in H1 2025. Australia's Tranche 2 arrives in 2026. Is your firm ready?

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Singapore’s AI agent framework: what compliance teams must know

42% of analyst time is spent on tasks AI can automate. IMDA's framework requires upfront risk scoping, human accountability, and technical controls.

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The crypto travel rule in 2026: from regulatory novelty to operational baseline

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.

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Beyond identity: why know your transaction is now the front line of crypto compliance

Identity verification alone cannot uncover real risk. Transaction monitoring — velocity patterns, mixer usage, cross-chain flows — is where compliance meets reality.

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Who answers for the agent? governing agentic AI in the fight against financial crime

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?

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Who authorised that? the case to know your agent in financial crime prevention

AI agents now handle KYC reviews and transaction monitoring autonomously. The KYA framework defines how to assess, monitor, and audit AI agent trustworthiness.

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The deepfake reckoning: why traditional KYC is no longer enough

Deepfake attacks surged 783%. Virtual camera attacks up 2,665%. Fraudsters create 15 million fake accounts in minutes. Traditional KYC cannot keep pace.

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Know your agent: the next frontier in financial crime compliance

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%.

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How WIDTH addresses these challenges
KYC/KYB Onboarding →
Identity verified in under 30 seconds, one API
AML Monitoring →
AI triage cuts false positives up to 95%
Fraud Detection →
100+ fraud typologies scored in under 100ms

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