MTW Shield protects revenue and transactions
Powered by Bliink, MTW Shield connects fraud detection, AML, payment monitoring and compliance into the platform.
Protect financial transactions and reduce risk without isolating fraud prevention from the rest of the business.
AI applies intelligent filtering, risk scoring and explainable intelligence where it creates maximum impact.
Financial crime is evolving faster than traditional fraud prevention
The rapid adoption of real-time payments, digital banking and AI is transforming financial services — while creating new fraud challenges for financial institutions.
Global fraud losses in 2025
Estimated annual fraud and scam losses worldwide.
Illicit financial activity
Estimated global volume of illicit financial flows.
Projected increase, 2024–2029
Expected rise in global fraud losses over the next five years.
Sources: Nasdaq Verafin Global Financial Crime Report; ACI Worldwide.
The challenge isn't more fraud. It's more complexity.
Financial institutions have invested heavily in fraud prevention — yet many still operate across disconnected systems, fragmented data and isolated workflows. As payment ecosystems grow more complex, institutions must detect threats faster, reduce costs and meet rising regulatory expectations.
Fragmented channels
Payment rails operate in silos with no shared risk context.
Rising investigation volumes
Alert volumes outpace analyst capacity across every channel.
AI processing costs
Running advanced AI on every transaction drives unsustainable costs.
Limited cross-channel visibility
Complex fraud patterns span channels that isolated systems cannot connect.
Intelligence before automation
Rather than replacing existing fraud platforms, Bliink AI enhances them — applying intelligence where it creates the greatest operational value.
Smart filtering
Reduce operational noise before advanced AI analysis — focusing resources where they matter most.
Any data. Any source.
Connect existing systems, payment channels and external data without replacing infrastructure.
AI where it matters
Fewer than 2% of transactions require advanced AI investigation. Bliink focuses AI where risk is highest.
Risk protection built into the business, not bolted on
Fraud detection
Catch suspicious activity in real time across channels.
Anti-money-laundering
Screening and monitoring aligned to regulation.
Payment monitoring
Watch every transaction for risk as it happens.
Compliance
Audit-ready controls connected to the whole platform.
One intelligence layer across the financial crime ecosystem
Bliink AI connects transactions, entities and behavioral signals across every payment rail — enabling financial institutions to identify complex fraud patterns that isolated systems cannot detect.
Blockchain settlements
Bank transfer rail
Cross-border messaging
High-value transfers
Card-based payments
Real-time domestic
Cross-channel intelligence transforms fragmented data into a unified risk picture — across every payment type and channel.
Built for modern financial crime prevention
AI-native architecture
Purpose-built for financial crime — not adapted from legacy systems.
Cross-channel intelligence
Connect risk signals across payment ecosystems for a unified view.
Smart filtering
Prioritize meaningful events before AI analysis — reducing noise and cost.
Real-time processing
Sub-second decisions across all payment rails and transaction types.
Regulatory alignment
Designed to meet evolving AML, KYC and fraud compliance requirements.
Seamless integration
Deploy without replacing existing fraud platforms or core infrastructure.
Measurable outcomes across every metric
Financial institutions deploying Bliink AI report significant improvements across fraud detection, operational efficiency and cost reduction.
Fewer false positives
Reduction in false positive rates, freeing analyst capacity.
Faster investigations
Improvement in investigation speed, accelerating case resolution.
Lower operational costs
Reduction in fraud operations costs through intelligent prioritization.
Higher fraud detection
Improvement in fraud detection rates across payment channels.
Trusted by financial institutions across the globe
Bliink AI is deployed across Tier 1 banks, payment processors and fintechs — delivering measurable results in live production environments.
Tier 1 Bank
40% reduction in false positives across retail and commercial payment channels.
Payment Processor
3x improvement in fraud detection rates within 90 days of deployment.
Digital Bank
60% faster investigations with full cross-channel transaction visibility.
Designed for the institutions shaping the future of finance
Bliink AI is built for organizations managing complex, multi-channel fraud risk at enterprise scale.
Banks & credit unions
Retail, commercial and private banking operations requiring enterprise-grade fraud prevention.
Payment processors
High-volume processors managing risk across card, ACH, wire and real-time payment rails.
Fintechs & digital banks
Fast-growing digital financial services requiring scalable, AI-native fraud infrastructure.
Global financial institutions
Multi-jurisdictional organizations requiring unified intelligence across geographies and channels.
Let's explore how Bliink AI fits your environment
A structured engagement designed to demonstrate value quickly — without disrupting existing operations.
Discovery session
Understand your current fraud landscape, pain points and strategic priorities.
Technical deep dive
Review architecture, integration approach and deployment model with your technical team.
Value assessment
Quantify expected impact on fraud rates, operational costs and analyst efficiency.
Pilot program
Deploy a targeted pilot to validate results in your live environment.
See MTW Shield for yourself
MTW Shield shares one intelligence layer with the whole platform
Connect once and every domain gets smarter. One assistant, one dataset, one security and identity foundation across your entire business.
Inside MTW Shield








See MTW Shield inside one connected platform
Book a demo and we'll show you how it fits the rest of your business lifecycle.
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