Fraud & AML
Strategic planning for Fraud & AML starts with knowing where you stand
Financial crime is moving faster than most institutional defenses were built to handle. The threat environment has shifted, the technology decisions are significant, and the pressure to connect controls across fraud, AML, and cyber has never been higher. We give fraud and AML leaders the research, benchmarks, and tools to go into that process prepared.
The topics that matter most going into planning season
The areas where fraud and AML leaders are making their biggest investment decisions this planning cycle.
AI and automation in financial crime operations
AI is changing both the threat and the defense. Institutions planning to scale AI-driven detection need a clear view of where peers are investing and what is delivering results in production.
Identity fraud and synthetic identity
Deepfakes, mule networks, and synthetic identity creation are outpacing the detection systems built to catch them. Planning decisions made now determine whether defenses keep pace.
Real-time payment fraud and scam prevention
Real-time payments have changed the fraud landscape. The irreversibility of instant payments raises the stakes for detection and the investment required to stay ahead.
Unified fraud, AML, and cyber defenses
Criminal networks operate across fraud, AML, and cyber simultaneously. Siloed defenses leave gaps by design. The planning question is how to connect controls without overhauling everything at once.
Cross-institutional intelligence sharing
Fraud types like money mule networks and authorized payment scams are cross-institutional by design. No single institution holds the full picture. Collaborative intelligence is becoming a strategic capability.
What's on your agenda
The topics that matter most going into planning season
The areas where fraud and AML leaders are making their biggest investment decisions this planning cycle.
AI and automation in financial crime operations
AI is changing both the threat and the defense. Institutions planning to scale AI-driven detection need a clear view of where peers are investing and what is delivering results in production.
Identity fraud and synthetic identity
Deepfakes, mule networks, and synthetic identity creation are outpacing the detection systems built to catch them. Planning decisions made now determine whether defenses keep pace.
Real-time payment fraud and scam prevention
Real-time payments have changed the fraud landscape. The irreversibility of instant payments raises the stakes for detection and the investment required to stay ahead.
Unified fraud, AML, and cyber defenses
Criminal networks operate across fraud, AML, and cyber simultaneously. Siloed defenses leave gaps by design. The planning question is how to connect controls without overhauling everything at once.
Cross-institutional intelligence sharing
Fraud types like money mule networks and authorized payment scams are cross-institutional by design. No single institution holds the full picture. Collaborative intelligence is becoming a strategic capability.
Fraud & AML strategic planning for 2027
Strategic planning follows a traditional framework. The number of steps varies by organization, but the underlying process stays the same. We’ve highlighted a range of resources below to support each stage.
Current State Assessment
- Where is the fraud and financial crime AI market heading and what should I be tracking to elevate my organization’s defenses?
- Which financial crime types are generating the largest losses and risk, and how does that align with the industry?
- How effective and efficient is my fraud and financial crime technology stack in delivering risk management and customer trust? What gaps can AI adoption address?
Report
Beyond the Claim: How Leading Financial Institutions Are Reimagining Scam Risk Management
A report on how leading institutions are rethinking scam risk management, from detection through to customer reimbursement and prevention.
Report
Real-Time Payments: Three-Year Outlook and Sentiments From Fraud Executives
Research on how fraud executives are planning for real-time payments risk over the next three years, covering strategy, investment, and operational readiness.
Strategy
- How is AI evolving the current threat environment? What steps are key to appropriately mitigate those threats?
- How can we use AI to orchestrate multi-layered defenses against evolving financial crime while minimizing customer friction?
- How can AI unlock process optimization and modernize my operations?
Fraud Intelligence Peer Network
An intelligence-sharing network for fraud and AML leaders. Track emerging threats, share peer intelligence, and stress-test your strategy against what others are seeing in the market.
The Real Cost of AI Deployments: A Framework for Banking Leaders
Hear from our advisors on the true cost of AI in banking: what programs cost in production, how to measure returns, and how to build a case that holds up to leadership scrutiny.
Top Trends in Fraud and AML
Datos Insights’ annual read on the fraud and AML trends shaping institutional priorities, investment decisions, and technology strategies for the year ahead.
AI use case compendium
A practical library of how institutions are deploying AI in fraud and AML operations. Useful when pressure-testing your strategy and understanding where peers are investing.
Fraud and AML Fintech Spotlight
A quarterly Datos Insights series profiling emerging solution providers in fraud and AML. An independent read on where the vendor landscape is moving and which approaches are worth watching.
Orchestrating Multilayered Defenses
Everything we publish on fraud orchestration and AML in one place. Research and data on where the threat environment and vendor landscape are moving.
Market Navigator: Fraud-Prevention Solutions for Digital Onboarding
An independent Datos Insights read on the fraud-prevention vendor landscape for digital onboarding, covering solution capabilities, market positioning, and selection criteria.
Goals & Priorities
- How do I prioritize competing investment decisions within fraud and financial crime against the broader needs of the organization?
- How do I make the case for AI investment to leadership?
- How do I re-engineer my organization and upskill my team for the year ahead?
Strategic Priority Blueprint
Most institutions go into planning season with a strong point of view on where they need to go. What’s harder to know is how that stacks up against peers: where the gaps are, where priorities are misaligned with execution, and where to focus first.
The Strategic Priority Blueprint is a 10-minute diagnostic that answers those questions. Complete the survey and you’ll receive a capability prioritization matrix showing where to focus your resources, a peer comparison chart mapping your priorities against the market, and curated Datos Insights research for your highest-priority areas.
Strategic Priorities – Alignment to Market
Execution
- How do I evaluate the buy vs. build question? And how do I identify, distinguish, and select the right technology partners for my organization?
- How do I build the right team and establish a credible budget and timeline for AI initiatives?
- What governance models should guide my AI development, validation, and deployment?
Financial Crime & Cybersecurity Forum
September 15 to 16, 2026. Charlotte, NC. Two days of proprietary research, peer case studies, and candid discussion on the strategies and technologies shaping financial crime prevention.
RFP library
Advisor-built RFP templates for fraud and AML vendor selection. A structured starting point that covers the right questions from the outset.
Fraud Intelligence Peer Network
An intelligence-sharing network for fraud and AML leaders. Track emerging threats, share peer intelligence, and stress-test your strategy against what others are seeing in the market.
The Planning Journey
A planning framework built for this cycle
We help you ground each step of your planning process in threat intelligence, peer institution benchmarks, and an independent read on where the vendor landscape is heading. Each resource below maps to a stage of your planning process and the specific questions it raises.
Current State Assessment
Scan what's changed in the market, competition, and regulation
Strategy
Assess current capabilities and where you stand against peers
Goals & Priorities
Set objectives and decide where to invest for 2027
Execution
Turn goals into roadmaps, budgets, and accountability
Current State Assessment
- Where is the fraud and financial crime AI market heading and what should I be tracking to elevate my organization’s defenses?
- Which financial crime types are generating the largest losses and risk, and how does that align with the industry?
- How effective and efficient is my fraud and financial crime technology stack in delivering risk management and customer trust? What gaps can AI adoption address?
Report
Beyond the Claim: How Leading Financial Institutions Are Reimagining Scam Risk Management
A report on how leading institutions are rethinking scam risk management, from detection through to customer reimbursement and prevention.
Report
Real-Time Payments: Three-Year Outlook and Sentiments From Fraud Executives
Research on how fraud executives are planning for real-time payments risk over the next three years, covering strategy, investment, and operational readiness.
Strategy
- How is AI evolving the current threat environment? What steps are key to appropriately mitigate those threats?
- How can we use AI to orchestrate multi-layered defenses against evolving financial crime while minimizing customer friction?
- How can AI unlock process optimization and modernize my operations?
Network
Fraud Intelligence Peer Network
An intelligence-sharing network for fraud and AML leaders. Track emerging threats, share peer intelligence, and stress-test your strategy against what others are seeing in the market.
Webinar
The Real Cost of AI Deployments: A Framework for Banking Leaders
Hear from our advisors on the true cost of AI in banking: what programs cost in production, how to measure returns, and how to build a case that holds up to leadership scrutiny.
Report
Top Trends in Fraud and AML
Datos Insights’ annual read on the fraud and AML trends shaping institutional priorities, investment decisions, and technology strategies for the year ahead.
Asset Library
AI use case compendium
A practical library of how institutions are deploying AI in fraud and AML operations. Useful when pressure-testing your strategy and understanding where peers are investing.
Report
Fraud and AML Fintech Spotlight
A quarterly Datos Insights series profiling emerging solution providers in fraud and AML. An independent read on where the vendor landscape is moving and which approaches are worth watching.
Topic hub
Orchestrating Multilayered Defenses
Everything we publish on fraud orchestration and AML in one place. Research and data on where the threat environment and vendor landscape are moving.
Report
Market Navigator: Fraud-Prevention Solutions for Digital Onboarding
An independent Datos Insights read on the fraud-prevention vendor landscape for digital onboarding, covering solution capabilities, market positioning, and selection criteria.
Goals & Priorities
- How do I prioritize competing investment decisions within fraud and financial crime against the broader needs of the organization?
- How do I make the case for AI investment to leadership?
- How do I re-engineer my organization and upskill my team for the year ahead?
Diagnostic
Strategic Priority Blueprint
Most institutions go into planning season with a strong point of view on where they need to go. What’s harder to know is how that stacks up against peers: where the gaps are, where priorities are misaligned with execution, and where to focus first.
The Strategic Priority Blueprint is a 10-minute diagnostic that answers those questions. Complete the survey and you’ll receive a capability prioritization matrix showing where to focus your resources, a peer comparison chart mapping your priorities against the market, and curated Datos Insights research for your highest-priority areas.
Strategic Priorities – Alignment to Market
Execution
- How do I evaluate the buy vs. build question? And how do I identify, distinguish, and select the right technology partners for my organization?
- How do I build the right team and establish a credible budget and timeline for AI initiatives?
- What governance models should guide my AI development, validation, and deployment?
Event
Financial Crime & Cybersecurity Forum
September 15 to 16, 2026. Charlotte, NC. Two days of proprietary research, peer case studies, and candid discussion on the strategies and technologies shaping financial crime prevention.
Asset Library
RFP library
Advisor-built RFP templates for fraud and AML vendor selection. A structured starting point that covers the right questions from the outset.
Network
Fraud Intelligence Peer Network
An intelligence-sharing network for fraud and AML leaders. Track emerging threats, share peer intelligence, and stress-test your strategy against what others are seeing in the market.
Talk to our advisors about your planning priorities
Planning season raises questions that data alone cannot answer. If you want an independent perspective on your priorities or a deeper look at any of the topics on this page, our advisors are here.
Talk to our advisors about your planning priorities
Planning season raises questions that data alone cannot answer. If you want an independent perspective on your priorities or a deeper look at any of the topics on this page, our advisors are here.