Industry: Fraud
Intelligent Response to the Changing Face of Fraud
Intelligent Response to the Changing Face of Fraud
19th June, 2025
12:00 pm – 3:00 pm
The Ritz-Carlton, Dubai International Financial Centre
Fraudsters are evolving faster than ever, using AI-driven tools, synthetic identities, and social engineering to bypass traditional controls. As financial institutions and businesses across EMEA adapt to this growing threat, fraud prevention strategies must evolve beyond static rule-based models to embrace real-time decisioning, advanced analytics, and automation. This exclusive roundtable brings together industry leaders to explore how organisations can strengthen fraud defences, leverage AI-driven decisioning, and balance security with seamless customer experiences.
Key Discussion Points:
- Inside the Fraudster’s Toolkit – A demonstration of AI-powered tools used by criminals to bypass ID&V controls, exposing the latest fraud techniques and their impact on financial institutions.
- Building a Robust Defence Against Application Fraud – Best practices and cutting-edge technologies for real-time fraud detection and prevention, including how financial institutions can harness data, analytics, and automation to stay ahead of emerging threats.
- Optimising Customer Experience – How streamlining real-time decisions and leveraging intelligent data orchestration can reduce fraud risk while improving onboarding and customer retention.
12:00 pm – Keynote from Rakesh Tadathilveedu – TBC, Provenir
- 12:30 pm – Roundtable discussion and three-course lunch
- 3:00 pm – Official close and summary
Register your interest here
Rakesh Tadathilveedu
LATEST WEBINARS
NEWS: A technology-driven approach puts the brakes on auto-lending fraud
A technology-driven approach puts the brakes on auto-lending fraud
As fraud continues to surge across the auto lending space, lenders are turning to technology-driven solutions to protect their portfolios and customers. In this Auto Fin Journal article, we explore how real-time data, AI, and intelligent decisioning are redefining fraud prevention — enabling auto lenders to move faster, detect threats earlier, and make smarter, more confident decisions.
Technology-driven approach puts the brakes on auto-lending fraud
Intelligent Response to the Changing Face of Fraud Johannesburg
Intelligent Response to the Changing Face of Fraud
29th May, 2025
8:00 am – 11:00 am
The Maslow Hotel, Sandton, Johannesburg
Fraudsters are evolving faster than ever, using AI-driven tools, synthetic identities, and social engineering to bypass traditional controls. As financial institutions and businesses across EMEA adapt to this growing threat, fraud prevention strategies must evolve beyond static rule-based models to embrace real-time decisioning, advanced analytics, and automation. This exclusive roundtable brings together industry leaders to explore how organisations can strengthen fraud defences, leverage AI-driven decisioning, and balance security with seamless customer experiences.
Key Discussion Points:
- Inside the Fraudster’s Toolkit – A demonstration of AI-powered tools used by criminals to bypass ID&V controls, exposing the latest fraud techniques and their impact on financial institutions.
- Building a Robust Defence Against Application Fraud – Best practices and cutting-edge technologies for real-time fraud detection and prevention, including how financial institutions can harness data, analytics, and automation to stay ahead of emerging threats.
- Optimising Customer Experience – How streamlining real-time decisions and leveraging intelligent data orchestration can reduce fraud risk while improving onboarding and customer retention.
8:00 am – Keynote from Frédéric Dubout – Fraud Specialist, Provenir
- 8:30 am – Roundtable discussion and breakfast
- 11:00 am – Official close and summary
Register your interest here
Frédéric Dubout
LATEST WEBINARS
Intelligent Response to the Changing Face of Fraud
Intelligent Response to the Changing Face of Fraud
Wednesday 14th May, 2025
11:45 am – 3:00 pm
Charlotte Street Hotel, London
Fraudsters are evolving faster than ever, using AI-driven tools, synthetic identities, and social engineering to bypass traditional controls. As financial institutions and businesses across EMEA adapt to this growing threat, fraud prevention strategies must evolve beyond static rule-based models to embrace real-time decisioning, advanced analytics, and automation. This exclusive roundtable brings together industry leaders to explore how organisations can strengthen fraud defences, leverage AI-driven decisioning, and balance security with seamless customer experiences.
Key Discussion Points:
- Inside the Fraudster’s Toolkit – A demonstration of AI-powered tools used by criminals to bypass ID&V controls, exposing the latest fraud techniques and their impact on financial institutions.
- Building a Robust Defence Against Application Fraud – Best practices and cutting-edge technologies for real-time fraud detection and prevention, including how financial institutions can harness data, analytics, and automation to stay ahead of emerging threats.
- Optimising Customer Experience – How streamlining real-time decisions and leveraging intelligent data orchestration can reduce fraud risk while improving onboarding and customer retention.
11:45 am – Arrival and welcome drink
- 12:00 pm – Live ‘fraudster in action demo’ from Jason Abbott – Fraud Specialist, Provenir
- 12:30 pm – Roundtable discussion and three-course lunch
- 3:00 pm – Official close and summary
Register your interest here
Jason Abbott
Fraud Specialist, Provenir
LATEST WEBINARS
The State of AI, Risk, and Fraud in Financial Services
The State of AI, Risk, and Fraud in Financial Services
The financial services industry is facing an inflection point. In 2025 (and beyond), staying ahead isn’t just about managing credit risk and preventing fraud – it’s about leveraging AI, unifying data, and modernizing decisioning systems to unlock new growth opportunities.
To better understand the challenges and priorities shaping the industry worldwide, we surveyed nearly 200 key decision-makers among financial services providers globally. The results highlight a pressing need for AI-driven insights, better data orchestration, and an end to fragmented decisioning strategies. This blog breaks down the key takeaways from the survey results and what they mean for the future of decisioning and your business.
Credit Risk and Fraud Prevention:
The Industry’s Top Concerns
The ability to manage credit risk and prevent fraud effectively remains a top priority, especially in an increasingly complex, digital economy. Forty-nine percent of our respondents identified managing credit risk as their biggest issue, and 48% cited detecting and preventing fraud as a primary concern, a noticeable increase from last year’s survey (43%).
While these issues aren’t new, their growing intensity underscores the fact that traditional approaches to risk decisioning just aren’t sufficient any more. Financial services providers are facing more sophisticated fraud threats, rising economic uncertainty, and increasing regulatory scrutiny – making real-time, AI-driven decisioning more critical than ever.
The escalation of fraud in particular is not shocking. While the industry leverages AI and automation for smarter decisioning, fraudsters are also utilizing advanced tech for more complex schemes, creating a never-ending loop. Identity fraud, deepfake technology, synthetic identities, and account takeovers are evolving – quickly. But at the same time, demanding consumers are pushing for seamless digital experiences, with instant approvals and frictionless onboarding becoming the bare minimum. This sort of demand creates a delicate balancing act – how do you ensure the proper security without adding unnecessary friction to the customer journey?
Providers relying on rule-based fraud detection alone will struggle to keep up. Fraud patterns shift in real-time, and static rules can’t adapt quickly enough. This showcases the urgent need for AI-powered fraud prevention solutions that can analyze behavioral data, detect anomalies, and predict fraud with greater accuracy. And AI-powered fraud detection doesn’t just stop fraud – it can also help reduce false positives, ensuring that legitimate customers aren’t caught in security roadblocks.
On the other side of the coin, managing credit risk has always been central to financial services providers. But economic volatility, including rising interest rates, inflation concerns, and shifting regulatory policies, means lenders must be more accurate than ever when assessing creditworthiness. Traditional credit scoring models often fail to provide a complete picture of a borrower’s risk profile, and without real-time insights, you may be missing out on prime opportunities for upsell/cross-sell and other revenue gains across the customer lifecycle. Not to mention the very real, very present risk of delinquencies and credit losses.
Over 30% of respondents in our survey cited limited data access as a challenge in risk
decisioning. Without access to real-time financial data, alternative credit signals, and behavioral analytics, making inaccurate credit decisions could either expose you to bad debt or cause you to reject creditworthy customers. Or both.
The Need for a Holistic Approach:
Moving Beyond Reactive Risk Management
Real-time AI-powered decisioning:
Instead of relying on static models, consider AI-driven models that continuously learn and adapt to new fraud patterns and credit risks.Integrated fraud and credit risk teams:
Fraud and credit risk are often managed in separate silos, leading to inefficiencies and missed insights. A unified decisioning approach enables better risk assessment, faster response times, and enhanced customer experiences.Expanding data access and alternative data integration:
The ability to incorporate real-time transactional data, open banking insights, and behavioral analytics is critical for both fraud prevention and credit risk assessment.
Real-time AI-powered decisioning:
Instead of relying on static models, consider AI-driven models that continuously learn and adapt to new fraud patterns and credit risks.Integrated fraud and credit risk teams:
Fraud and credit risk are often managed in separate silos, leading to inefficiencies and missed insights. A unified decisioning approach enables better risk assessment, faster response times, and enhanced customer experiences.Expanding data access and alternative data integration:
The ability to incorporate real-time transactional data, open banking insights, and behavioral analytics is critical for both fraud prevention and credit risk assessment.
The Urgent Need for AI:
Investment Priorities in 2025 and Beyond
- 52%Risk decisioning solutions
- 42%New data sources and orchestration
- 33%Integrated fraud and decisioning solutions
The growing emphasis on AI decisioning reflects a shift from reactive risk management to proactive, real-time decisioning. Financial services providers recognize that AI can enhance credit risk assessments, strengthen fraud detection, and improve operational efficiency—but only if it’s powered by high-quality, integrated data.
While AI adoption is accelerating, poor data integration remains a significant barrier. Without seamless data orchestration, AI models risk being ineffective, leading to missed opportunities and inaccurate decisioning. If you’re investing in AI, you must prioritize data quality and accessibility to ensure these solutions deliver measurable impact.
In 2025, success in AI-driven risk decisioning (and maximizing ROI in AI investments) will depend on not just adopting AI, but implementing it with the right data strategy — one that fuels better insights, faster decisions, and a more seamless customer experience.
The AI Hurdles:
Why Adoption Isn’t as Simple as It Sounds
- 52%Data quality and availability
- 48%Initial costs and unclear ROI
- 47%Integration challenges
- 42%Infrastructure requirements
- 40%Regulatory compliance concerns
Implementing AI requires a solid foundation of clean, integrated data, robust infrastructure, and clear governance. The significant data challenge highlights the need for the seamless orchestration of new and alternative data sources (which can be easily integrated into decisioning) to truly unlock AI’s full potential.
One way to ensure success is to start small and scale smartly. To mitigate risk and ensure measurable impact, consider starting with AI projects that offer quick ROI (credit scoring, automated customer decisioning) or may be slightly less regulated (fraud detection). Try a phased approach, focused on early wins, continuous optimization, and scalable infrastructure, in order to build confidence in AI-driven strategies while demonstrating tangible business value.
Breaking Down Silos:
The Shift Towards Unified Decisioning
- 52%Operational inefficiencies
- 40%Added costs
- 35%Disparate, siloed technology
Slower risk assessments, challenging fraud detection and inconsistent customer experiences are other outcomes from operational inefficiencies – when risk, fraud, and credit teams operate in silos, financial institutions miss out on better collaboration, faster approvals, more accurate risk mitigation, and growth opportunities.
But by consolidating risk decisioning into a single, end-to-end platform, you can:
- Improve cross-team collaboration between fraud, credit risk, and compliance teams
- Enable real-time, AI decisioning for faster and more accurate risk assessments
- Enhance the customer experience by reducing friction and improving approval times
- Maximize value across the customer lifecycle
- Optimize growth for long-term success
Real-Time Decisioning and Personalization:
The New Frontier
- 44%Eliminating friction across the customer lifecycle
- 44%Increasing customer lifetime value
- 36%Hyper-personalization
Traditional, batch-based decisioning models aren’t enough in an era where customer expectations are shaped by instant approvals and personalized digital interactions. AI-driven decisioning can improve risk assessments, but also enables proactive engagement and tailored offers that drive loyalty and maximize customer value.
To meet evolving consumer demands, adopt real-time, AI-powered decisioning models that ensure a more customer-centric approach, and which can:
- Adapt dynamically to customer behavior in real time
- Eliminate unnecessary friction while maintaining strong risk controls
- Leverage hyper-personalization to increase engagement and lifetime value
A Call to Action for Financial Institutions
Invest in unified decisioning platforms
to eliminate silos, reduce inefficiencies, and improve risk assessment accuracyLeverage AI strategically
by focusing on solutions that offer clear ROI and operational impactPrioritize data integration and quality,
ensuring seamless orchestration of diverse data sources to power more intelligent decisioning
The future of risk decisioning isn’t about isolated fixes—it’s about a holistic, AI-powered approach that aligns data, automation, and decisioning processes to maximize impact. Those that embrace this transformation will be better positioned to mitigate risks, drive growth, and deliver superior customer experiences.
Check out the full survey report for detailed responses.
Ready to shape the future of your decisioning with AI?
Exclusive Event: Smarter Strategies for Card Issuers
Smarter Strategies for Card Issuers:
How to Navigate Risk, Fraud, and Portfolio Performance with Advanced Analytics
Join us live in Wilmington for cocktails and conversation
March 26th, 4:30 – 6:30pm
Tonic Seafood & Steak, Wilmington, DE
Join us for an exclusive Cocktail Hour & Discussion on March 26th in Wilmington, designed for credit card issuers and financial services providers in the area. This intimate networking event offers a unique opportunity to connect with industry peers, exchange insights, and explore innovative strategies to navigate today’s evolving risk landscape.
Amid shifting market conditions—including decreasing mortgage rates and the challenge of managing high-interest receivables—card issuers must continuously refine their approach to fraud prevention, portfolio management, and collections. But it’s not always easy to do – in our recent survey of nearly 200 key financial services decision makers, nearly 60% of respondents said it was difficult to deploy and maintain their risk decisioning models and over half said being able to easily integrate data sources into decisioning processes is their biggest data challenge.
In a short presentation followed by an interactive discussion, Provenir will highlight how advanced analytics, data orchestration, and AI-driven decisioning can empower issuers to:
- Enhance fraud detection and prevention through better data integration and real-time decisioning (nearly 50% of our respondents said that managing credit risk and detecting/preventing fraud are their biggest challenges)
- Optimize portfolio management by balancing performance ratios and mitigating balance attrition
- Get ahead of delinquencies with predictive insights and proactive risk strategies
Whether you’re looking to strengthen fraud defenses, improve customer lifecycle management, or maximize portfolio profitability, this discussion will offer actionable takeaways to help future-proof your credit card business and provide key guidance on how to deploy advanced analytics in your business.
Enjoy curated cocktails, thought-provoking conversation, and an evening of valuable industry connections. Space is limited—reserve your spot today!
Register your interest here
LATEST WEBINARS
DATA SHEET: Fraud for Telco
Provenir: Application Fraud for Telcos
ADDITIONAL RESOURCES
NEWS: 2025 New Global Survey
New Global Survey Shows Nearly Half of Financial Services Executives Struggling to Manage Credit Risk and Detect and Prevent Fraud
and fraud prevention strategies in 2025
Parsippany, NJ – February 12, 2025 – A new survey shows nearly half of all financial services executives are struggling with managing credit risk and detecting and preventing fraud. The survey also shows many are revamping their credit risk decisioning and fraud prevention strategies in 2025, with AI playing a prominent role.
These are among the key findings from the survey of nearly 200 key decision makers at financial services providers globally to understand their risk decisioning and fraud challenges across the customer lifecycle, decisioning investment priorities, and AI opportunities. The survey was conducted by Provenir, a global leader in AI Decisioning solutions.
Over half of all respondents plan to invest in risk decisioning solutions and AI/embedded intelligence in 2025 and beyond. At present, nearly 60% of respondents say they find it difficult to deploy and maintain risk decisioning models. 55% of executives recognize the value of AI to make streamlined strategy decisions, and in its ability to provide AI-powered performance improvement recommendations, and 53% see the value in the ability to automatically tune models to make better, more accurate decisions.
Key priorities for customer and account management are real-time, event-driven decisioning (65%), eliminating friction across the customer lifecycle (44%), and increasing customer lifetime value (44%).
Over half of respondents agree the biggest data challenge they face is being able to easily integrate data sources into decisioning processes.
Survey insights also reveal the pitfalls of operating multiple decisioning systems across the customer lifecycle. 59% of respondents say this is causing a lack of seamless data flow and unified insights, while 52% say it creates operational inefficiencies. Additionally, 28% said it contributes to an inconsistent customer experience.
When asked about data and fraud, 37% say they struggle with effective data orchestration for application fraud prevention, specifically in not being able to easily ingest and integrate new data sources, while 36% are challenged in using AI and machine learning for fraud prevention. Nearly one-third of respondents agree that the most important aspect for comprehensive fraud strategies is the ability to break down data silos between fraud and credit risk teams.
“Financial institutions are keenly aware of today’s increasingly complex threat landscape and must adopt new approaches for improved risk decisioning and fraud prevention across the customer lifecycle while providing frictionless and personalized customer experiences,” said Carol Hamilton, Chief Product Officer, Provenir. “With an AI decisioning platform more closely aligning credit and fraud risk teams, financial services executives can ensure holistic, end-to-end decisioning with a complete view of customers across the entire lifecycle.”
The survey was conducted November-December 2024; respondents were based in North America, EMEA, Latin America and Asia Pacific, holding the titles of manager, director, vice president, or above.
The full report of the survey findings can be found here.
NEWS: Financial Services Trends for 2025
Financial Services Trends for 2025
Financial institutions will continue to face a complex set of both challenges and opportunities in 2025, including customer management, tech advancements, and the always-evolving world of fraud prevention. How can you position your organization for success this year? Check out the article from Finextra, featuring Provenir’s EVP of North America, Kathy Stares, for all of the insights.