From Revenue to Reputation: Is Fraud Damaging Your Business?
Fraud targeting telcos has always existed. What’s changed is how it’s executed, how fast it scales, and how much is at stake.
As device values rise and fraud-as-a-service lowers the barrier to entry, telcos are facing a new wave of sophisticated, high-volume attacks — from subscription fraud to device theft rings — that directly erode revenue and brand trust.
In this webinar, three of Provenir’s specialists in telco fraud sit down to cut through the noise: what the threat landscape actually looks like right now, why telcos have become a prime target, and what effective fraud prevention looks like in practice.
What we cover:
Subscription and device fraud: the mechanics, the motivations, and why the problem has grown so fast.
Why telcos are in the crosshairs now: rising device values, complex technology estates, and regulatory pressure are creating a perfect storm.
The double cost of fraud: direct revenue loss and the harder-to-measure reputational damage that follows.
The solutions, processes, and technologies that are working, and what separates a reactive approach from a resilient one.
On-Demand Webinar What if you could spot first-party fraud before it became a loss event?
First-party fraud has rapidly evolved from isolated organised crime into a social trend amplified by technology and social media.
Today’s fraud landscape in the Nordics reflects three distinct behavioural personas: Criminal Operators, Opportunists, and Intentional Misrepresentation. Each represents unique behavioural signatures, risk patterns, and detection challenges.
Provenir’s Mike Holmes and Jason Abbott join Ola Sundell of Digital Banking Strategy Talk to unpack each persona with real-world context, behavioural risk indicators, and practical, AI-enabled detection frameworks that help organisations detect, adapt, and respond – all while maintaining customer experience and compliance.
What to expect
Three very different first-party fraud personas and the behaviours that define them
Early indicators that surface first-party fraud before losses materialise
AI-enabled detection using profiling, enrichment, and graph analytics
How to calibrate friction to reduce fraud without harming customer experience
Navigating Auto Lending in 2026: Speed, Agility, Visibility, at Your Fingertips
If you’re a technology or risk leader in the auto lending industry, your world can often feel like you’re living in a constant state of quickly shifting gears. Everything from markets, fraud risks, and customer expectations are constantly in motion.
Join us in this on-demand webinar to hear from industry expert, Christopher Mahanna, CISSP, for a practical and casual conversation on the reality of auto lending today. We’ll dig into where technology can provide a lift in operations and risk.
You’ll learn:
How to build a faster, smarter, more adaptive decisioning process
How to strengthen risk and fraud controls
How to future-proof operations with modular technology modernizations
We’re looking forward to sharing how you can supercharge your decisioning engine which will enable you to make fast (not furious) decisions.
Stop Fraudsters in Their Tracks – Before They Strike
Watch Our On-Demand Demo: Real-Time Fraud Prevention That Actually Works
Fraud attempts are up 70% year-on-year, and traditional systems can’t keep pace. See how Provenir’s AI-powered platform helps financial institutions detect and prevent fraud in real-time across every channel.
This demo is for you if you’re experiencing…
High false positive rates frustrating legitimate customers
Delayed fraud detection allowing losses to mount
Siloed systems creating blind spots fraudsters exploit
Inflexible fraud rules that can’t adapt to new threats
See How Leading Financial Institutions Are Winning the Fraud War
In this 45-minute demonstration, Principal Consultant Frédéric Dubout reveals why forward-thinking organisations are choosing Provenir’s revolutionary real-time risk decisioning platform.
What You’ll Learn:
Real-time, multi-layered fraud detection with advanced machine learning models
Low-code/no-code orchestration to build and adapt fraud strategies quickly
Dynamic decisioning that adapts to emerging threats across any channel
Integrated intelligence from third-party data sources (device, behavioural, identity, and transaction)
Rethinking Fraud Prevention in the Middle East & Africa
Fraud is accelerating across the Middle East & Africa, with $4B lost annually in banking fraud and 1 in 4 digital banking customers experiencing fraud attempts. Telecom operators in the region are also facing rising losses as fraudsters exploit gaps in traditional prevention methods.
Traditional fraud prevention systems—often reliant on static rules and siloed data—are no longer sufficient.
To combat this escalating threat, banks and telcos in MEA must embrace real-time, AI-driven risk decisioning and a holistic fraud strategy that integrates behavioural analytics, network intelligence, and collaborative data ecosystems. The time to act is now: as digital adoption accelerates, so too must innovation in fraud prevention.
Listen to this webinar to learn:
Why static rules aren’t enough and how AI-driven fraud prevention adapts in real-time. The role of real-time data orchestration in creating a 360-degree risk view.
How machine learning is transforming fraud prevention by predicting and blocking threats.
Why an integrated fraud and risk decisioning platform is key to stopping emerging threats.
Optimizing Collections with Advanced Decisioning Solutions
The ability to efficiently manage the collections process is critical to maintaining profitability and customer relationships. But credit recovery remains a challenge for companies in North America. With regulatory scrutiny, rising credit losses, and customer expectations evolving rapidly, traditional collections methods fall short. Financial services providers must adapt to modern, data-driven strategies to stay competitive.
Join our exclusive live webinar on December 5th, “Optimizing Collections with Advanced Decisioning Solutions,” where we’ll explore how advanced analytics, machine learning, and cloud-native platforms can transform your collections strategies. Learn from industry experts as they share actionable insights on leveraging cutting-edge technology to predict customer behavior, tailor communications, and optimize recovery outcomes in real-time.
Key Takeaways
Understanding the Modern Collections Landscape: Learn how rising operational costs, regulatory pressure, and customer demands are reshaping collections practices.
Harnessing Machine Learning in Collections: Discover how machine learning can improve recovery rates by predicting customer behavior and recommending the best treatments.
Optimizing Communication Channels and Timing: Uncover the power of advanced decisioning to choose the right message, channel, and time to engage delinquent customers effectively.
Boosting Profitability through Advanced Analytics: Explore real-world case studies demonstrating how integrating AI and data science leads to significant improvement in recovery rates.
Join us for this informative session to see the ways leading financial services providers are modernizing their collections approach to reduce losses, lower operational costs, and enhance customer experience.
The African market, characterized by rapid digital growth and increasing financial inclusion, is facing a surge in application fraud. Traditional fraud prevention methods are struggling to keep pace with the evolving tactics of fraudsters. This webinar will explore how a holistic onboarding decision platform can revolutionize fraud prevention in Africa.
We will discuss the key challenges of application fraud in the African context, including identity theft, synthetic fraud, and social engineering attacks. We will then delve into how a decision platform can address these challenges by:
Orchestrating rich data: Leveraging diverse data sources to gain a comprehensive view of applicants and identify suspicious patterns.
Creating complex rules: Developing sophisticated rules to detect anomalies and flag potential fraudulent activities.
Incorporating machine learning: Utilizing machine learning algorithms to continuously learn from new data and adapt to emerging fraud trends.
Enabling effective decisioning: Providing a case management system that facilitates efficient investigation and resolution of fraud cases.
By adopting a holistic approach with a decision platform, organizations can enhance their fraud prevention capabilities, protect their businesses, and ensure a positive customer experience in the dynamic African market.
Provenir Financial Executive Club: Strategies for Excellence in Dynamic Decisioning
Roundtable: Banking 2030 – Are You Ready?
When: 3rd December, 2024 Where: Great Northern Hotel, London
The future of banking is set for a significant transformation, driven by the relentless advance of digitalisation and emerging technologies such as artificial intelligence (AI), machine learning (ML) and personalisation. By 2025, 77% of banks are expected to adopt AI, enhancing efficiency and delivering more personalised customer experiences.
These innovations not only enhance operational efficiency but also reshape customer experiences, focusing on personalised services and seamless interactions. The time to adapt is now.
We are honoured to have Professor Lisa Short as our expert speaker. Professor Short’s forward-thinking digital expertise and relentless passion for advancing futuristic technology have earned her the respect and admiration of peers around the world.
Key Discussion Points:
How AI and ML are reshaping banking operations and customer interactions
Adapting to evolving regulations while embracing innovation
The role of sustainable finance and ESG in responsible banking
Preparing for the rise of embedded finance and frontier technologies
Format:
11:45am – Keynote from Professor Lisa Short
12:30pm – Roundtable discussion and three course lunch is served
3:00pm – Official close and summary
Register your interest here
Professor Lisa Short
Professor Lisa Short is recognised as one of the top thought leaders and influencers in the world to follow for her work in digital tech, blockchain, crypto assets and EdTech. Lisa is a preeminent innovator, systemic change digital technology analyst, strategist & design ecosystem thinker with vast international experience founding & managing multiple companies and significant cutting-edge digital technology, value chain improvement projects, across different industry segments, and global markets including UK, APAC, Africa, Singapore, Europe & UAE.
The Provenir Thought Leadership Roundtable Series is designed to convene industry visionaries, C-level executives, and thought leaders in the financial sector for insightful discussions on redefining risk decisioning strategies. The series aims to cultivate a collaborative environment for sharing forward-thinking perspectives, exploring innovative approaches, and shaping the future of risk decisioning in an era of rapid technological evolution and changing consumer expectations.
Jason Abbott
Mark Jackson
Frédéric Dubout
