Generative AI in fraud management
Season 6 Episode 03
Transcript
Juan José Ríos (Host):
Financial fraud is constantly evolving and presents new challenges for institutions, which today face greater regulatory demands and the need to optimize their processes to detect and prevent fraud more efficiently.
In this context, generative artificial intelligence emerges as a fundamental tool, not only for automating repetitive tasks, but also for strengthening prevention systems and complying with regulations more effectively.
Welcome to Mundo Financiero Seguro. I'm Juan José Ríos.
In this episode, we will explore how generative artificial intelligence is transforming fraud management in financial institutions. We will analyze how this technology can offer innovative solutions to anticipate fraud, improve detection, adapt to new threats, and ultimately strengthen security in the sector.
To explore this topic in greater depth, I am joined by two experts:
- Álvaro Arzayus, Digital Fraud Prevention Product Manager at Plus TI, with over 15 years of experience in fraud prevention and control in the financial sector.
- William Vinasco, specialist in generative artificial intelligence and its application in security environments.
Welcome and thank you for joining us.
William Vinasco:
Thank you for the invitation. Let's talk about the fascinating world of generative artificial intelligence and how it is being used in fraud management models.
Álvaro Arzayus:
Thank you, Juan José, for inviting me to the podcast. Over the last few years, I have worked closely with financial institutions and have seen how generative artificial intelligence is beginning to have very specific applications in the field of fraud.
Juan José Ríos:
Álvaro, based on your experience working with fraud prevention managers and observing developments in this field, what would you say are the main limitations of traditional methods in the face of current threats? And how can institutions adapt to this rapidly changing environment?
Álvaro Arzayus:
Throughout my career, both within financial institutions and now on the side of technology partners, I have seen how risk conditions have evolved dramatically.
Today, monitoring, prevention, and cybersecurity areas are facing increasingly specialized fraud models. Fraudsters use advanced technologies, including artificial intelligence and machine learning models, to perfect their attacks.
This has created an ever-changing threat ecosystem. Traditional detection methods, based on static rules, are falling short in the face of this evolution, forcing institutions to rethink their approaches.
Juan José Ríos:
William, based on your experience in artificial intelligence, how does generative AI work in fraud detection, and what advantages does it offer over traditional approaches?
William Vinasco:
Generative artificial intelligence allows us to create predictive models and simulate fraud scenarios in real time. Today, we can analyze an attack as it happens, something that was not possible with traditional approaches, which required lengthy post-analysis processes.
These models make it possible to identify new patterns, emerging threats, and risk situations in real time, which represents a huge advantage over traditional methods. This is particularly relevant given the alarming increase in fraud and the millions in losses faced by many financial institutions.
Juan José Ríos:
Let's now turn to the strategic vision. What do you think leaders need to face this scenario? Álvaro, we're listening.
Álvaro Arzayus:
From a strategic perspective, there are several key points. The first is the exponential growth of fraud supported by new technologies, such as deepfakes or automated attacks using bots.
Another critical factor is budget. Many areas of prevention and monitoring rely on technology, and within IT budgets, only a small percentage goes to security and fraud. This forces leaders to optimize resources and carefully prioritize investments.
Finally, it is essential to balance protection with customer experience. Excessive controls create friction, but lax controls increase risk. The challenge lies in finding that balance.
William Vinasco:
Generative artificial intelligence transforms these challenges into opportunities. It allows attack scenarios to be created at low cost and models to be trained without requiring large specialized teams.
It also facilitates the creation of synthetic data, solving one of the biggest problems faced by organizations: the scarcity of data for testing. Today, around 70% of models are trained with synthetic data and only 30% with real data.
Another key point is the creation of digital twins of customers, which allows for personalized controls, reduced friction, and improved understanding of user behavior.
Juan José Ríos:
Let's now talk about anti-fraud operations. What are the main priorities in this area?
Álvaro Arzayus:
Anti-fraud departments process millions of transactions, each with multiple variables: device, geolocation, behavior, among others. This generates an enormous analysis workload with limited resources.
In addition, there are many false positives, which consume time and divert valuable resources. Added to this is the growing sophistication of criminals, who learn to evade traditional controls by fragmenting transactions or adjusting amounts so as not to generate alerts.
That is why it is essential to evolve towards dynamic, adaptive models that are not based solely on static thresholds.
William Vinasco:
Generative AI is crucial here. It enables real-time analysis, explains why an alert is generated, and detects hidden connections between transactions.
It also speeds up report generation. An analysis that used to take one or two days can now be done in minutes with the right prompts. In short, generative AI is profoundly transforming anti-fraud operations.
Juan José Ríos:
Let's now move on to continuing education. What is most necessary for professionals in the sector?
Álvaro Arzayus:
Although training programs exist, they tend to be very generic. Training a treasurer, a commercial manager, or a cybersecurity specialist is not the same thing.
Training must be ongoing, but also specific to each role and profile. In addition, it is essential to measure its effectiveness and use practical laboratories that allow for experimentation with real-life fraud scenarios.
William Vinasco:
Generative artificial intelligence stands out for its capacity for personalization. It allows the same training to be adapted to different levels: senior management, middle management, or operational staff.
It also facilitates the creation of simulators, phishing scenarios, forged documents, and interactive exercises that evolve based on user responses. This allows for much more effective and realistic awareness training.
Juan José Ríos:
To conclude, let's talk about innovation. What should the main priorities be?
Álvaro Arzayus:
One of the major challenges is evaluating new technologies before investing in them. There is also the regulatory challenge, especially in data protection, and the need to move from a reactive approach to a predictive and preventive one.
William Vinasco:
Generative AI brings creativity and innovation. It can act as another member of the team, generating ideas, scenarios, and alternatives that enrich decision-making processes.
It allows you to simulate attacks, identify vulnerabilities, and tailor innovation to the reality of each organization. It is a key tool for anticipating rather than just reacting.
Álvaro Arzayus:
It is essential to understand current threats, reassess business risks, and evolve traditional models. Security must be multi-layered, integrated, and focused on areas of greatest exposure.
William Vinasco:
My recommendation is to work with generative artificial intelligence on a daily basis. Adopt it, experiment with it, and learn from its constant evolution. If we don't use it, criminals will.
Juan José Ríos:
Thanks to Álvaro and William for sharing their knowledge and giving us a clear insight into the current challenges facing the sector. The combination of fraud expertise and advanced technology is redefining financial security.
Thank you for joining us on this episode of Mundo Financiero Seguro, the Plus TI podcast.
I'm Juan José Ríos. See you next time.
