The financial industry is facing an ever-growing threat of fraud, with global losses exceeding $1 trillion annually. As digital interactions continue to increase, fraudsters are finding new ways to exploit the system, making it crucial for fintechs and financial institutions to stay ahead of the curve.
To combat this issue, many are turning to artificial intelligence (AI) and deep learning models to detect and prevent fraudulent activities more effectively.
TLDR
- Financial fraud is evolving rapidly, costing the global economy over $1 trillion annually
- AI and deep learning models help fintechs and financial institutions detect and prevent fraud more accurately and efficiently
- AI-powered solutions assist in meeting AML regulations without compromising customer experience
- First AML launches AI Assist tool to expedite compliance tasks, reducing time for data extraction and identification processes
- Oracle introduces AI-powered platform, Oracle Financial Services Compliance Agent, to help banks combat money laundering
AI-powered solutions offer several advantages over traditional rule-based systems. Deep learning models can analyze vast amounts of complex data, identifying patterns and anomalies that humans alone would struggle to detect.
This not only improves the accuracy of fraud detection but also reduces the number of false positives, ensuring a better customer experience. By leveraging AI, financial institutions can adapt quickly to new fraud techniques, updating their models in as little as a few hours.
In addition to fraud prevention, AI is also playing a vital role in helping financial institutions meet anti-money laundering (AML) regulations.
Companies like ComplyAdvantage use AI to identify individuals and organizations targeted by government sanctions, enabling banks to promptly update their screening services.
This is particularly important in light of the tougher stance regulators are taking on financial crimes.
To further streamline compliance processes, First AML has recently launched its AI Assist tool. This innovation aims to revolutionize the extraction of key details from trust deeds, reducing the time needed for Know Your Customer (KYC) and AML tasks to just 60 seconds or less.
By automating data entry and beneficial owner identification, AI Assist helps compliance professionals focus on core tasks and enhances their ability to prevent fraudulent activities.
Similarly, Oracle has introduced its AI-powered platform, Oracle Financial Services Compliance Agent, to assist banks in reducing money laundering risks.
The platform allows financial institutions to carry out hypothetical scenario testing, adjust thresholds and controls, and proactively assess and mitigate risks associated with high-risk typologies.
By providing empirical data to support business decisions, the Compliance Agent enables banks to make evidence-based compliance decisions more swiftly and economically.
