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GenAI is reshaping Fraud Prevention Strategies in India- Experian Insight report.
(MENAFN- Concept PR) Mumbai, 19 March 2025: Experian, a leader in data and technology, presents its latest research report, offering insights from senior fraud protection leaders on how Generative AI (GenAI) is transforming the fraud landscape. Conducted by Forrester Consulting, the report reveals an increase in fraud losses driven by identity theft and highlights the importance of robust Artificial Intelligence (AI) and Machine Learning (ML)-based security measures in the fight against fraud. The research surveyed 449 senior fraud protection leaders and decision-makers across multiple countries, including India, to provide a global and regional perspective on the impact of GenAI on fraud prevention.
AI-driven fraud prevention is becoming essential for stronger security and lower costs.
The report identifies a notable shift from individual fraudsters to highly organized fraud syndicates, a trend intensified by the advent of GenAI. 85% of businesses in India agree that GenAI has permanently altered the fraud landscape, increasing its complexity and sophistication. GenAI has also enabled the “industrialisation of frau”,” where fraudsters create and deploy fake identities, deepfakes, and other fraud tactics on a large scale. As a result, 50% of businesses struggle to detect the involvement of GenAI in fraud attacks and to assess its impact on losses. To counter this, businesses must adopt advanced AI-driven fraud prevention tools, integrate multiple security solutions, and adopt smarter fraud orchestration strate—ies—ensuring better detection, stronger security, and reduced costs.
The growing need for collaboration and advanced technologies
As fraud threats are becoming more complex, collaboration and advanced technologies have become more important than ever. In India, 77% of fraud decision-makers acknowledge that partnering with external entities is essential for effective fraud prevention. Additionally, 61% agree that sharing fraud data through a consortium is an effective strategy to identify emerging fraud trends. Notably, 74% of Indian businesses have reported a positive return on investment from participating in such consortia, highlighting the benefits of collaborative efforts.
Incorporating disparate data points and utilizing the power of Customisable ML models can accelerate fraud prevention.
The escalating fraud threat underscores the critical role of sharing and looking at various data points, incorporated into supervised and unsupervised machine learning (ML) models in fraud prevention. However, 48% of Indian businesses face challenges in implementing ML models due to insufficient training data, and 60% report a lack of quality data. Developing effective in-house ML models is complex; thus, customisable off-the-shelf ML models can expedite deployment and value realisation.
"At Experian, being the recognised champions in the fight against fraud, we continue to use cutting-edge technology, data analytics, and industry consortia to stay ahead of emerging threats,” commented Manish Jain, Country Managing Director at Experian India.
added Manish Jain
Shail Deep, Chief Operating Officer (COO), Experian EMEA & APAC, said: "As we look ahead, the integration of ML-based fraud prevention is a necessity for businesses to fight back against today's sophisticated fraud threat. Our research indicates that 85% of Fraud experts believe the fraud landscape has been dramatically changed by Generative AI. As a result, over 52% have seen an increase in losses from fraud attacks in the past year. The adoption of new, flexible fraud prevention solutions can no longer be postponed. At Experian, we are continuing to focus on innovation, integrating the latest technologies to enhance detection. Our goal is to create a safer digital world for our clients and consumers, ensuring their personal and financial information remains secure.
AI-driven fraud prevention is becoming essential for stronger security and lower costs.
The report identifies a notable shift from individual fraudsters to highly organized fraud syndicates, a trend intensified by the advent of GenAI. 85% of businesses in India agree that GenAI has permanently altered the fraud landscape, increasing its complexity and sophistication. GenAI has also enabled the “industrialisation of frau”,” where fraudsters create and deploy fake identities, deepfakes, and other fraud tactics on a large scale. As a result, 50% of businesses struggle to detect the involvement of GenAI in fraud attacks and to assess its impact on losses. To counter this, businesses must adopt advanced AI-driven fraud prevention tools, integrate multiple security solutions, and adopt smarter fraud orchestration strate—ies—ensuring better detection, stronger security, and reduced costs.
The growing need for collaboration and advanced technologies
As fraud threats are becoming more complex, collaboration and advanced technologies have become more important than ever. In India, 77% of fraud decision-makers acknowledge that partnering with external entities is essential for effective fraud prevention. Additionally, 61% agree that sharing fraud data through a consortium is an effective strategy to identify emerging fraud trends. Notably, 74% of Indian businesses have reported a positive return on investment from participating in such consortia, highlighting the benefits of collaborative efforts.
Incorporating disparate data points and utilizing the power of Customisable ML models can accelerate fraud prevention.
The escalating fraud threat underscores the critical role of sharing and looking at various data points, incorporated into supervised and unsupervised machine learning (ML) models in fraud prevention. However, 48% of Indian businesses face challenges in implementing ML models due to insufficient training data, and 60% report a lack of quality data. Developing effective in-house ML models is complex; thus, customisable off-the-shelf ML models can expedite deployment and value realisation.
"At Experian, being the recognised champions in the fight against fraud, we continue to use cutting-edge technology, data analytics, and industry consortia to stay ahead of emerging threats,” commented Manish Jain, Country Managing Director at Experian India.
added Manish Jain
Shail Deep, Chief Operating Officer (COO), Experian EMEA & APAC, said: "As we look ahead, the integration of ML-based fraud prevention is a necessity for businesses to fight back against today's sophisticated fraud threat. Our research indicates that 85% of Fraud experts believe the fraud landscape has been dramatically changed by Generative AI. As a result, over 52% have seen an increase in losses from fraud attacks in the past year. The adoption of new, flexible fraud prevention solutions can no longer be postponed. At Experian, we are continuing to focus on innovation, integrating the latest technologies to enhance detection. Our goal is to create a safer digital world for our clients and consumers, ensuring their personal and financial information remains secure.
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