The rapid advancement of generative AI (genAI) and agentic AI has enabled more sophisticated forms of fraud, such as deepfake impersonation scams. In response, financial institutions and merchants are also turning to these technologies to detect and actively combat AI-driven threats. Yet enterprises face significant integration hurdles as fragmented systems and disparate solutions complicate data ingestion, model deployment, and orchestration within enterprise fraud management (EFM) frameworks. Fraud management professionals face a plethora of vendor options and should pay attention to the following market dynamics.

AI-Generated Fraudulent Activities Are Proliferating

As adoption of the latest 3DS protocol curbs traditional credit card fraud, fraudsters are shifting to genAI-powered fraud, such as synthetic identities and deepfake impersonation. These tactics leverage genAI’s ability to create hyperrealistic fake content, making scams more convincing and harder to detect. Social engineering attacks are becoming more personalized and scalable, eroding trust in digital interactions. Banks and merchants face growing challenges in verifying identities and detecting AI-generated deception.

EFM Integration Remains A Challenge

Enterprises grapple with fragmented systems, siloed data, and inconsistent protocols across vendors and channels. Disparate solutions complicate data ingestion, model deployment, and orchestration. The migration from legacy systems to unified EFM platforms is often hindered by complex architectures and limited interoperability between fraud, compliance, and customer systems. Fraud management orchestration capabilities can help address this by enabling the seamless integration and coordination of various tools and data sources.

GenAI And Agentic AI Are Game-Changers For EFM

Fraudsters now exploit genAI aggressively, challenging traditional EFM systems. In response, EFM solutions are evolving to harness genAI defensively: automating risk scoring rules and model generation, enhancing explainability, and generating contextual narratives for fraud cases. Agentic AI-based AI copilots are transforming investigation workflows by summarizing alerts, surfacing red flags, and aligning cases with typologies, boosting efficiency and consistency. This shift from detection to intelligent orchestration marks a pivotal evolution in fraud management strategy.

Facing the rapidly changing market environments and increased fraud threats, EFM solutions are more in demand than ever. In our recent report, The Enterprise Fraud Management Solutions In Asia Pacific Landscape, Q2 2025, we identified 28 EFM vendors in APAC with relevant market presence. Some are global vendors and some are homegrown in APAC. Security, risk, and fraud management pros in financial institutions and merchants should use this report to understand the value they can expect from an EFM vendor in APAC, learn how vendors differ, and select one based on size and market focus.

To learn more details about EFM vendors in APAC, Forrester clients can read the full report or schedule a guidance or inquiry session.