State of AI in Surveillance Report 2025

This report examines the integration of artificial intelligence (AI) into surveillance workflows as of 2025. It presents findings from a survey conducted among surveillance professionals worldwide, focusing on their attitudes towards AI. The report outlines the increasing regulatory expectations for financial services to enhance their surveillance capabilities, particularly in light of outdated systems. It discusses the limitations of traditional lexicon-based surveillance methods, which often result in high false positive rates and inefficiencies. The report highlights the shift towards AI-enabled surveillance, which aims to reduce false positives and improve risk identification. It details how AI technologies, including deep learning models and large language models (LLMs), are transforming surveillance practices by analyzing communications contextually rather than relying solely on keyword lists. The report concludes with insights into the goals of compliance teams in implementing AI, emphasizing the need for improved efficiency and accuracy in risk detection.