Global Relay Industry Insights: State of AI in Surveillance 2025

Get real industry insights into the growing role of AI in communications surveillance and how compliance teams are grappling with how to integrate generative AI models into their workflows.

Learn how your peers are weighing the risks and rewards of generative technology, as well as their business goals, common hurdles around integration, and broader industry viewpoints on AI in surveillance.

Here’s a preview of our findings:

31%

of respondents are already using AI for surveillance or intend to implement it within the next 12 months.

Risk identification

and reduced false positives are the top two use cases for AI implementation.

47%

of respondents are not currently using AI within their surveillance systems, though 38% are watching the space to determine next steps.

Data security

and budget are the main barrier to implementing AI within surveillance workflows.

Read the report for insights on how your compliance peers are approaching AI, and to understand more about its role in surveillance in 2025.

With the introduction of generative AI in finance workflows, the ability to radically transform and streamline surveillance processes is more tangible than ever before. Although AI has previously assisted in financial environments on smaller scales (such as automated chatbots and document review systems), firms are now beginning to navigate more complex technologies to understand how they can maximize surveillance potential, all while abiding by regulatory guardrails and ensuring AI compliance.

In our research, Global Relay set out to understand whether the financial industry is ready to implement AI into compliance workflows. With the buzz around evolving technology growing, do firms see an advantage in implementing AI, or is it too soon to tell? Does the benefit of accuracy outweigh the matter of explainability? Is there buy-in to invest, or are C-suites skeptical?

Global Relay’s State of AI in Surveillance Report 2025 gives valuable insights on the following topics:

• Whether firms are currently adopting AI surveillance technologies or holding off to see how the industry develops.
• The overall understanding of AI as a compliance tool, and whether firms plan to educate personnel or hire additional AI resources.
• The key goals that firms hope to achieve by utilizing AI surveillance models, such as enhancing risk classification and improving identification efficiency.

Kathryn Fallah

3 mins read • 24 March 2025