A new report, The State of Biometric Security in the Age of AI Fraud, reveals that 98% of organizations are interested in biometric orchestration as they confront a surge in AI-driven fraud and growing complexity across identity systems.
As organizations deploy multiple biometric solutions across use cases, managing these systems has become increasingly difficult. Biometric orchestration refers to a platform that centrally coordinates multiple biometric systems, data sources, and workflows to enable seamless, secure, and scalable identity verification.
In the new report, the findings paint a clear picture: as threats like deepfakes, synthetic identities, and injection attacks become more sophisticated and widespread, organizations have turned to biometrics as a foundational layer of identity security, but are struggling to manage fragmented, multi-vendor environments.
“Organizations are no longer asking if they need biometrics—they’re already managing complex ecosystems and asking how to make them work together,” said Ajay Amlani, CEO of Aware. “Biometric orchestration is emerging as the critical layer that helps security teams stay ahead of AI-driven threats while maintaining performance, accuracy, and user experience. It turns complexity into an advantage by enabling smarter, faster identity decisions.”
Key Findings from the Report
● 98% of organizations are interested in investing in a biometric orchestration platform
● Nearly 50% experienced AI-driven fraud in the past year
● Nearly 90% are concerned about AI attacks targeting biometric systems
● Over 60% use biometrics specifically to combat identity-related fraud
● 75% include biometrics or liveness detection in fraud prevention strategies
● Organizations use an average of three biometric vendors, highlighting ecosystem complexity
● More than half report revenue loss from AI-related fraud incidents
● Nearly half cite brand and reputational damage as a result of these attacks
The research shows that AI-powered fraud is no longer an emerging concern, and is already impacting organizations at scale. Nearly half of respondents report experiencing AI-related fraud in the past year, including attacks leveraging deepfakes, synthetic identities, and system-level injection techniques.
Concerns are equally widespread. Nearly nine in ten leaders say they are worried about AI attacks targeting biometric systems, reflecting a growing recognition that defenses are being tested by increasingly sophisticated threats.
The impact of these attacks extends far beyond security teams. Among organizations that experienced AI-related fraud, more than half report direct revenue loss, while similar numbers cite operational disruption and liability costs. Nearly half report brand and reputational damage, underscoring the broader business risk.
Taken together, these findings make clear that AI-driven fraud is not just a cybersecurity issue, but a material business challenge affecting financial performance, customer trust, and long-term resilience.
