AI Deepfake Fraud: 2025 the Year of Deepfake Defense

2025  is here and with its arrival comes the many predictions of what the year has in store in the world of cybersecurity, fraud, and in particular, how they relate to financial services. Whilst predictions vary, one constant in virtually every list was the increasing risk posed by generative AI deepfakes.

Deepfakes Ran Rampant in 2024

While 2024 was the breakout year for deepfakes, many experts believe they will really take off in 2025 in the form of both scams and fraud. Organizations are already the target of deepfake fraud with a business.com study finding more than 10% of US companies have dealt with either attempted or successful deepfake fraud. The spectacular success of at least one major incident in 2024, resulting in a US $25 million loss, will encourage fraudsters to continue to find new ways of exploiting the technology.

Why 2025 Demands Proactive AI Defense Strategies

Generative AI tools will continue to be widely available in 2025 and like all technologies, they will continue to improve, making it ever harder for targets to discern who and what is real. As this unfolds, it will also be clear that a defensive strategy of relying on employees to try and identify deepfakes will not work, and that AI defenses are required. 2024 also showed us that an omni-channel strategy is required as deepfake attacks occurred over multiple channels, including video conferencing in the case of the aforementioned major incident.

A Turning Point in the Fight Against AI Deepfake Fraud

Only AI-based tools can effectively detect, alert, and prevent deepfake audio attacks, including within deepfake video. ValidSoft’s Voice Verity^® a non-biometric AI solution based on large-scale Deep Neural Network techniques, is highly effective at detecting deepfake audio, regardless of which deepfake generation software was used in its creation. It is also omni-channel, capable of taking audio snippets from any channel in real-time and returning results for immediate action. Alternatively, it can operate as a background task for use by fraud analysts.

Being non-biometric in nature and processing no PII it also requires no consent or enrolment, meaning it can be deployed immediately.

If 2024 was the breakout year for deepfakes, given the level of threat and the consensus on it only becoming a major source of fraud this year, organizations of all types need to make 2025 the year of AI-based deepfake detection defenses.