Detecting Deepfakes Conference

Worldwide – Virtually

July 9, 2025

Introduction

Join leading experts, researchers, and industry professionals as they delve into the fascinating and crucial world of deepfake detection. Discover cutting-edge technologies and methodologies shaping the fight against digital deception. Learn how advancements in AI and machine learning are enhancing security, trust, and authenticity in the digital age.

Would You Be Able to Spot a Deepfake if You Were Looking Right At It?

For example, it’s easy to mix AI and human-generated content to create hybrid content, but that’s likely to confuse AI content detectors.

Size of the Deepfake Market

The deepfake detection (or synthetic media detection) market is young, but growing rapidly. Expenditures on deepfake detection in 2024 were estimated to be between $765 million and $795 million. The most conservative revenue projections for the synthetic media detection market in 2030 are over $5 billion, or more than a 40% compounded annual growth rate. From 2022 to 2023, deepfake-related threats surged 3,000%. Between July 2023 and July 2024, 82 deepfakes in 38 countries were deemed to be used for political purposes. These numbers are corroborated by the number of academic papers on synthetic media detection jumping 45.2% from 2022 to 2023, to reach 244 such papers.

What is Behind the Soaring Incidence of Deepfakes?

A casualty of the soaring growth in interest and investment in AI is the proliferation of deepfake technologies. More specifically, rapid progress in AI and machine learning algorithms—particularly in generative adversarial networks (GANs) and transformer models—has significantly improved the quality and accessibility of deepfake technologies. The following developments are among the factors spurring the proliferation of deepfakes:

Increasing Demand for Synthetic Media: There’s a growing need for personalized and engaging digital content across various industries, including entertainment, advertising, education and e-commerce.

Entertainment Industry Needs: The desire to reduce production costs while enhancing visual effects in the entertainment sector continues to boost market growth. Further, the widespread adoption of social media and digital platforms has heightened interest in using deepfakes for content creation.

Increased Accessibility: As AI technologies become more sophisticated, they also become more accessible to a wider range of users. This democratization of deepfake creation tools has expanded the market beyond specialized tech companies.

Integration with Other Technologies: AI advancements are facilitating the integration of deepfake capabilities with virtual and augmented reality, enhancing immersive experiences in gaming and simulations.

Detection and Security Innovations: As deepfake creation technology improves, it simultaneously drives innovation in deepfake detection methods, creating a parallel market for security solutions.

Recent Advancements in Deepfake Detection

The latest advancements in deepfake detection have seen significant progress in 2024 and early 2025, with several key developments:

Behavioral Analysis: Trend Micro, for instance, has introduced technology that incorporates user behavioral elements into deepfake detection.

Multi-Modal Detection: Advanced detection methods now combine analysis of visual, audio, and behavioral cues to improve accuracy. This includes examining color abnormalities, facial expressions, and voice patterns.

AI-Powered Solutions: Machine learning models, particularly Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), are being employed to analyze subtle differences between authentic and manipulated content.

Real-Time Detection: New tools can verify if participants in live video conversations are using deepfake technology, alerting users immediately.

Quantum Computing: Researchers are exploring the potential of quantum computing in deepfake detection, which could significantly enhance processing power and detection capabilities.

Authentication Technologies: Digital watermarks, metadata analysis, and blockchain-based verification are being developed to authenticate original content and identify manipulated media.

Continuous Learning Models: Detection systems are being designed to continuously update and improve their capabilities as new deepfake techniques emerge.

Collaborative Approaches: Competitions and collaborative efforts, such as the Deepfake Detection Challenge, are driving innovation in detection technologies.

Biometric Security Enhancement: Deepfake detection is being integrated into biometric security measures to prevent AI-based bypassing of facial recognition systems.

Money Movements in the Synthetic Media Detection

Despite its rapid growth, the synthetic media detection industry remains small. As a result, we have not been able to detect a great deal of investment or acquisition activity in the space. However, the following are among the transactions recently occurred:

Reality Defender, a startup specializing in deepfake and AI-generated media detection, secured $33 million in an expanded Series A funding round in October 2024. The investment was led by Illuminate Financial, with participation from Booz Allen Ventures, IBM Ventures, Accenture, and others.
Loti AI, a digital likeness protection technology startup, raised $6.65 million in seed funding in October 2024. The round was led by FUSE and Bling Capital, with additional support from Khosla Ventures and other investors.
In July 2024, Hiya, a global voice security services provider, acquired Loccus.ai, a leader in deepfake detection solutions.

What Will You Learn About the Presenting Companies?

The presenting management teams will discuss how their companies are positioned to detect deepfakes. They will apprise listeners of their unique product offerings, key selling points and their targeted customer segments. They will inform us of their research and development efforts, proprietary technologies, trade secrets and patent portfolios. They will tell us about their business models including the extent of their collaborations, marketing strategies, distribution channels, expansion efforts, customer acquisition strategies, milestones and exit strategies.

Presenting Companies?

Please check back for the agenda of presenting companies. If you would like to nominate a company to present, please contact David Wanetick at dwanetick@davosinthedesert.us.

Registration

Registration is free for members of Davos in the Desert. The registration price for non-members is just $10. Registration is for one attendee. No refunds.

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