Respeecher, a leader in synthetic speech software, has partnered with Reality Defender, a cybersecurity company specializing in deepfake detection, to develop advanced audio deepfake detection models. This strategic collaboration aims to safeguard millions from emerging AI-generated threats and sophisticated forms of fraud by combining Respeecher’s generative AI capabilities with Reality Defender’s detection technology.
Partnership Objectives
- Comprehensive Solution Development: Aimed at detecting and preventing audio deepfakes made using Respeecher’s technology.
- Integration of Capabilities: Combining Respeecher’s generative AI creation with Reality Defender’s detection technology for real-time threat identification.
Technological Advancements
- Enhanced Detection Accuracy: Respeecher’s audio processing models enhance Reality Defender’s platform.
- Patented Multi-Model Approach: Reality Defender’s platform and API can identify fraud, disinformation, and harmful deepfakes in real time.
- Voice Cloning Standards: Respeecher’s expertise in voice synthesis improves detection capabilities.
Benefits for Clients
- Real-Time Threat Neutralization: Empowering clients to rapidly identify and mitigate AI-generated threats.
- Comprehensive Protection: Providing unparalleled security against weaponized audio and AI-driven fraud.
Commitment to Responsible AI
- Safeguarding AI Content: Respeecher’s dedication to responsible AI development ensures the integrity and security of AI-generated content.
- Shared Goals: Both companies are committed to addressing the growing menace of weaponized AI-generated content.
Statements from Leadership
- Alex Serdiuk, CEO of Respeecher: Emphasizes the significance of enhancing Reality Defender’s detection platform with proprietary audio processing models.
- Ben Colman, CEO of Reality Defender: Highlights the partnership as a major progression in combating harmful deepfakes with enhanced voice synthesis standards.
The partnership between Respeecher and Reality Defender represents a significant advancement in the fight against AI-generated audio threats. By combining their respective strengths in generative AI and deepfake detection, they aim to provide robust protection against emerging risks and ensure the security of AI-generated content.
