- Pindrop launches Pulse Inspect, a tool detecting AI-generated speech in digital audio with 99% accuracy.
- Deepfakes have become more accessible due to advancements in AI, with no federal law currently addressing the issue.
- Pindrop has secured over $318 million in funding, focusing initially on protecting contact centers from voice-based fraud.
- Pulse Inspect uses neural networks trained on 350+ deepfake tools, 20 million utterances, and 40 languages.
- The API-driven tool offers customizable thresholds and continuous deepfake scoring every four seconds.
- Pindrop is expanding its market reach to media, nonprofits, government agencies, and social media networks.
Main AI News:
Pindrop Security Inc. has launched its latest innovation, the Pindrop Pulse Inspect, which is now available in preview mode. This state-of-the-art tool detects AI-generated speech in digital audio files with an impressive 99% accuracy.
Deepfakes, which involve the creation of synthetic media that replace accurate content in images, audio, or video with falsified information, have become increasingly sophisticated due to rapid advancements in AI. These convincingly realistic yet entirely fake visuals and audio are now accessible at little to no cost, with some tools even available as open-source software. Despite the rise in deepfake incidents, no federal law specifically addresses them, although some states have enacted legislation to tackle the issue. Deep Media Inc. estimates that around half a million deep fake videos and audio files were shared on social media last year alone.
Pindrop, which has raised over $318 million in funding, including a $100 million round last month, has historically focused on safeguarding contact centers from fraudsters using synthesized voices to bypass biometric authentication, alter customer profiles, and extract confidential information. The company counts 11 of the largest insurers and eight of the top 10 banks and credit unions in the U.S. among its clients. Pindrop has intercepted over 104 million fraudulent calls to date, saving its customers an estimated $2 billion.
The Pulse Inspect tool leverages neural networks trained on over 350 deepfake generation tools, 20 million unique utterances, and over 40 languages, covering over 90% of spoken languages online. Users can upload audio files to the API-driven batch-processing platform, which offers customizable thresholds based on risk tolerance.
Earlier this year, Pindrop expanded its deep fake detection offerings with the launch of Pindrop Pulse, a tool that analyzes audio to identify fake videos through voice recognition. The company’s commitment to accuracy is underscored by a warranty compensating eligible customers if the tools fail to detect a deep fake or synthetic voice fraud.
Conclusion:
The introduction of Pindrop’s Pulse Inspect tool signals a significant advancement in deepfake detection technology, with potential implications for multiple sectors, including media, finance, and government. As deepfakes become more pervasive and sophisticated, the demand for reliable detection tools will likely increase. Pindrop’s expansion beyond contact centers to broader markets positions the company as a leader in this emerging field. The potential future release of a consumer-oriented tool could further broaden its impact, making deepfake detection accessible to a broader audience. For the market, this development underscores the growing importance of investing in technologies that can mitigate the risks posed by AI-driven disinformation and fraud.
