Synthetic voices can be weaponized to impersonate key figures in your company, like the CEO or spokesperson. Imagine a deepfake audio of your CEO announcing a phony merger or making an offensive statement. The damage to brand reputation can be instant and devastating, spiraling into loss of consumer trust and even stock plummets.
A synthetically generated voice, or a deepfake voice, is an AI-created voice that sounds like a real person but isn’t. It's made by training algorithms on recordings of human speech and is used for things like customer service automation and voiceovers. However, it can be dangerous because it can be used for scams, impersonations, or spreading fake information, making it hard to trust what you hear.
With advanced AI, fraudsters can clone voices to trick employees or customers into divulging sensitive information. A quick call from “the boss” might lead to unauthorized wire transfers, leaking trade secrets, or compromising customer data. These vishing attacks are becoming harder to detect, making them a significant threat to businesses.
Synthetic voices can be used to spread false information that appears to come from credible sources within your organization. This could be as simple as a fake press release or as complex as a doctored interview. Such incidents can lead to market manipulation, public relations disasters, and a significant erosion of consumer confidence.
Synthetic voices can be used to manipulate both employees and customers. Whether it’s a fake HR call asking for personal information or a customer service interaction that wasn’t actually handled by your company, the potential for exploitation is enormous. This could result in financial losses, data breaches, and long-term damage to relationships.
Synthetically generated voices can mimic the tone, style, and inflection of well-known personalities. If your business relies on distinctive voice branding (think voice assistants, ads, or automated services), these voices could be cloned and used by competitors or malicious actors, diluting your brand’s unique identity.
Cybercriminals can use synthetic voices to exploit known vulnerabilities in your business processes. A perfectly timed, convincing call from “IT” could trick an employee into granting unauthorized system access, resulting in data breaches or ransomware attacks.
ValidSoft’s Voice Verity® Deepfake detection is immediately available in multiple deployment configurations, including: Cloud, Private Cloud, On-premise, Hosted and SaaS. Voice Verity® is not a biometric solution, it requires no user enrollments, no consent workflows, and does not hold or store any Personally Identifiable Information or “personal data” under GDPR or similar privacy frameworks, so can be deployed and operational immediately. For users of existing voice biometric solutions with no / inadequate deepfake detection capability, ValidSoft’s Deepfake detection solution can run as a standalone service in parallel, providing a strong and additional layer of protection for any enterprise.
Voice Verity® provides a comprehensive solution for the detection and prevention of Robocalls, Voice Cloning and other use cases emerging from Generative AI. Deepfake audio is here to stay, and exploitation, both good and bad, will increase. Staying ahead of the threat is key, and ValidSoft can help any organization gain a competitive advantage and protect its reputation and its customers by leading the field in the detection and prevention of such attacks.
World first – Patented generative Al audio deepfake detection. ValidSoft’s patented and proven technology is at the forefront of detection and prevention of Generative Al deepfake cyber attacks. Monitor every call for generative Al deepfake audio, computer generated speech and Robo-calls. The first check that MUST be done for every call placed to an agent, IVR or IVA – is it a genuine human or is it synthetic – delivering an enhanced risk-based approach to every call protecting your customers seamlessly and invisibly.
High accuracy deepfake protection
Real-time audiostreaming, and off-line processing
Standard API driven, low latency protocol support
Zero customer enrolment or verification
Language, dialect and idiolect agnostic
100% privacy compliant. No PIl data
Stay Ahead of Fraud: Protect Your Business with Voice Verity®. Voice Verity® has been designed to feed into fraud prevention eco-systems, providing additional classification data to improved detection accuracy. Our leading-edge technology has been designed to enhance fraud prevention across a number multiple use cases, environments and challenges “out-of-the-box”
Detecting low-grade synthetically created audio generated for the purpose of mass calling for data harvesting.
Detection of low, mid and high quality audio generated using Generative AI technology for the purpose of cloning individual speakers.
Considered notable figures of interest (e.g. high-net worth individuals or executives). At risk for targeted attacks with the potential for large amounts of good quality audio publicly available.
Generally considered probable for low-value, mass-style attacks with little publicly available audio for training.
Discover how Voice Verity® can protect your business from deepfake threats—request a personalized demo today!