Business Analyst - Hive Models

Introducing Celebrity Voice Detection Model. Hive. August 6, 2026 Voice is one of the most personal and recognizable parts of a public figure's identity, and generative AI has made it easier to capture and replicate. As generative tools become more accessible, platforms face a growing challenge: identifying when media uses, imitates, or is generated from a recognizable person's voice before it misleads audiences, violates consent, or creates reputational and safety risks. With voice, the harm can be immediate. A realistic clone can make it sound like a celebrity, politician, athlete, or other public figure said something they never actually said. That's why Hive is excited to launch Celebrity Voice Detection, a new AI model that is part of its broader IP & Publicity Detection suite, built to help generative AI companies and digital platforms identify when audio includes or recreates the voice of a well-known public figure. How content moves through Celebrity Voice Detection Powered by its AI technology, Celebrity Voice Detection detects over 500 celebrities, politicians, and other well-known public figures. Comparing voices detected in content against its regularly updated celebrity index, Celebrity Voice Detection returns each identified match and associated confidence scores. Additionally, Celebrity Voice Detection returns an attribute category, which describes what type of famous figure the recognized individual is. The available categories are: film, music, media, politics, business, and sports. This granular metadata can be applied across audio generation and content review workflows, helping platforms review uploaded content and generated clips before they are published. Together, these capabilities provide platforms with stronger safeguards against potentially unauthorized celebrity voice replicas, while preserving space for policy-compliant AI voice creation. AI-generated audio is spreading fast While its industry-leading AI-Generated Audio Detection Model determines whether audio was generated or manipulated by AI, platforms increasingly need to identify if audio contains the vocal likeness of public figures. Synthetic audio is making voice impersonation harder for platforms to ignore. When AI-generated voices replicate people like Morgan Freeman, Matthew McConaughey, Scarlett Johansson, or Martin Luther King Jr., the issue is no longer just whether the audio is real, but whether someone's actual voice or vocal likeness are being replicated without consent. Proposed legislation like the NO FAKES Act, which Hive has endorsed, reflects this broader shift toward protecting individuals from unauthorized AI-generated replicas. Hive has paid close attention to what companies need in this environment, which is why Hive created its Celebrity Voice Detection model. Paired with its AI-Generated Audio Detection Model, platforms can add a more targeted layer of review to AI voice generation. Not only can platforms detect whether a clip is synthetic, but teams can now prioritize higher-risk content that contains a public figure's voice. Get started with Celebrity Voice Detection To learn more about how Celebrity Voice Detection works, explore the technical documentation. If you'd like to test the model, please reach out to [email protected] or contact its sales team and its team can share API keys and credentials for your new endpoints.

Introducing Hive Detect for Enterprises. Hive. Today, Hive is excited to launch Hive Detect for Enterprises, a new way for organizations to access Hive's best-in-class AI-generated and deepfake detection models in a team-ready user experience. This enterprise application delivers a streamlined, drag-and-drop workflow that enables teams to quickly verify the authenticity of images, videos, music, and speech without using an API. Designed for organizational verification. For many teams, verifying content needs to happen quickly and without technical setup. Hive Detect for Enterprises is built for workflows where people need to upload a file, get an answer, and make a decision without using an API or writing code. This approach supports a wide range of use cases, from newsrooms and public sector teams to commercial organizations that need an easy way for employees to check content as part of their day-to-day work. Enterprise access also makes it possible to use detection results in commercial settings, with the structure and limits required for ongoing use. A team-ready platform. Hive Detect for Enterprises takes the drag-and-drop Detect experience and makes it usable for company teams. It adds authentication, access controls, centralized user management, and shared task history, along with higher rate limits and support for longer media uploads. Teams can upload content and receive detection results immediately. For supported media, results are shown frame by frame with clear color indicators that reflect the likelihood of AI generation. Only relevant data is shown for each file type, which keeps results easy to read and interpret over time. For those who want to explore the technology first, a free demo is available at https://hivedetect.ai/. Continuing its enterprise commitment. Hive Detect for Enterprises represents the next step in the availability of Hive's industry-leading AI-content detection technology. If your organization needs a fast, scalable, and intuitive way to verify AI-generated content, Hive Detect for Enterprises is built for you. Please reach out to its sales team at [email protected] or contact Hive here for further questions.