Moderate - Trust & Safety
Visual Moderation
Text Moderation
Audio Moderation
CSAM Detection
Demographic Attributes
Detect Objects & Scenes
OCR
Contextual Scene Classification
Detect AI Content
AI-Generated Content Classification
Detect People & Identity
Likeness Detection
Logo & Logo Location
Celebrity Recognition
Celebrity Voice Detection
Generate
Image Generation
Video Generation
Hive Vision Language Model
Translate
Speech-to-Text
Translation
Search
Custom Search
Media Search
Platform
Custom Training - AutoML
Moderation Review Tool
Technology & Digital Platforms
For Online Communities
For Streaming Platforms
For Marketplaces
For Generative AI Apps
For Gaming Companies
For Dating Apps
For Rideshare and Delivery Services
For Music Companies
Media & Sports
For Brands
For Publishers
For Agencies
For Teams and Leagues
Risk & Identity Management
For U.S. Government Agencies
For Insurance Companies
For Financial Services
Use Cases
Content Moderation
Sponsorship Intelligence
Ad Intelligence
Context-Based Ad Targeting
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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 […]
We at Hive are excited to share a new report we’ve written on the state of the deepfake—covering its evolving trends, threats, and beyond.
Hive announces that we have been awarded a landmark Department of Defense (DoD) contract for deepfake content detection.
The US Department of Defense is investing in deepfake detection
Hive Secures DoD Contract for Deepfake Detection, Pioneering AI Defense Against Emerging Threats
Defense Innovation Unit and DoD Collaborate To Strengthen Synthetic Media Detection Capabilities
Announcing Hive’s new API: Text Moderation Explanations, which helps customers understand why our Text Moderation model assigns text strings particular scores.
