| The name of the base system (platform): | Artificial intelligence (AI, Artificial intelligence, AI) |
| Developers: | MWS AI, MVS AI (formerly MTS AI, MTS AI) Center for Artificial Intelligence MVS |
| Date of the premiere of the system: | 2025/01/09 |
| Technology: | Data Mining |
Content |
The main systems are:
2025
Based on the deepfake detector from MWS
PAO, a MTS digital ecosystem, announced on November 21, 2025 that its subsidiary had MTS Web Services (MWS) launched. detector deepfakes The system recognizes with more than 98% accuracy, content created by - AI models such as Veo 3 () Google and Sora 2 (), OpenAI which are able to generate and edit videos according to text description. To recognize deepfakes, audio track analysis is used using a detector from MWS AI. More. here
Introduction of an AI service for protection against all types of deepfakes
MTS AI has developed a service that identifies all types of deepfakes and prohibited content. The company announced this on January 9, 2025.
The service offers users the following functionality:
- Identification of all major types of deepfakes, including face replacement and synthesis, as well as fully generated media files;
- Audio detection of speech created by AI;
- Detection of prohibited content.
The service can be used in various industries and areas, such as:
- Social networks and media platforms: for automatic moderation of user content, identifying fake accounts, combating misinformation and fakes;
- Corporate sector: to verify the authenticity of participants, videoconferences as well as protect top management from manipulation of corporate communications;
- Telecom: to prevent fraud, corporate content moderation;
- HR and recruiting: to verify the authenticity of video interviews and candidate documents, as well as to protect against fraud in remote hiring;
- Educational platforms: To protect against online exam fraud, authenticate homework, and provide a secure online learning environment.
To create the solution, the development of MTS AI and VisionLabs solutions were used.
