Vastav Artificial Intelligence
| Developer(s) | Zero Defend Security |
|---|---|
| Initial release | 2025 |
| Stable release | 1.0
|
| Engine | |
| Operating system | Cloud-based |
| Platform | Web, API |
| Type | Deepfake detection, Cybersecurity |
| License | Proprietary |
| Website | www |
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Vastav AI is an artificial intelligence-based deepfake detection system developed by Zero Defend Security.[1][2][3] Released in 2025, it is India's first deepfake detection technology, designed to analyze and verify digital media for authenticity.[1][4][5][6] The system detects AI-generated videos, images, and audio with a reported accuracy of 99%, providing forensic insights into manipulated content.[7][8][9][10][3][11][12]
Vastav AI employs advanced machine learning techniques, forensic analysis, and metadata inspection to distinguish between real and AI-generated content.[6] The platform is designed for use by law enforcement agencies, media organizations, cybersecurity firms, and individuals seeking to verify digital content integrity.[13][14]
Development
Vastav AI was developed as a response to the increasing prevalence of deepfake technology, which has been used in misinformation campaigns, digital fraud, and cyber threats. It was created under the leadership of Zero Defend Security, a cybersecurity firm specializing in threat intelligence, digital forensics, and AI-driven security solutions.[15][3][16]
The name Vastav is derived from the Hindi word for "Reality", signifying its core mission—to expose and counteract synthetic and misleading digital content.
Technology and features
Vastav AI utilizes a combination of deep learning models, neural networks, and forensic algorithms to analyze media files. Its primary features include:
- Deepfake detection – Identifies AI-generated videos, images, and synthetic voice manipulations.
- Heat maps – Highlights regions within images or videos that exhibit AI-generated artifacts.
- Confidence scores – Provides probability-based ratings on content authenticity.
- Metadata analysis – Extracts and examines hidden metadata to detect anomalies.
- Real-time processing – Offers near-instantaneous results for digital forensic investigations.
- Detailed reports – Generates downloadable reports for further review by forensic analysts.
Recognition and industry impact
Vastav AI was showcased at CIDECODE, a hackathon organized by CID Karnataka under PES University on March 8–9, 2025.[17][18] The project was awarded and received recognition for its potential in combating misinformation and cyber threats.[8][5][19][10]
According to a Radware and IBM cybersecurity report, deepfake attacks rank as the third most significant AI-driven cyber threat, following phishing and AI-powered malware creation, Deepfake fraud is surging, up 3000% in 2023[20][21]
Accessibility and deployment
Vastav AI is available through a cloud-based platform with the following access models:
- Government and law enforcement agency – Free access granted for digital forensic investigations and cybercrime detection.[2][3][11]
- Enterprise and individual users – Subscription-based access via pay-per-use credits.[13]
See also
References
- ↑ 1.0 1.1 Bharatvarsh, TV9 (2025-03-11). "आ गया DeepFake Detection System, चुटकियों में पकड़ लेगा AI जेनरेटेड फोटो-वीडियो". TV9 Bharatvarsh (in हिन्दी). Archived from the original on 2025-03-12. Retrieved 2025-03-11. Unknown parameter
|url-status=ignored (help) - ↑ 2.0 2.1 http://# (2025-03-11). "Deepfake Detection System has come, AI will catch AI generated photo-video". Passionategeekz.com. Retrieved 2025-03-11.
- ↑ 3.0 3.1 3.2 3.3 Kumar, Viraj (2025-03-12). "DeepFake No More! Vastav AI Can Detect AI-Generated Photos and Videos in Seconds". Times Bull. Retrieved 2025-03-12.
- ↑ "India First Deepfake Detection System 'Vastav AI' Sets New Benchmark in Cybersecurity". deshcrux.com. 2025-03-11. Retrieved 2025-03-11.
- ↑ 5.0 5.1 "Vastav AI: सरकार और कानून प्रवर्तन के लिए डीपफेक डिटेक्शन में एक क्रांतिकारी कदम". Hindi News Times Of Malwa. Retrieved 2025-03-10.
- ↑ 6.0 6.1 "About Vastav AI - Zero Defend Security". zerodefendsecurity.com. Retrieved 2025-03-10.
- ↑ Bhaskar, Dainik. "भारत का पहला डीपफेक डिटेक्शन सिस्टम 'वस्तव':99% सटीकता से फर्जी वीडियो-इमेज की पहचान, सीआईडी हैकाथॉन में मिला सम्मान". bhaskar. Archived from the original on 12 March 2025. Unknown parameter
|url-status=ignored (help) - ↑ 8.0 8.1 "Santhosh Kumar on LinkedIn: #cidecode #cidkarnataka #dsci #pesuniversity #zerodefendsecurity… | 21 comments". www.linkedin.com. Retrieved 2025-03-10.
- ↑ "Deepfake का इस्तेमाल पर अब स्कैमर्स नहीं फैला पाएंगे गलत जानकारी, इस तरीके से होगी चुटकियों में पहचान". www.khabarfast.com. Retrieved 2025-03-11.
- ↑ 10.0 10.1 Team, V. T. V. "સાયબર ગુનેગારોની હવે ખેર નહીં! AI ફોટો-વિડિયોની ઓળખ કરશે ડીપફેક ડિટેક્શન સિસ્ટમ". VTV Gujarati. Retrieved 2025-03-11.
- ↑ 11.0 11.1 "भारत में लॉन्च हुआ DeepFake Detection System, अब तुरंत होगी AI जेनरेटेड कंटेट की पहचान". www.bwhindi.com. Retrieved 2025-03-13.
- ↑ https://epaper.dailypunjabtimes.com/edition/English/PUNJABT_ENG/page/5
- ↑ 13.0 13.1 BHARAT, CNEWS (2025-03-11). "आ गया DeepFake Detection System! अब फर्जी फोटो-वीडियो पकड़ना हुआ आसान". cnewsbharat.com/. Retrieved 2025-03-11.
- ↑ BHARAT, AGRA (2025-03-15). "डीपफेक डिटेक्शन सिस्टम 'वास्तव': AI से बने फर्जी फोटो-वीडियो की अब खैर नहीं!". agrabharat.com/. Retrieved 2025-03-27.
- ↑ "MSN". www.msn.com. Retrieved 2025-03-11.
- ↑ "भारत में लॉन्च हुआ DeepFake Detection System, अब तुरंत होगी AI जेनरेटेड कंटेट की पहचान". www.bwhindi.com. Retrieved 2025-03-27.
- ↑ The, Hindu (2025-03-10). "CCITR launches second edition of 24-hour Cyber Hackathon". The Hindu. ISSN 0971-751X.
- ↑ "CID hackathon in Bengaluru to advance research in cybercrime probe". Deccan Herald. Retrieved 2025-03-10.
- ↑ "Students tackle cybercrime challenges with CID's 24-hour hackathon". 2025-03-09. Retrieved 2025-03-10.
- ↑ "The Rise of AI-Driven Cyber Attacks: A New Challenge for Service Providers | Radware Blog". www.radware.com. Retrieved 2025-03-10.
- ↑ "Tech industry ramps up efforts to combat rising deepfake threats | IBM". www.ibm.com. 2024-09-10. Retrieved 2025-03-28.
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