TrustTrace:
Multimedia Misinformation
Detection
Verify Truth, Expose Lies – Your Shield Against Multimedia Misinformation.






Fake News
Stay informed, stay safe
Fake Image
Verify before you believe
Fake Video
Authenticity in the digital age
Fake Audio
Ensuring transparency in every sound bite
Who is TrustTrace?
TrustTrace is a proprietary research initiative at the forefront of innovation in detecting audiovisual and textual misinformation generated from various sources with a high degree of accuracy.
- AI-Powered Analysis
- Multi-Modal Detection
- Real-Time Verification
- Regular Updates
- Transparency & Reporting
- Secure & Private

CyberCrime
Call us anytime
+011 2089 2633


TrustTrace
Build Your Case, Verify the Facts
How it Works
Our AI-powered misinformation detection system ensures accuracy and reliability across audio, video, text, and news content. Here’s how it works:
Create a Case
Upload or provide details of the audio, video, text, or news you want to verify. Our system collects necessary metadata and context.
- Multi-Format Support – Accepts various content types, including audio, video, text, and news articles.
- Automated Metadata Extraction – Gathers crucial details like timestamps, sources, and patterns for better analysis.
- User-Friendly Submission – Simple and intuitive process for uploading or entering content for verification.

Input and Upload Data
Our AI-driven models process the content, analyzing patterns, sources, and inconsistencies.
- End-to-End Encryption – Protects user data during submission, processing, and result retrieval.
- Anonymized Processing – Ensures no personally identifiable information is stored or shared.
- Tamper-Proof Security – Implements strict access controls and audit logs for case integrity.

Detailed Report System
Receive a detailed report on the authenticity of the content, highlighting misinformation, deepfakes, or manipulations.
- Comprehensive Analysis – Provides an in-depth breakdown of content authenticity, including source verification, AI-generated anomalies, and contextual inconsistencies.
- Transparency & Explainability – Offers clear reasoning behind the verdict, with evidence-backed insights on misinformation, deepfakes, or manipulations.
- Actionable Insights – Suggests next steps, such as content reporting, fact-checking references, or further verification for high-risk cases.
Team

Jayan Shah
Junior Research Fellow
Shubham Kolaskar
Junior Research Fellow
Pratham Shah
Junior Research FellowMisinformation Cases
Social media misinformation is a growing challenge, requiring fact-checking, media literacy, and AI-driven detection tools to combat its impact.
Fake News
Recent instances of misinformation have had significant impacts across various sectors:
Read MoreFake Video
Fake videos, often created using AI deepfakes or edited footage, manipulate visuals to spread misinformation and deceive viewers.
Read MoreFake Image
A fake image misinformation case involves digitally altered or AI-generated visuals that misrepresent reality, often misleading the public with false narratives.
Read MoreFake Audio
Fake audio misinformation involves manipulated or AI-generated voice recordings designed to mislead, impersonate, or spread false narratives.
Read MoreHave a question? Check out the FAQ
How does the TrustTrace Project approach the investigation of AI-driven misconduct?
TrustTrace Project employs a comprehensive approach involving continuous identification of threats, in-depth research and analysis, technology development, collaboration with partners, rigorous testing, education and outreach initiatives, and continuous monitoring and adaptation to address the dynamic nature of AI threats.
What specific technologies does the TrustTrace Project develop to combat AI misconduct?
TrustTrace Project actively develops cutting-edge technologies, including advanced deepfake detection algorithms and protective measures against fake WhatsApp calls. Our goal is to create robust tools that can effectively detect and mitigate the impact of AI-driven misconduct.
Who collaborates with TrustTrace Project, and how can organizations get involved?
TrustTrace Project collaborates with industry leaders, government agencies, and advocacy groups. If your organization is interested in collaborating with the TrustTrace Project, please contact our collaboration team at collaborate@trusttraceproject.com.
How can individuals stay informed about TrustTrace Project's initiatives?
Individuals can stay informed about TrustTrace Project by subscribing to our newsletter and following us on social media platforms such as Twitter, LinkedIn, and Facebook. Regular updates, research findings, and news related to AI ethics and misconduct will be shared through these channels.
What if a video is identified as a deepfake ?
If the uplaoded video is a deepfake, you can go ahead and take action yourself by reporting this case to the Government Website mentioned below:
National Cybercrime Portal
What is AI-driven misconduct, and why is it a concern?
AI-driven misconduct refers to the malicious use of artificial intelligence technologies, leading to harmful outcomes. This can include the creation and dissemination of deepfake content, fake WhatsApp calls, and other deceptive practices. The concern lies in the potential for privacy breaches, misinformation, and other negative consequences affecting individuals and society.