Aurigin.ai joins forces with MCA India’s Deepfakes Analysis Unit to combat misinformation

We’re pleased to announce a collaboration between Aurigin.ai and the Deepfakes Analysis Unit (DAU) of the Misinformation Combat Alliance (MCA India). A partnership aimed at strengthening the verification of AI-generated and manipulated audio content.

Empowering fact-checking with advanced audio forensics

The DAU, one of India’s leading fact-checking and deepfake-analysis teams, has integrated Aurigin.ai’s audio deepfake detection engine into its verification workflow. This addition enhances the DAU’s multi-layered approach, combining automated tools, cross-validation, and expert human analysis to identify and analyze synthetic or manipulated media more efficiently.

“Your audio deepfake detection tool will help supplement our workflow, which involves using a combination of A.I. detection tools and human analysis for verification of harmful or misleading A.I.-generated or A.I.-manipulated audio and video content.” — Pamposh Raina, Head, Deepfakes Analysis Unit, Misinformation Combat Alliance

Addressing the growing challenge of audio manipulation

Audio deepfakes are emerging as one of the toughest challenges in misinformation detection. As generative voice models advance, the ability to validate the authenticity of spoken content is becoming critical for journalists, investigators, and policymakers alike.

“Audio verification has been especially challenging given that there are no visual markers of manipulation. Technology that can help detect A.I.-generated or A.I.-manipulated audio is essential for teams involved in verification and fact-checking given the quick advances in generative A.I.,” adds Pamposh Raina.

What this partnership brings

• Faster and more reliable analysis: Aurigin.ai’s real-time detection engine enables DAU analysts to quickly flag potentially manipulated recordings for deeper review.
• Cross-validation confidence: Integrated alongside DAU’s existing suite of AI-forensics tools, Aurigin.ai reinforces conclusions through probabilistic scoring and transparent evidence.
• Scalable verification workflows: As misinformation volumes grow, automation helps DAU preserve analytical depth while increasing throughput.

Supporting the Deepfakes Analysis Unit’s critical work marks another step in Aurigin.ai’s mission to protect communications, institutions, and public trust from AI-driven deception.