How quickly can you verify a deepfake video during an active election?

For clients with an active election monitoring engagement, our rapid-response protocol targets triage delivery within 1 to 2 hours of flagging and full forensic report delivery within 6 to 12 hours for standard cases. For critical incidents in the 48 hours before polling, we operate an accelerated protocol — contact us to discuss SLAs for your specific election engagement.

Do you cover regional language content in Indian elections?

Yes. Our monitoring and analysis capabilities cover content in Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, Gujarati, Punjabi, and Odia, among other Indian languages. Regional language audio and video are analyzed using the same forensic methodology as English-language content — linguistic content is not the primary object of analysis; the technical signals of synthetic media generation are.

Can your forensic reports be used to file complaints with the Election Commission?

Yes. Our forensic incident reports are structured to support complaint filing with the Election Commission of India under the Model Code of Conduct and relevant provisions of the Representation of the People Act. We can assist clients in preparing the technical sections of formal complaints.

What platforms do you monitor?

Our monitoring covers public content on X (Twitter), Facebook, Instagram, YouTube, and public Telegram channels. WhatsApp monitoring relies on forwarded content submitted to us directly, as WhatsApp's end-to-end encryption does not permit platform-level monitoring. We also monitor broadcast news clips submitted by clients or identified through our media tracking systems.

Can this service be used outside of formal election periods?

Yes. Political disinformation using synthetic media is not limited to formal election campaigns. We offer year-round monitoring for political organisations, government bodies, and media organisations that face continuous disinformation threats — structured as an ongoing retainer rather than an election-cycle engagement.

Identity Verification Hardening

Protect your onboarding pipeline from synthetic face attacks.

WHY THIS MATTERS

NINE OF THE TEN MOST WIDELY USED LIVENESS DETECTION SYSTEMS IN BANKING HAVE BEEN SUCCESSFULLY BYPASSED BY DEEPFAKE ATTACKS.

Digital KYC has become the standard for onboarding customers at banks, NBFCs, insurance companies, payment platforms, and digital lenders across India. It is fast, cost-effective, and scalable. It is also vulnerable. Liveness detection systems were designed to prevent human imposters holding up a photograph - not an AI-generated video of a synthetic face that does not exist, or a real-time face-swap operated live during the verification call. Forensic deepfake detection operates at a different level from liveness detection - analyzing the media itself, not just whether the subject is live, to determine whether the face present is genuine or AI-generated.

service details

What This Service Includes

Everything your organisation receives as part of a KYC hardening engagement.

API INTEGRATION

API integration with your KYC and onboarding system - receiving selfie photographs or videos and returning deepfake probability scores and classification within seconds.

PER-SUBMISSION DEEPFAKE SCORES

A deepfake probability score and risk classification returned for every onboarding submission, allowing clean submissions to proceed and high-risk submissions to be routed for review or rejection.

FULL FORENSIC REPORTS FOR FLAGGED CASES

Complete forensic analysis for flagged or confirmed attack cases - including manipulation heatmaps, confidence scores, and chain-of-custody documentation.

Our process

FROM SUBMISSION TO FORENSIC FINDING — A STRUCTURED, DOCUMENTED PROCESS.

Integrated into your onboarding flow. Invisible to genuine customers.

WHO WE SERVE

BUILT FOR THE INSTITUTIONS THAT NEED FORENSIC CERTAINTY.

Not a probability score. A defensible forensic finding.

BANKS & NBFCs

Harden video KYC and selfie-based onboarding against synthetic face and face-swap attacks. Align with RBI digital KYC guidelines on fraud prevention.

INSURANCE COMPANIES

Detect synthetic identity fraud at the policy application stage. Prevent fraudulent claims initiated through AI-fabricated identity documents.

PAYMENT PLATFORMS & DIGITAL LENDERS

Protect high-velocity onboarding pipelines from AI-assisted identity fraud at scale.

FINTECH STARTUPS

Integrate forensic deepfake detection into your KYC infrastructure from day one - before fraud exposure creates regulatory or reputational consequences.

REGULATORY BODIES

Assess the deepfake vulnerability of digital KYC implementations within your regulated sector.

FAQ

Frequently asked questions about kyc + identity verification hardening

Hear what our clients say about our IT and security solutions

How does KYC deepfake detection differ from existing liveness detection?

Liveness detection determines whether a camera is looking at a live human face. Deepfake detection determines whether that face is genuine or AI-generated. A real-time face-swap - where an attacker uses their own face as input and replaces it with a synthetic face in real time - passes liveness detection because it is live. It does not pass deepfake detection, because the synthetic face carries forensic signatures that our analysis identifies.

How fast is the API response for real-time onboarding?

Our API is designed for integration into live onboarding flows. Response times for photograph analysis are typically under 3 seconds. Short selfie video analysis (under 10 seconds) typically returns within 10–15 seconds. Longer video analysis is available for async processing. Contact our technical team for SLA specifications.

What happens when a deepfake is detected in a KYC submission?

The API returns a high-risk classification and manipulation probability score. Your system routes the submission according to your configured threshold - typically to automatic rejection or manual review. For confirmed attacks, we produce a full forensic report suitable for regulatory notification and law enforcement referral.

Is this service aligned with RBI Video KYC guidelines?

Yes. Our integration is designed to work within the RBI's Video Customer Identification Process (V-CIP) framework. We do not replace the regulated KYC process - we add a forensic detection layer that strengthens it against AI-assisted fraud while maintaining compliance with the regulatory workflow.

Can this service detect fake Aadhaar or PAN card images submitted during KYC?

Forensic document authentication - detecting manipulated or fabricated identity document images - is a related capability that we offer as part of our Forensic Media Authentication service. It can be integrated alongside KYC deepfake detection for comprehensive identity fraud protection.

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Submit your case. We'll find the truth.

Tell us about your case. We respond with a forensic assessment plan within one business day.

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