#FactCheck -AI-Generated Image Falsely Claims Mohan Bhagwat Laid Foundation of ‘52nd Shakti Peeth’

Introduction

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On June 11, 2026, the Ministry of Home Affairs (MHA) India released one of the most critical Indian government advisories concerning cybersecurity by the Indian Cyber Crime Coordination Centre (I4C) under the National Cybercrime Threat Analytics Unit (NCTAU) concerning the immediate and escalating threat posed by the weaponization of generative artificial intelligence to forge synthetic biometric identities capable of bypassing the existing facial verification mechanisms in India. This advisory is arguably one of the most explicit Indian government recognitions of the deep-seated threats associated with AI-generated deepfakes in the country’s digital financial infrastructure. As many Indian financial service providers embrace facial recognition and biometric verification systems for customer onboarding and authentications, the myth that biometric traits are in themselves secure is slowly unraveling.

The advisory states that cybercriminals are deploying sophisticated AI tools to forge such credible digital simulacrums that exhibit such a precise similarity of facial expressions, eye movements, eye blinks, head movements, and voice patterns that they are virtually indistinguishable from the originals for identity verification mechanisms. Such a confluence of easy AI technology, mass onboarding of digital identities, and underdeveloped infrastructure to detect these synthetics requires urgent regulatory, institutional, and technological intervention.

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The I4C Advisory: Core Findings and Threat Architecture

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In its advisory, NCTAU describes a complex, multi-step attack chain used by scammers to capture biometric information and perpetrate fraud using everyday social interactions. The attackers typically use social media accounts, chat messengers, online job applications, dating applications, or direct phone calls to reach their targets. These interactions are presented as innocuous, such as for video calls, job interviews, identity checks, or just normal conversation with the intention of recording facial and vocal data.

During these interactions, victims may be asked to perform gestures commonly seen in legitimate video calls, such as look directly at the camera, blink, turn their head, or say specific phrases. However, the perpetrators record this video feed without the victim's knowledge and then use deep learning generative AI technologies to process it. Through methods such as Generative Adversarial Networks (GANs) and diffusion models, the scammers create photorealistic synthetic duplicates of the target, capable of mirroring all physical and vocal attributes, such as facial expressions, blinking patterns, head movements, and even voice tones.

The advisory explicitly states that these synthetic identities can be used for a variety of fraudulent activities, such as spoofing face authentication systems, circumventing liveness detection checks, successfully completing video KYC, enabling fraudulent account recovery processes, and illegally accessing bank and financial services. NCTAU also cautions that these voice deepfakes may be paired with facial deepfakes in an attempt to undermine multi-modal authentication methods, and the occurrence of related SIM-swap attacks can eliminate the last layer of security in OTP verification and facilitate a complete account compromise.

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The scale of India's Digital Financial Ecosystem

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The scale of I4C's detected threat can be better understood by considering India's entire digital financial landscape. In 2025 India has witnessed over 228 billion UPI transactions, with 21.63 billion in December alone, an annual growth rate of 29% from 2024, and an active user base of over 500 million by the beginning of 2026. Furthermore, total e-KYC transactions by April 2025 have exceeded 2,393 crore, and thus, it can be seen the extent to which these aspects of finance (banking, insurance, and credit) are now conducted via remote digital verification. The transformation, although instrumental in increasing financial inclusion, has, according to some analysts, created an attack surface of historic scale. As hundreds of millions more become financially integrated via the very same channels that now form the country's infrastructure and systems of identity, the threat from identity-based fraud becomes astronomically large. 

Indian government data further illustrates the extent to which such frauds are a growing concern. Cybercrime cases jumped 42% year-on-year to 2.27 million in 2024, resulting in losses amounting to nearly 228.45 billion. Within that, 1.34 million UPI cases, worth 1,087 crore, occurred in FY2024 alone, while cybercrimes in general soared from 260,000 cases in 2021 to nearly 2.8 million by 2025, totaling cybercrime losses of 22,931 crore.

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How Do Deepfakes Defeat Biometric Systems?

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Deepfake fraud, in particular, is extremely difficult to counteract due to the direct attack it poses on the assumptions underlying traditional verification systems. Passive techniques for verifying a live person from a static photo or video existed that primarily looked for similarities in textures, lighting, and geometrical properties or challenged subjects to perform an action in real-time. But the generation of real-time face swapping that contains blinks, head motion, and speaking can now be produced on even cheap machines. Cybercriminals can exploit these by using virtual camera drivers to "inject" the false image feed into the live verification session, nullifying any passive liveness checks. Data from the industry clearly shows the extent of this problem: iProov, a leading authenticator, documented a 7.8-fold rise in injection attacks in 2024; Jumio noted an 88% increase in deepfake-induced fraud in 2025; and voice-deepfake attacks on financial call centres saw a 6.8-fold increase in 2024. 

Gartner had also predicted that 30% of organizations would have lost trust in facial verification alone by 2026, and work by Kubam (2024) confirmed a lack of multi-factor authentication such as cross-validation of biometric, document, and device integrity signals used within KYC platforms. Such fears have been corroborated by FATF's 2025 Horizon Scan, which classified deepfakes as an emerging threat to the AML/CDD framework and digital identity verification.

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Recommendations by I4C

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I4C's advisory goes beyond merely warning about threats and lists actionable recommendations to both institutions and citizens. Banks, NBFCs, fintech companies, and onboarding platforms have been advised to incorporate advanced deepfake and synthetic content detection techniques into their verification flows, given that first-generation liveness checks are not enough. They should employ a multi-modal strategy that considers face features along with the device, network signals, behavioral biometrics, and alignment of face and voice. They also have been advised to make a more robust upgrade of their onboarding and verification platforms, as much of the current remote verification architecture was built in a less sophisticated threat context. This aligns with the KYC Master Direction of the RBI that specifies end-to-end encryption, IP-based access controls, geotagging, and technology platforms and systems are to be upgraded frequently. Citizens are advised by I4C to keep their biometric information secure; be careful of unsolicited video calls and online interviews; keep an eye on transaction-related SMS and emails; and report suspicious instances through the National Cybercrime Reporting Portal and through the telephone number 1930. It is clarified that this advisory aims to create awareness of developing AI-based identity fraud schemes, and it is not a declaration that any specific organization, platform, or service is vulnerable.

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^{The Legislative Dimension: India's Evolving Response to Synthetic Media}

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The problem highlighted by I4C is evolving in a heavily legislated environment, not a legal void. The first-ever legal definition of "synthetic media" in India came into force in the Information Technology Amendment Rules 2026 on February 20, 2026. These rules oblige significant platforms to remove deepfakes and non-consensual intimate media within three hours and two hours, respectively, or lose their safe harbor protection under Section 79 of the IT Act. While the provision focuses on harm stemming from content, this creates a new legal and normative precedent on dealing with AI-induced deception. However, financial frauds facilitated through deepfakes are not content but involve the use of remote identity verification and customer onboarding systems, which require specific technical standards. The overall policy environment when viewed in light of the FATF Horizon Scan, RBI KYC rules, and recent I4C advisory already offers significant scope to define and introduce mandatory deepfake detection and identity assurance standards even before these are explicitly legislated.

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Institutional and Technical Recommendations

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1. For Financial Institutions and Fintech platforms: The existing verification systems (liveness detection) must be replaced with multi-layered deep-fake detection processes, including injection attack detection, behavioral biometrics, cross-modal facial and voice verification, device integrity check, and hardware attestation during onboarding itself.
2. For Regulators: The RBI and Ministry of Home Affairs should work together to release technical standards that specify minimum deepfake-detection requirements for video-KYC and remote onboarding systems in line with FATF digital identity guidance and the upcoming EU AI Act.
3. For researchers and academia: Dedicated studies on deepfake detection performance across varied demographic, linguistic, and regional populations of India should be prioritized. Current models are mostly trained on Western data.
4. For citizens: Face recordings and other biometric information should be treated with the same caution as sensitive financial details. Be wary of unsolicited video calls, remote interviews, or verification requests from unknown people, and report suspicious activities on any account immediately via the National Cybercrime Helpline (1930) or cybercrime.gov.in.

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Conclusion

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The I4C advisory of June 2026 marks a critical recognition that advances in generative AI have fundamentally challenged the reliability of facial biometric authentication. For a country whose digital financial ecosystem relies heavily on remote identity verification, the implications are significant. The integrity of India's financial inclusion framework now depends on rapidly strengthening identity assurance mechanisms. Addressing this threat will require coordinated action by regulators, financial institutions, technology developers, researchers, and citizens to develop robust technical standards, enhance detection capabilities, and build public awareness at a pace matching the evolution of AI-enabled fraud.

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References and Sources

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1. I4C / NCTAU Advisory, June 2026 — National Cybercrime Threat Analytics Unit, Indian Cyber Crime Coordination Centre, Ministry of Home Affairs, Government of India. Advisory on AI-Enabled Deepfake Identity Fraud. Issued 11 June 2026.
2. shuftipro.com/blog/key-takeaways-from-fatf-horizon-scan-report-on-deepfakes
3. https://timesofindia.indiatimes.com/india/fraudsters-creating-deepfakes-to-bypass-facial-authentication-i4c/articleshow/131668958.cms
4. hyperverge.co/blog/what-is-a-deepfake
5. iproov.com/reports/threat-intelligence-report-2026
6. arxiv.org/pdf/2601.06241

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Introduction

Summer vacations have always been one of the most anticipated times in a child’s life. In earlier times, it was something entirely different. The season was filled with outdoor games, muddy hands, mango-stained mouths, and stories shared with cousins under the stars. Children lived in the moment, playing in parks, riding bicycles, and inventing new adventures without a screen in sight. Today, those same summer days are shaped by glowing devices, virtual games, and hours spent online. While technology brings learning and entertainment, it also invites risks that parents cannot ignore. The Cyber Mom Toolkit is here to help you navigate this shift, offering simple and thoughtful ways to keep your children safe, balanced, and joyful during these screen filled holidays.
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The Hidden Cyber Risks of Summer Break

With increased leisure time and less supervision, children are likely to venture into unknown reaches of the internet. I4C reports indicate that child-related cases, such as cyberbullying, sextortion, and viewing offensive content, surge during school vacations. Gaming applications, social networking applications, and YouTube can serve as entry points for cyber predators and spammers. That's why it is important that parents, particularly mothers know what digital spaces their children live in and how to intervene appropriately.

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Your Action Plan for Being a Cyber Smart Mom

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Moms Need to Get Digitally Engaged 

You do not need to be a tech expert to become a cyber smart mom. With just a few simple digital skills, you can start protecting your child online with confidence and ease.

1. Know the Platforms Your Children Use

Spend some time investigating apps such as Instagram, Snapchat, Discord, YouTube, or computer games like Roblox and Minecraft. Familiarise yourself with the type of content, chat options, and privacy loopholes they may have.

2. Install Parental Controls

Make use of native features on devices (Android, iOS, Windows) to limit screen time, block mature content, and track downloads. Applications such as Google Family Link and Apple Screen Time enable parents to control apps and web browsing. 

3. Develop a Family Cyber Agreement

• Establish common rules such as:
• No devices in bedrooms past 9 p.m.
• Add only safe connections on social media.
• Don't open suspicious messages or click on mysterious links.
• Always tell your mom if something makes you feel uncomfortable online.

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‍Talk Openly and Often

Kids tend to hide things online because they don't want to get punished or embarrassed. Trust is built better than monitoring. Here's how:

• Have non-judgmental chats about what they do online.
• Use news reports or real-life cases as conversation starters: "Did you hear about that YouTuber's hacked account?
• Encourage them to question things if they're confused or frightened.
• Honour their online life as a legitimate aspect of their lives.

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Look for the Signs of Online Trouble

Stay alert to subtle changes in your child’s behavior, as they can be early signs of trouble in their online world.

• Sudden secrecy or aggression when questioned about online activity.
• Overuse of screens, particularly in the evening.
• Deterioration in school work or interest in leisure activities.
• Mood swings, anxiety, or withdrawn behaviour.

If you notice these, speak to your child calmly. You can also report serious matters such as cyberbullying or blackmail on the Cybercrime Helpline 1930 or visit https://cybercrime.gov.in

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Support Healthy Digital Behaviours

Teach your kids to be good netizens by leading them to:

• Reflect Before Posting: No address, school name, or family information should ever appear in public posts.
• Set Strong Passwords: Passwords must be long, complicated, and not disclosed to friends, even best friends.
• Enable Privacy Settings: Keep social media accounts privately. Disable location sharing. Restrict comments and messages from others.
• Vigilance: Encourage them to spot fake news, scams, and manipulative ads. Critical thinking is the ultimate defence.

Stay alert to subtle changes in your child’s behavior, as they can be early signs of trouble in their online world.

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Where to Learn More and Get Support as a Cyber Mom

Cyber moms looking to deepen their understanding of online safety can explore a range of helpful resources offered by CyberPeace. Our blog features easy-to-understand articles on current cyber threats, safety tips, and parenting guidance for the digital age. You can also follow our social media pages for regular updates, quick tips, and awareness campaigns designed especially for families. If you ever feel concerned or need help, the CyberPeace Helpline is available to offer support and guidance. (+91 9570000066 or write to us at helpline@cyberpeace.net). For those who want to get more involved, joining the CyberPeace Corps allows you to become part of a larger community working to promote digital safety and cyber awareness across the country.

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Empowering Mothers Empowers Society

We at CyberPeace feel that every mother, irrespective of her background and technological expertise, has the potential to be a Cyber Mom. The intention is not to control the child but to mentor towards safer decisions, identify issues early, and prepare them for a lifetime of online responsibility. Mothers are empowered when they know. And children are safe when they are protected.

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Conclusion

The web isn't disappearing, and neither are its dangers. But when mothers are digital role models, they can make summer screen time a season of wise decisions. This summer, become a Cyber Mom: someone who learns, leads, and listens. Whether it's installing a parental control app, discussing openly about cyberbullying, or just asking your child, "What did you discover online today? " that engagement can make a difference. This summer break, help your child become digitally equipped with the skills and knowledge they need to navigate the online world safely and confidently.

Cyber safety starts at home, and there's no better point of departure than being alongside your child, rather than behind them.

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References

• https://cybercrime.gov.in
• https://support.apple.com/en-in/HT208982
• https://beinternetawesome.withgoogle.com
• https://www.cyberpeace.org
• https://ncpcr.gov.in

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EXECUTIVE SUMMARY:

A viral video is surfacing claiming to capture an aerial view of Mount Kailash that has breathtaking scenery apparently providing a rare real-life shot of Tibet's sacred mountain. Its authenticity was investigated, and authenticity versus digitally manipulative features were analyzed.

CLAIMS:

The viral video claims to reveal the real aerial shot of Mount Kailash, as if exposing us to the natural beauty of such a hallowed mountain. The video was circulated widely in social media, with users crediting it to be the actual footage of Mount Kailash.

FACTS:

The viral video that was circulated through social media was not real footage of Mount Kailash. The reverse image search revealed that it is an AI-generated video created by Sonam and Namgyal, two Tibet based graphic artists on Midjourney. The advanced digital techniques used helped to provide a realistic lifelike scene in the video.

No media or geographical source has reported or published the video as authentic footage of Mount Kailash. Besides, several visual aspects, including lighting and environmental features, indicate that it is computer-generated.

For further verification, we used Hive Moderation, a deep fake detection tool to conclude whether the video is AI-Generated or Real. It was found to be AI generated.

CONCLUSION:

The viral video claiming to show an aerial view of Mount Kailash is an AI-manipulated creation, not authentic footage of the sacred mountain. This incident highlights the growing influence of AI and CGI in creating realistic but misleading content, emphasizing the need for viewers to verify such visuals through trusted sources before sharing.

• Claim: Digitally Morphed Video of Mt. Kailash, Showcasing Stunning White Clouds
• Claimed On: X (Formerly Known As Twitter), Instagram
• Fact Check: AI-Generated (Checked using Hive Moderation).