#FactCheck-Old 2020 Lockdown Video of PM Modi Resurfaces as Recent

‍

Executive Summary

‍

Border 2 is set to hit theatres today, January 23. Meanwhile, a photograph is going viral on social media showing actors Sunny Deol, Suniel Shetty, Akshaye Khanna and Jackie Shroff sitting together and having a meal, while a woman is seen serving food to them. Social media users are sharing this image claiming that it was taken during the shooting of Border 2. It is being alleged that the photograph shows a moment from the film’s set, where the actors were having food during a break in shooting. However, Cyber Peace research has found the viral claim to be false. Our investigation revealed that users are sharing an AI-generated image with a misleading claim.

‍

Claim

‍

On Instagram, a user shared the viral image on January 9, 2026, with the caption: “During the shooting of Border 2.” The link to the post, its archive link and screenshots can be seen below.

• https://www.instagram.com/p/DTRr5KHidnZ/?igsh=cmNjenRvczE3cm5v 
• https://archive.ph/EEYp8 

‍

‍

‍

Fact Check:

‍

To verify the claim, we first checked Google for the official star cast of the film Border 2. Our search showed that the names of the actors seen in the viral image are not part of the film’s officially announced cast. Next, upon closely examining the image, we noticed that the facial structure and expressions of the actors appeared unnatural and distorted. The facial features did not look realistic, raising suspicion that the image might have been created using Artificial Intelligence (AI). We then scanned the viral image using the AI-generated content detection tool HIVE Moderation. The results indicated that the image is 95 per cent AI-generated.

‍

‍

In the final step of our investigation, we analysed the image using another AI-detection tool, Undetectable AI. According to the results, the viral image was confirmed to be AI-generated.

‍

Conclusion:

‍

Our research confirms that social media users are sharing an AI-generated image while falsely claiming that it is from the shooting of Border 2. The viral claim is misleading and false.

‍

Our research revealed that users are sharing an AI-generated image along with misleading claims

‍

Introduction

In a world where Artificial Intelligence (AI) is already changing the creation and consumption of content at a breathtaking pace, distinguishing between genuine media and false or doctored content is a serious issue of international concern. AI-generated content in the form of deepfakes, synthetic text and photorealistic images is being used to disseminate misinformation, shape public opinion and commit fraud. As a response, governments, tech companies and regulatory bodies are exploring ‘watermarking’ as a key mechanism to promote transparency and accountability in AI-generated media. Watermarking embeds identifiable information into content to indicate its artificial origin. 

Government Strategies Worldwide

Governments worldwide have pursued different strategies to address AI-generated media through watermarking standards. In the US, President Biden's 2023 Executive Order on AI directed the Department of Commerce and the National Institute of Standards and Technology (NIST) to establish clear guidelines for digital watermarking of AI-generated content. This action puts a big responsibility on large technology firms to put identifiers in media produced by generative models. These identifiers should help fight misinformation and address digital trust.

The European Union, in its Artificial Intelligence Act of 2024, requires AI-generated content to be labelled. Article 50 of the Act specifically demands that developers indicate whenever users engage with synthetic content. In addition, the EU is a proponent of the Coalition for Content Provenance and Authenticity (C2PA), an organisation that produces secure metadata standards to track the origin and changes of digital content.

India is currently in the process of developing policy frameworks to address AI and synthetic content, guided by judicial decisions that are helping shape the approach. In 2024, the Delhi High Court directed the central government to appoint members for a committee responsible for regulating deepfakes. Such moves indicate the government's willingness to regulate AI-generated content. 

China, has already implemented mandatory watermarking on all deep synthesis content. Digital identifiers must be embedded in AI media by service providers, and China is one of the first countries to adopt stern watermarking legislation.

Understanding the Technical Feasibility

Watermarking AI media means inserting recognisable markers into digital material. They can be perceptible, such as logos or overlays or imperceptible, such as cryptographic tags or metadata. Sophisticated methods such as Google's SynthID apply imperceptible pixel-level changes that remain intact against standard image manipulation such as resizing or compression. Likewise, C2PA metadata standards enable the user to track the source and provenance of an item of content.

Nonetheless, watermarking is not an infallible process. Most watermarking methods are susceptible to tampering. Aforementioned adversaries with expertise, for instance, can use cropping editing or AI software to delete visible watermarks or remove metadata. Further, the absence of interoperability between different watermarking systems and platforms hampers their effectiveness. Scalability is also an issue enacting and authenticating watermarks for billions of units of online content necessitates huge computational efforts and routine policy enforcement across platforms. Scientists are currently working on solutions such as blockchain-based content authentication and zero-knowledge watermarking, which maintain authenticity without sacrificing privacy. These new techniques have potential for overcoming technical deficiencies and making watermarking more secure.

Challenges in Enforcement

Though increasing agreement exists for watermarking, implementation of such policies is still a major issue. Jurisdictional constraints prevent enforceability globally. A watermarking policy within one nation might not extend to content created or stored in another, particularly across decentralised or anonymous domains. This creates an exigency for international coordination and the development of worldwide digital trust standards. While it is a welcome step that platforms like Meta, YouTube, and TikTok have begun flagging AI-generated content, there remains a pressing need for a standardised policy that ensures consistency and accountability across all platforms. Voluntary compliance alone is insufficient without clear global mandates.

User literacy is also a significant hurdle. Even when content is properly watermarked, users might not see or comprehend its meaning. This aligns with issues of dealing with misinformation, wherein it's not sufficient just to mark off fake content, users need to be taught how to think critically about the information they're using. Public education campaigns, digital media literacy and embedding watermarking labels within user-friendly UI elements are necessary to ensure this technology is actually effective.

Balancing Privacy and Transparency

While watermarking serves to achieve digital transparency, it also presents privacy issues. In certain instances, watermarking might necessitate the embedding of metadata that will disclose the source or identity of the content producer. This threatens journalists, whistleblowers, activists, and artists utilising AI tools for creative or informative reasons. Governments have a responsibility to ensure that watermarking norms do not violate freedom of expression or facilitate surveillance. The solution is to achieve a balance by employing privacy-protection watermarking strategies that verify the origin of the content without revealing personally identifiable data. "Zero-knowledge proofs" in cryptography may assist in creating watermarking systems that guarantee authentication without undermining user anonymity.

On the transparency side, watermarking can be an effective antidote to misinformation and manipulation. For example, during the COVID-19 crisis, misinformation spread by AI on vaccines, treatments and public health interventions caused widespread impact on public behaviour and policy uptake. Watermarked content would have helped distinguish between authentic sources and manipulated media and protected public health efforts accordingly.

Best Practices and Emerging Solutions

Several programs and frameworks are at the forefront of watermarking norms. Adobe, Microsoft and others' collaborative C2PA framework puts tamper-proof metadata into images and videos, enabling complete traceability of content origin. SynthID from Google is already implemented on its Imagen text-to-image model and secretly watermarks images generated by AI without any susceptibility to tampering. The Partnership on AI (PAI) is also taking a leadership role by building out ethical standards for synthetic content, including standards around provenance and watermarking. These frameworks become guides for governments seeking to introduce equitable, effective policies. In addition, India's new legal mechanisms on misinformation and deepfake regulation present a timely point to integrate watermarking standards consistent with global practices while safeguarding civil liberties.

Conclusion

Watermarking regulations for synthetic media content are an essential step toward creating a safer and more credible digital world. As artificial media becomes increasingly indistinguishable from authentic content, the demand for transparency, origin, and responsibility increases. Governments, platforms, and civil society organisations will have to collaborate to deploy watermarking mechanisms that are technically feasible, compliant and privacy-friendly. India is especially at a turning point, with courts calling for action and regulatory agencies starting to take on the challenge. Empowering themselves with global lessons, applying best-in-class watermarking platforms and promoting public awareness can enable the nation to acquire a level of resilience against digital deception. 

References

1. https://artificialintelligenceact.eu/
2. https://www.cyberpeace.org/resources/blogs/delhi-high-court-directs-centre-to-nominate-members-for-deepfake-committee
3.  https://c2pa.org
4. https://www.cyberpeace.org/resources/blogs/misinformations-impact-on-public-health-policy-decisions
5.  https://deepmind.google/technologies/synthid/
6. https://www.imatag.com/blog/china-regulates-ai-generated-content-towards-a-new-global-standard-for-transparency

‍

Introduction
‍

India's digital governance system is experiencing a significant transformation. The Department of Telecommunications (DoT) has extended the deadline for implementing SIM binding requirements for messaging platforms to December 31, 2026, while also stepping back from earlier proposals such as mandatory periodic web logouts. 

The government extended the current proposal but decided to cancel its previous requirement, which mandated messaging platforms to implement mandatory logout periods. The authorities implemented this action to control the increasing occurrence of digital impersonation, financial fraud, online scams and identity theft, which occurs through messaging applications.

The authorities are said to have implemented this action to control the increasing occurrence of digital impersonation, financial fraud, online scams and identity theft, which occurs through messaging applications.
‍

What Has Changed
‍

The SIM binding mandate, which the Telecommunication Cyber Security framework introduced in late 2025 requires messaging platforms to maintain user account connections with active SIM cards that match their registered mobile numbers. 

Platforms received a brief period for compliance with the original rules. Industry stakeholders, which included messaging services and device manufacturers, reported that they faced major technical and operational problems when trying to constantly verify SIM status on different devices and operating systems. 

The government postponed the compliance date to December 2026 to give organisations extra time for the gradual implementation of requirements. The policy now permits platforms to use risk-based or adaptive logout mechanisms, which enable security management without enforcing standard security procedures through their web messaging application platforms. 

‍

Why the Extension Was Necessary
‍

The extension operates as a recognition of both technical feasibility constraints and ecosystem's complex nature. Multiple devices at present enable messaging platforms to function which includes smartphones and desktops and web interfaces with real time synchronization. The system needs complete operational system and hardware component integration to maintain active SIM verification throughout all environments because stakeholders estimated that this process would take time to achieve proper results. 

The operating system providers and smartphone manufacturers expressed their worries about system limitations, which include testing procedures and compatibility problems. 

The government recognised through its deadline extension that security requirements need technical feasibility and scalability to function properly without causing service interruptions or requiring immediate implementation.

‍

Security Rationale Behind SIM Binding
‍

The SIM binding system serves its main purpose to enhance accountability while it protects digital communication systems from unauthorised use. Authorities have identified that messaging accounts can remain active even after the associated SIM card is removed, deactivated, or moved across regions. The situation creates paths for criminals to commit fraud and impersonation while perpetrating cybercrime across international borders because they can use digital identities that are hard to trace. 

The SIM binding system exists to solve this problem by 

• requiring active, Virtual KYC-verified SIMs to authenticate messaging accounts. 
• Users cannot access the system until they connect their active SIM. 
• The system maintains the capacity to track and authenticate digital identities. 

The measure aims to eliminate a security gap that digital communication systems currently use for fraudulent activities and identity theft.

‍

Shift Toward Risk-Based Regulation
‍

The current development marks a major change because it no longer applies fixed rules that used to determine what organisations must do, but now uses risk assessment methods. The previous plan, which required users to log out every six hours from web sessions, has been replaced by platforms that now log users out based on their risk assessment. The shift demonstrates that cybersecurity needs to implement security measures that require specific context and need to match the existing environment. Organisations face challenges when trying to apply standard rules because users exhibit various behaviours while using different devices on multiple platforms. 

The risk-based model enables platforms to detect suspicious activity through dynamic monitoring, which establishes strict security measures for high-risk situations while preserving system access during periods of low risk.

‍

Implications for the Digital Ecosystem
‍

The extension, together with its related policy alterations, creates significant effects for organisations. The extra time allows the industry to create systems that can work together with different ecosystems while testing their implementation process and matching their required operational standards. 

The shift shows policymakers that they should adopt a process that combines multiple rounds of assessment with stakeholder input to develop their regulations. 

The upcoming changes will create invisible effects for users, which will determine the future methods of digital identity verification and the security functions of communication platforms.

‍

Conclusion
‍

The extension of the SIM binding deadline represents a new approach to regulations instead of being a regulatory rollback. The process requires both dedicated efforts and actual implementation to create secure digital environments. 

India needs to establish secure and scalable user-friendly systems while advancing its digital infrastructure development. The current developments show progress toward achieving a solution that protects cybersecurity needs while considering technological facts and user experience. Organisations face two main obstacles in modern interdependent systems: they must protect their systems while maintaining user trust and system protection, and their capability to operate over extended periods.
‍

References
‍

• https://www.thehindu.com/sci-tech/technology/government-shelves-periodic-web-logout-for-chat-apps-extends-sim-binding-to-december-31/article70811929.ece
• https://www.gadgets360.com/telecom/news/dot-sim-binding-mandate-extension-2026-report-11301917

‍