#FactCheck-AI-generated video falsely claims CDS Raja Subramani confirmed resignation of over 30,000 Indian soldiers
Executive Summary
A video is being widely shared on social media, allegedly showing Chief of Defence Staff (CDS) Raja Subramani referring to the resignation of more than 30,000 Indian soldiers. The video is being circulated with the claim that CDS Raja Subramani confirmed that over 30,000 personnel resigned in protest following the demonstration held at Jantar Mantar. CyberPeace Research Wing’s research found that the viral claim is false. The research revealed that the video featuring CDS Raja Subramani has been digitally manipulated and created using Artificial Intelligence (AI). The original video does not contain any statement related to soldiers’ resignations or the Jantar Mantar protest.
Claim
A Facebook user shared the video with a claim stating: “After the protests at Jantar Mantar, India’s Chief of Defence Staff Raja Subramani has issued an emergency alert, saying that more than 30,000 soldiers have resigned in protest because their children were brutally beaten at Jantar Mantar.”
The post link, archive link and screenshot are provided below:

Fact Check
To verify the authenticity of the viral video, we extracted a key frame and conducted a reverse image search using Google Lens. During the search, we found the same video uploaded by the Eastern Command of the Indian Army (@easterncomd) on its official X account on July 21, 2026. The original video shows CDS Raja Subramani extending his best wishes to all participating teams of the 135th Indian Oil Durand Cup Football Tournament. There is no mention of any soldier resignations or the Jantar Mantar protest in the original footage.
https://x.com/easterncomd/status/2079485496988967225

Further research led us to the same video posted by the Instagram account myyouthindia, where CDS Raja Subramani can again be seen wishing teams participating in the 135th Indian Oil Durand Cup Football Tournament.
https://www.instagram.com/reels/DbEGRGBsKv8/

Conclusion
The research established that the viral video of CDS Raja Subramani has been manipulated using AI-generated content. The original video is related to the 135th Indian Oil Durand Cup Football Tournament and does not contain any statement about the resignation of 30,000 Indian soldiers or the Jantar Mantar protest. The digitally altered video is being shared with a false claim.
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Executive Summary
A video is being widely shared on social media claiming that a leopard dragged away a passenger from a moving train. Several users are circulating the clip as a real incident. However, CyberPeace Research Wing research found the claim to be false. Our research revealed that the viral video is not real and was generated using Artificial Intelligence (AI).
Claim
An X user (formerly Twitter) shared the viral clip with the caption:“A leopard snatched a man from a moving train.”The link, archived version, and screenshot of the post are provided below.

Fact Check
On closely examining the video, several visual inconsistencies were noticed. The leopard’s body appears distorted at multiple points in the clip. In some frames, parts of the animal’s body seem to merge into the background, while in others, sections appear incomplete or disappear entirely — something not typically seen in authentic footage. In the final part of the video, where the leopard is allegedly shown attacking a passenger, the person’s hands, limbs, and body also appear blurred and distorted. Additionally, unusual and selective blurring can be observed throughout the video, indicating possible editing or AI manipulation.
To further verify the clip, we scanned the viral video using the AI detection tool Sightengine. According to the results, the video showed an 86 percent probability of being AI-generated.

As part of the research , we also analysed the clip using another AI detection platform, UndetectableTM AI, which likewise indicated that the viral video was AI-generated.

Conclusion
Our research found that the viral video claiming to show a leopard dragging away a passenger from a moving train is fake. The clip is AI-generated and does not depict a real incident.
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Introduction
On September 27, 2024, the Indian government took a significant step toward enhancing national security by amending business allocation rules through an extraordinary gazette notification. This amendment, which assigns specific roles to different Union Ministries and Departments regarding telecom network security, cybersecurity, and cybercrime, aims to clarify and streamline efforts in these critical areas. With India's evolving cybersecurity landscape, the need for a structured regulatory framework is pressing, as threats grow in complexity. Recent developments, such as the July 2024 global cyber outage and increasing cyber crimes like SMS scams, highlight the urgency of such reforms. Under Article 77 clause (3), the President amended the Government of India (Allocation of Business) Rules, 1961, to designate clearer responsibilities, reinforcing India's readiness to tackle emerging digital threats.
Key Highlights of the Gazette Notification
- Telecom Networks Security: A new entry ‘1A’ matters relating to the security of telecom networks" has been added under the Department of Telecommunications, highlighting an increased focus on securing the nation's telecom infrastructure.
- Cyber Security Responsibilities: Cyber security responsibilities have been added as a new entry under the Ministry of Electronics and Information Technology (MeitY), "5B. This assigns responsibility to MeitY for cybersecurity issues, concerning the Information Technology Act of 2000, giving the ministry the mandate to support other ministries or departments regarding cybersecurity matters.
- Oversight for Cyber Crime: Under the Ministry of Home Affairs, Department of Internal Security, a new entry "36A Matters relating to Cyber Crime" is introduced. This emphasises that the MHA will handle cybercrime issues, highlighting the government's attention toward enhancing internal security against cyber threats.
- Cyber Security Strategic Coordination: Any matter related to the "overall coordination and strategic direction for Cyber Security," has been given to the National Security Council Secretariat (NSCS). This consolidates the role of the NSCS in guiding cybersecurity strategies at the national level.
Impact on Policy and Governance
The amendments introduced through the notification are poised to significantly enhance the Indian government's cybersecurity framework by clarifying the roles of various ministries. The clear separation of responsibilities, telecom network security to the Department of Telecommunications, cybercrime to the Ministry of Home Affairs, and overall cyber strategy to the National Security Council Secretariat could seen as better coordination between ministries. This clarity is expected to reduce bureaucratic delays, allowing for quicker response times in addressing cyber threats, cybercrimes, and telecom vulnerabilities. Such efficient handling is crucial, especially in the evolving landscape of digital threats. These changes have been largely welcomed as it recognises the potential for improved regulatory oversight and faster policy implementation and a step forward in bolstering India’s cyber resilience.
Conclusion
The Government of India (Allocation of Business) Rules, 1961 amendments mark a critical step in strengthening India's cybersecurity framework. By setting out specific responsibilities for telecom network security, cybercrime, and overall cybersecurity strategy among key ministries, the government seeks to improve coordination and reduce bureaucratic delays. This policy shift is poised to enhance India’s digital resilience, providing a foundation for rapid responses to emerging cyber threats. However, success hinges on effective implementation, resource allocation, and collaboration across ministries. Addressing concerns like potential jurisdictional overlap and ensuring the inclusion of bodies like NCIIPC will be pivotal to ensuring comprehensive cyber protection. The complexity of cyber crimes and threats is evolving every day and the government's ability and preparedness to handle them with regulatory insight is a high priority.
References
- https://egazette.gov.in/(S(4r5oclueuwrjypfvr5b4vtzg))/ViewPDF.aspx
- https://www.ptinews.com/story/national/govt-specifies-roles-on-matters-related-to-security-of-telecom-network-cyber-security-and-cyber-crime/1856627
- https://www.thehindubusinessline.com/economy/centre-to-further-streamline-mechanism-to-deal-with-cyber-security-cyber-crime/article68694330.ece
- https://telecom.economictimes.indiatimes.com/news/policy/govt-specifies-roles-on-matters-related-to-security-of-telecom-network-cyber-security-and-cyber-crime/113754501

Brief Overview of the EU AI Act
The EU AI Act, Regulation (EU) 2024/1689, was officially published in the EU Official Journal on 12 July 2024. This landmark legislation on Artificial Intelligence (AI) will come into force just 20 days after publication, setting harmonized rules across the EU. It amends key regulations and directives to ensure a robust framework for AI technologies. The AI Act, a set of EU rules governing AI, has been in development for two years and now, the EU AI Act enters into force across all 27 EU Member States on 1 August 2024, with certain future deadlines tied up and the enforcement of the majority of its provisions will commence on 2 August 2026. The law prohibits certain uses of AI tools, including those that threaten citizens' rights, such as biometric categorization, untargeted scraping of faces, and systems that try to read emotions are banned in the workplace and schools, as are social scoring systems. It also prohibits the use of predictive policing tools in some instances. The law takes a phased approach to implementing the EU's AI rulebook, meaning there are various deadlines between now and then as different legal provisions will start to apply.
The framework puts different obligations on AI developers, depending on use cases and perceived risk. The bulk of AI uses will not be regulated as they are considered low-risk, but a small number of potential AI use cases are banned under the law. High-risk use cases, such as biometric uses of AI or AI used in law enforcement, employment, education, and critical infrastructure, are allowed under the law but developers of such apps face obligations in areas like data quality and anti-bias considerations. A third risk tier also applies some lighter transparency requirements for makers of tools like AI chatbots.
In case of failure to comply with the Act, the companies in the EU providing, distributing, importing, and using AI systems and GPAI models, are subject to fines of up to EUR 35 million or seven per cent of the total worldwide annual turnover, whichever is higher.
Key highlights of EU AI Act Provisions
- The AI Act classifies AI according to its risk. It prohibits Unacceptable risks such as social scoring systems and manipulative AI. The regulation mostly addresses high-risk AI systems.
- Limited-risk AI systems are subject to lighter transparency obligations and according to the act, the developers and deployers must ensure that the end-users are aware that the interaction they are having is with AI such as Chatbots and Deepfakes. The AI Act allows the free use of minimal-risk AI. This includes the majority of AI applications currently available in the EU single market like AI-enabled video games, and spam filters, but with the advancement of Gen AI changes with regards to this might be done. The majority of obligations fall on providers (developers) of high-risk AI systems that intend to place on the market or put into service high-risk AI systems in the EU, regardless of whether they are based in the EU or a third country. And also, a third-country provider where the high-risk AI system’s output is used in the EU.
- Users are natural or legal persons who deploy an AI system in a professional capacity, not affected end-users. Users (deployers) of high-risk AI systems have some obligations, though less than providers (developers). This applies to users located in the EU, and third-country users where the AI system’s output is used in the EU.
- General purpose AI or GPAI model providers must provide technical documentation, and instructions for use, comply with the Copyright Directive, and publish a summary of the content used for training. Free and open license GPAI model providers only need to comply with copyright and publish the training data summary, unless they present a systemic risk. All providers of GPAI models that present a systemic risk – open or closed – must also conduct model evaluations, and adversarial testing, and track and report serious incidents and ensure cybersecurity protections.
- The Codes of Practice will account for international approaches. It will cover but not necessarily be limited to the obligations, particularly the relevant information to include in technical documentation for authorities and downstream providers, identification of the type and nature of systemic risks and their sources, and the modalities of risk management accounting for specific challenges in addressing risks due to the way they may emerge and materialize throughout the value chain. The AI Office may invite GPAI model providers, and relevant national competent authorities to participate in drawing up the codes, while civil society, industry, academia, downstream providers and independent experts may support the process.
Application & Timeline of Act
The EU AI Act will be fully applicable 24 months after entry into force, but some parts will be applicable sooner, for instance the ban on AI systems posing unacceptable risks will apply six months after the entry into force. The Codes of Practice will apply nine months after entry into force. Rules on general-purpose AI systems that need to comply with transparency requirements will apply 12 months after the entry into force. High-risk systems will have more time to comply with the requirements as the obligations concerning them will become applicable 36 months after the entry into force. The expected timeline for the same is:
- August 1st, 2024: The AI Act will enter into force.
- February 2025: Prohibition of certain AI systems - Chapters I (general provisions) & II (prohibited AI systems) will apply; Prohibition of certain AI systems.
- August 2025: Chapter III Section 4 (notifying authorities), Chapter V (general purpose AI models), Chapter VII (governance), Chapter XII (confidentiality and penalties), and Article 78 (confidentiality) will apply, except for Article 101 (fines for General Purpose AI providers); Requirements for new GPAI models.
- August 2026: The whole AI Act applies, except for Article 6(1) & corresponding obligations (one of the categories of high-risk AI systems);
- August 2027: Article 6(1) & corresponding obligations apply.
The AI Act sets out clear definitions for the different actors involved in AI, such as the providers, deployers, importers, distributors, and product manufacturers. This means all parties involved in the development, usage, import, distribution, or manufacturing of AI systems will be held accountable. Along with this, the AI Act also applies to providers and deployers of AI systems located outside of the EU, e.g., in Switzerland, if output produced by the system is intended to be used in the EU. The Act applies to any AI system within the EU that is on the market, in service, or in use, covering both AI providers (the companies selling AI systems) and AI deployers (the organizations using those systems).
In short, the AI Act will apply to different companies across the AI distribution chain, including providers, deployers, importers, and distributors (collectively referred to as “Operators”). The EU AI Act also has extraterritorial application and can also apply to companies not established in the EU, or providers outside the EU if they -make an AI system or GPAI model available on the EU market. Even if only the output generated by the AI system is used in the EU, the Act still applies to such providers and deployers.
CyberPeace Outlook
The EU AI Act, approved by EU lawmakers in 2024, is a landmark legislation designed to protect citizens' health, safety, and fundamental rights from potential harm caused by AI systems. The AI Act will apply to AI systems and GPAI models. The Act creates a tiered risk categorization system with various regulations and stiff penalties for noncompliance. The Act adopts a risk-based approach to AI governance, categorizing potential risks into four tiers: unacceptable, high, limited, and low. Violations of banned systems carry the highest fine: €35 million, or 7 percent of global annual revenue. It establishes transparency requirements for general-purpose AI systems. The regulation also provides specific rules for general-purpose AI (GPAI) models and lays down more stringent requirements for GPAI models with 'high-impact capabilities' that could pose a systemic risk and have a significant impact on the internal market. For high-risk AI systems, the AI Act addresses the issues of fundamental rights impact assessment and data protection impact assessment.
The EU AI Act aims to enhance trust in AI technologies by establishing clear regulatory standards governing AI. We encourage regulatory frameworks that strive to balance the desire to foster innovation with the critical need to prevent unethical practices that may cause user harm. The legislation can be seen as strengthening the EU's position as a global leader in AI innovation and developing regulatory frameworks for emerging technologies. It sets a global benchmark for regulating AI. The companies to which the act applies will need to make sure their practices align with the same. The act may inspire other nations to develop their own legislation contributing to global AI governance. The world of AI is complex and challenging, the implementation of regulatory checks, and compliance by the concerned companies, all pose a conundrum. However, in the end, balancing innovation with ethical considerations is paramount.
At the same hand, the tech sector welcomes regulatory progress but warns that overly-rigid regulations could stifle innovation. Hence flexibility and adaptability are key to effective AI governance. The journey towards robust AI regulation has begun in major countries, and it is important that we find the right balance between safety and innovation and also take into consideration the industry reactions.
References:
- https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202401689
- https://www.theverge.com/2024/7/12/24197058/eu-ai-act-regulations-bans-deadline
- https://techcrunch.com/2024/07/12/eus-ai-act-gets-published-in-blocs-official-journal-starting-clock-on-legal-deadlines/
- https://www.wsgr.com/en/insights/eu-ai-act-to-enter-into-force-in-august.html
- https://www.techtarget.com/searchenterpriseai/tip/Is-your-business-ready-for-the-EU-AI-Act
- https://www.simmons-simmons.com/en/publications/clyimpowh000ouxgkw1oidakk/the-eu-ai-act-a-quick-guide