#FactCheck - Viral image circulating on social media depicts a natural optical illusion from Epirus, Greece.

Executive Summary:

A recent claim going around on social media that a child created sand sculptures of cricket legend Mahendra Singh Dhoni, has been proven false by the CyberPeace Research Team. The team discovered that the images were actually produced using an AI tool. Evident from the unusual details like extra fingers and unnatural characteristics in the sculptures, the Research Team discerned the likelihood of artificial creation. This suspicion was further substantiated by AI detection tools. This incident underscores the need to fact-check information before posting, as misinformation can quickly go viral on social media. It is advised everyone to carefully assess content to stop the spread of false information.

Claims:

The claim is that the photographs published on social media show sand sculptures of cricketer Mahendra Singh Dhoni made by a child.

Fact Check:

Upon receiving the posts, we carefully examined the images. The collage of 4 pictures has many anomalies which are the clear sign of AI generated images.

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In the first image the left  hand of the sand sculpture has 6 fingers and in the word INDIA, ‘A’ is not properly aligned i.e not in the same line as other letters. In the second image, the finger of the boy is missing and the sand sculpture has 4 fingers in its front foot and has 3 legs. In the third image the slipper of the boy is not visible whereas some part of the slipper is visible, and in the fourth image the hand of the boy is not looking like a hand. These are some of the major discrepancies clearly visible in the images.

We then checked using an AI Image detection tool named ‘Hive’ image detection, Hive detected the image as 100.0% AI generated.

We then checked it in another AI image detection named ContentAtScale AI image detection, and it found to be 98% AI generated.

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From this we concluded that the Image is AI generated and has no connection with the claim made in the viral social media posts. We have also previously debunked AI Generated artwork of sand sculpture of Indian Cricketer Virat Kohli which had the same types of anomalies as those seen in this case.

Conclusion:

Taking into consideration the distortions spotted in the images and the result of AI detection tools, it can be concluded that the claim of the pictures representing the child's sand sculptures of cricketer Mahendra Singh Dhoni is false. The pictures are created with Artificial Intelligence. It is important to check and authenticate the content before posting it to social media websites.

• Claim: The frame of pictures shared on social media contains child's sand sculptures of cricket player Mahendra Singh Dhoni.
• Claimed on: X (formerly known as Twitter), Instagram, Facebook, YouTube
• Fact Check: Fake & Misleading

Introduction

India’s telecommunications infrastructure is one of the world’s largest and most complex, serving over a billion users across urban and rural landscapes. With rampant digitisation and mobile penetration, the vulnerability of telecom networks to cyber threats has grown exponentially. On April 24, 2025, the Ministry of Communications (MOC) released a draft of the “Telecommunications (Telecom Cyber Security) Amendment Rules, 2025,” to update the prior Telecommunications (Telecom Cyber Security) Rules, 2024, to improve cybersecurity in India's telecom industry and fortify network security. Public comments and recommendations regarding these draft rules can be sent to the department by July 24, 2025, after they have been made available for public comment. These rules are enacted under the Telecommunications Act, 2023, to enhance national cybersecurity in the telecom domain. These rules aim to prevent misuse of telecom networks and reinforce data and infrastructure protection mechanisms across service providers. 

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Safeguarding the Spectrum: Unpacking the 2025 Cybersecurity Revisions

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The menace of fraudulent SIM cards deals the issue of cyber threats a fresh hand. The rising number of digital scams can also be attributed to unverified or fake mobile numbers. Fraudulent SIM cards have often been linked to various cybercrimes such as phishing, vishing, SIM swapping and identity theft. The situation has worsened in the face of easy availability of pre-activated SIM cards and weak KYC enforcement. In a recent example, as per reports of June 28, 2025, the Special Task Force (STF) found that the accused was operating a criminal nexus where he utilised fake documents and the Aadhaar credentials of law-abiding locals to activate numerous SIM cards. Following activation, the SIMs were either transferred to other telecom carriers for additional exploitation or sold illegally. This poses a serious concern for the data protection of vulnerable individuals, especially those in rural areas, whose credentials have been compromised. 

Given the adverse state of cybersecurity in the telecom industry, the Telecommunications (Telecom Cyber Security) Rules, 2024, were passed on 22nd November, 2024, which put various telecom entities under an obligation to actively prevent cybersecurity threats by adopting such policies that mitigate cybersecurity risks and notify the same to the Central Government. The 2024 Telecom Cybersecurity Rules were a significant step in fortifying India’s telecom infrastructure against cyber threats, but they primarily focused on licensed telecom service providers, leaving behind a large segment of digital platforms operating outside the traditional telecom framework largely unregulated. 

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Expanding the Net: Key Revisions Under the 2025 Cybersecurity Amendment Rules

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The amended rules of 2025 adequately address the regulatory blind spot that is created by the rapid expansion of online services, fintech apps, OTT platforms and social media networks, as these platforms often rely on telecom identifiers such as mobile numbers for user onboarding and service delivery. This regulatory blind spot was exploited for fraud, impersonation and other cybercrimes, especially in the absence of standardised identity verification mechanisms. The proposed regulations would give the government the authority to require private companies’ clients to provide identification if they use a mobile number. For a fee, businesses can also undertake this kind of verification on their own. “ The draft rules introduce a new category called “Telecommunication Identifier User Entities’ (TIUEs), extending cybersecurity compliance obligations to a broad category that now captures any entity using telecom identifiers to deliver digital services. It also creates a unified, government-backed verification framework, enabling better interoperability and uniform user identification norms across sectors. 

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While strengthening national digital security is the goal of the Telecom Cybersecurity (Amendment) Rules, 2025, the proposed rules create a great deal of uncertainty and compliance difficulties, especially for private digital platforms. A broad definition of Telecommunication Identifier User businesses (TIUEs) may include a variety of businesses, including e-commerce services, fintech apps and OTT platforms, under the purview of required mobile number verification. Given that many platforms already have advanced internal processes in place to verify users, this scope uncertainty creates significant concerns regarding operational clarity. 

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Conclusion

The Telecommunications (Telecom Cyber Security) Amendment Rules, 2025, represent a necessary evolution in India’s quest to secure its telecom ecosystem amid growing cyber threats. The draft regulations recognise the evolving landscape of digital services by broadening the legal scope to encompass Telecommunication Identifier User Entities (TIUEs). Though the goal of creating a strong, transparent and accountable framework is admirable, more clarification and stakeholder involvement are required due to the scope’s vagueness and the possible compliance burden on digital platforms. A truly durable telecom cybersecurity regime will require striking the correct balance between security, viability and privacy. 

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References 

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• https://www.cyberpeace.org/resources/blogs/the-government-enforces-key-sections-of-the-telecommunication-act-2023
• https://www.cyberpeace.org/resources/blogs/govt-notifies-the-telecommunications-telecom-cyber-security-rules-2024 
• https://the420.in/uttarakhand-stf-busts-fake-sim-racket-linked-to-cyber-crimes-and-nepal-network/ 
• https://www.thehindu.com/business/dot-puts-out-draft-rules-to-enable-mobile-user-validation/article69741367.ece ‍
• https://www.scconline.com/blog/post/2025/06/28/dot-telecom-cyber-security-draft-policy-update/

Introduction

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In real-time warfare scenarios of this modern age, where actions occur without delay, the relevance of edge computing emerges as paramount. By processing data close to the source in the battlefield with the help of a drone or through video imaging from any military vehicle or aircraft, the concept of edge computing allows the military to point targets faster and strike with accuracy. It also enables local processing to relay central data, helping ground troops get intelligence inputs to act rapidly in critical mission scenarios.  

As the global security landscape experiences a significant transformation in different corners of the world, it presents unprecedented challenges in the present scenario. In this article, we will try to understand how countries can maintain their military capabilities with the help of advanced technologies like edge computing. 

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Edge Computing in Modern Warfare

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Edge computing involves the processing and storage of data at the point of collection on the battlefield, for example, through vehicles and drones, instead of relying on centralized data centers. This enables faster decision-making in real-time. This approach creates a resilient and secure network by reducing reliance on potentially compromised external connections, supporting autonomous systems, precision-based targeting, and data sharing among military personnel, drones, and command centers amidst a challenging environment.

A report released by the US Department of Defence in March 2025 found a crucial reality surrounding the operation of hardware relying on outdated industrial-age processes in the digital era. In the case of applications with video, edge computing helps to deliver significant advantages to a wide range of crucial military operations, which include: 

• Situational awareness with real-time data processing that provides improved battlefield visibility and proper threat detection. 
• Autonomous warfare systems such as drones, which use a tactical edge cloud computing to get the capability to navigate faster. 
• Developing a strong communication and networking capability to secure low-latency communication for troops to stay connected in challenging environments. 
• Ensuring predictive maintenance with the help of effective sensors to carry out edge detection and attrition at an early point, thereby reducing equipment failures. 
• Developing effective targeting and weapons systems to ensure faster processing to enable precision-based targeting and response, besides a strong logistics and supply chain that can provide real-time tracking to improve delivery accuracy and resource management. 

This report also highlighted that the DoD is rapidly updating its software and investing in AI enablers like data sets or MLOps tools. This also stresses the breaking down of integration barriers by enforcing MOSA (Modular Open Systems Approaches), APIs (Application Programming Interface), and modular interfaces to ensure interoperability across platforms, sensors, and networks to make software-defined warfare an effective strategy.  

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Developing Edge with Artificial Intelligence for Future Warfare

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A significant insight from the work of the US Department of Defense is its emphasis on the importance of edge computing in shaping the future of warfare. In that context, the Annual Threat Assessment Report highlights a key limitation of traditional AI strategies that rely on centralised cloud computing, since these might not be suitable for modern battlefields with congested networks and limited bandwidth. The need for real-time data processing requires a distributed and edge-based AI solution to address contemporary threats. This report also directly supports the deployment of effective edge with AI in a defined, disrupted, intermittent, and limited-bandwidth (DDIL) environment. In that case, when the communication networks fail, the edge servers at the edge of the network offer crucial advantages that cloud-dependent systems cannot. This ability to analyse data and make decisions without consistent connectivity and operate with limited computational resources is a strategic necessity. 

The scenario of warfare is a phenomenon that requires maintaining a strong strategic and tactical approach, which, in the present times, is being examined through the domain of digital platforms. Modern warfare patterns demand faster decision-making and edge computing deliveries by shifting the power of distant servers to the frontlines. The US military is already moving in the direction of deploying edge-enabled systems to prove the nature of sensors and networks to compute at the tactical edge to transform warfighting.

However, it can be understood with the help of an example, as creating fusion in the skies with F-35s. As they have showcased the capability of edge computing by fusing sensor data with MADL (Multi-Functional Advanced Data Link) to create a unified picture, making the squadrons a force multiplier. An example of this was visible when an F-35 relayed real-time tracking data, enabling a navy ship to neutralise a missile beyond its range.

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Conclusion: The Way Ahead 

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As the changing nature of warfare moves towards adopting software-defined systems, where edge computing thrives as a futuristic military technology, it calls for the need for integration across all domains of warfighting. But at the same time, several imperatives do emerge, such as: 

• Developing an open architecture that enables both flexibility and innovation. 
• Ensuring an effective connectivity that actually combines a confluence of legacy systems. 
• Developing interoperability among the systems that can function in synergy with all platforms and can function across all domains. 
• Prioritising edge-native AI development systems, where it is also necessary to ensure the shift to adopting cloud-based AI models to create solutions optimised from the ground up for edge deployment. 
• Investing in edge infrastructure to establish a robust edge computing infrastructure that enables rapid deployment by testing and updating AI capabilities across diverse hardware platforms. Like the way the military training academies in India are developing training infrastructures for training officer cadets or personnel to handle drones and all forms of advanced warfare tactics emerging in this age. 
• Fostering talent and expertise by embracing commercial solutions where software talent could be enabled across the enterprises with expertise in edge computing capabilities and AI. In this case, the role of the commercial sector can help to drive innovations in edge AI, and the only way to move in this direction is by leveraging these advances through partnerships and collaborative efforts. 

Taking the example of the ARPANET, which once seeded the modern internet, edge computing can also help to create a transformative network effect within the digital battlespace. In conclusion, future conflicts will be defined by the speed and accuracy provided by the edge, as nations integrating AI and robust edge infrastructures can hold a strong advantage in the multi-domain battlefields in the future.

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References 

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• https://www.idsa.in/mpidsanews/rk-narangs-article-what-the-regions-first-drone-warfare-taught-us-published-in-the-new-indian-express
• https://latentai.com/blog/software-defined-warfare-why-edge-ai-is-critical-to-americas-defense-future/
• https://www.boozallen.com/s/insight/blog/how-the-us-military-is-using-edge-computing.html
• https://capsindia.org/wp-content/uploads/2022/08/RK-Narang-3.pdf
• https://www.newindianexpress.com/opinions/2025/May/12/what-the-regions-first-drone-warfare-taught-us
• https://www.maris-tech.com/blog/edge-computing-in-the-military-challenges-and-solutions/#:~:text=In%20modern%20warfare%2C%20decisions%20need,enables%20precision%20targeting%20and%20response ‍
• https://cassindia.com/digital-soldiers/