#FactCheck: Misleading Claim Amid West Asia Conflict: Old Yemen Video Shared as Iran’s Attack on Tel Aviv

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by the US Department of Defence in March 2025 found a crucial reality surrounding the operation of hardware relying on outdated industrial-age processes in the digital era.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/

 Introduction

Children today are growing up amidst technology, and the internet has become an important part of their lives. The internet provides a wealth of recreational and educational options and learning environments to children, but it also presents extensively unseen difficulties, particularly in the context of deepfakes and misinformation. AI is capable of performing complex tasks in a fast time. However, misuse of AI technologies led to increasing cyber crimes. The growing nature of cyber threats can have a negative impact on children wellbeing and safety while using the Internet.  

 India's Digital Environment

India has one of the world's fastest-growing internet user bases, and young netizens here are getting online every passing day. The internet has now become an inseparable part of their everyday lives, be it social media or online courses. But the speed at which the digital world is evolving has raised many privacy and safety concerns increasing the chance of exposure to potentially dangerous content.

 Misinformation: The raising Concern

Today, the internet is filled with various types of misinformation, and youngsters are especially vulnerable to its adverse effects. With the diversity in the language and culture in India, the spread of misinformation can have a vast negative impact on society. In particular, misinformation in education has the power to divulge young brains and create hindrances in their cognitive development. 

To address this issue, it is important that parents, academia, government, industry and civil society start working together to promote digital literacy initiatives that educate children to critically analyse online material which can ease navigation in the digital realm.

DeepFakes: The Deceptive Mirage:

Deepfakes, or digitally altered videos and/or images made with the use of artificial intelligence, pose a huge internet threat. The possible ramifications of deepfake technology are concerning in India, since there is a high level of dependence on the media. Deepfakes can have far-reaching repercussions, from altering political narratives to disseminating misleading information.

Addressing the deepfake problem demands a multifaceted strategy. Media literacy programs should be integrated into the educational curriculum to assist youngsters in distinguishing between legitimate and distorted content. Furthermore, strict laws as well as technology developments are required to detect and limit the negative impact of deepfakes.

Safeguarding Children in Cyberspace

●   Parental Guidance and Open Communication: Open communication and parental guidance are essential for protecting children's internet safety. It's a necessity to have open discussions about the possible consequences and appropriate internet use. Understanding the platforms and material children are consuming online, parents should actively participate in their children's online activities.

●  Educational Initiatives: Comprehensive programs for digital literacy must be implemented in educational settings. Critical thinking abilities, internet etiquette, and knowledge of the risks associated with deepfakes and misinformation should all be included in these programs. Fostering a secure online environment requires giving young netizens the tools they need to question and examine digital content.

●   Policies and Rules: Admitting the threats or risks posed by misuse of advanced technologies such as AI and deepfake, the Indian government is on its way to coming up with dedicated legislation to tackle the issues arising from misuse of deepfake technology by the bad actors. The government has recently come up with an advisory to social media intermediaries to identify misinformation and deepfakes and to make sure of the compliance of Information Technology (IT) Rules 2021. It is the legal obligation of online platforms to prevent the spread of misinformation and exercise due diligence or reasonable efforts are made to identify misinformation and deepfakes. Legal frameworks need to be equipped to handle the challenges posed by AI. Accountability in AI is a complex issue that requires comprehensive legal reforms. In light of various cases reported about the misuse of deepfakes and spreading such deepfake content on social media, It is advocated that there is a need to adopt and enforce strong laws to address the challenges posed by misinformation and deepfakes. Working with technological companies to implement advanced content detection tools and ensuring that law enforcement takes swift action against those who misuse technology will act as a deterrent among cyber crooks. 

●    Digital parenting: It is important for parents to keep up with the latest trends and digital technologies. Digital parenting includes understanding privacy settings, monitoring online activity, and using parental control tools to create a safe online environment for children.

Conclusion

As India continues to move forward digitally, protecting children in cyberspace has become a shared responsibility. By promoting digital literacy, encouraging open communication and enforcing strong laws, we can create a safer online environment for younger generations. Knowledge, understanding, and active efforts to combat misinformation and deeply entrenched myths are the keys to unlocking the safety net in the online age. Social media Intermediaries or platforms must ensure compliance under IT Rules 2021, IT Act, 2000 and the newly enacted Digital Personal Data Protection Act, 2023. It is the shared responsibility of the government, parents & teachers, users and organisations to establish safe online space for children.   

References:

• https://pib.gov.in/PressReleaseIframePage.aspx?PRID=1975445
• https://www.safes.so/blogs/dangers-of-deepfake/

AI-generated content has been taking up space in the ever-changing dynamics of today's tech landscape. Generative AI has emerged as a powerful tool that has enabled the creation of hyper-realistic audio, video, and images. While advantageous, this ability has some downsides, too, particularly in content authenticity and manipulation. 

The impact of this content is varied in the areas of ethical, psychological and social harms seen in the past couple of years. A major concern is the creation of non-consensual explicit content, including nudes. This content includes content where an individual’s face gets superimposed onto explicit images or videos without their consent. This is not just a violation of privacy for individuals, and can have humongous consequences for their professional and personal lives. This blog examines the existing laws and whether they are equipped to deal with the challenges that this content poses. 

Understanding the Deepfake Technology

Deepfake technology is a media file (image, video, or speech) that typically represents a human subject that is altered deceptively using deep neural networks (DNNs). It is used to alter a person’s identity, and it usually takes the form of a “face swap” where the identity of a source subject is transferred onto a destination subject. The destination’s facial expressions and head movements remain the same, but the appearance in the video is that of the source. In the case of videos, the identities can be substituted by way of replacement or reenactment.

This superimposed content creates realistic content, such as fake nudes. Presently, creating a deepfake is not a costly endeavour. It requires a Graphics Processing Unit (GPU), software that is free, open-source, and easy to download, and graphics editing and audio-dubbing skills.  Some of the common apps to create deepfakes are DeepFaceLab and FaceSwap, which are both public and open source and are supported by thousands of users who actively participate in the evolution and development of these software and models. 

Legal Gaps and Challenges

Multiple gaps and challenges exist in the legal space for deepfakes and their regulation. They are:

1. The inadequate definitions governing AI-generated explicit content often lead to enforcement challenges.
2. Jurisdictional challenges due to the cross-border nature of crimes and the difficulties caused by international cooperation measures are in the early stages for AI content. 
3. There is a gap between the current consent-based and harassment laws for AI-generated nudes. 
4. Providing evidence or providing proof for the intent and identification of perpetrators in digital crimes is a challenge that is yet to be overcome. 

Policy Responses and Global Trends 

Presently, the global response to deepfakes is developing. The UK has developed the Online Safety Bill, the EU has the AI Act, the US has some federal laws such as the National AI Initiative Act of 2020 and India is currently developing the India AI Act as the specific legislation dealing with AI and its correlating issues. 

The IT Rules, 2021, and the DPDP Act, 2023, regulate digital platforms by mandating content governance, privacy policies, grievance redressal, and compliance with removal orders. Emphasising intermediary liability and safe harbour protections, these laws play a crucial role in tackling harmful content like AI-generated nudes, while the DPDP Act focuses on safeguarding privacy and personal data rights.

Bridging the Gap: CyberPeace Recommendations 

1. Initiate legislative reforms by advocating for clear and precise definitions for the consent frameworks and instituting high penalties for AI-based offences, particularly those which are aimed at sexually explicit material.
2. Advocate for global cooperation and collaborations by setting up international standards and bilateral and multilateral treaties that address the cross-border nature of these offences.
3. Platforms should push for accountability by pushing for stricter platform responsibility for the detection and removal of harmful AI-generated content. Platforms should introduce strong screening mechanisms to counter the huge influx of harmful content.  
4. Public campaigns which spread awareness and educate users about their rights and the resources available to them in case such an act takes place with them. 

Conclusion 

The rapid advancement of AI-generated explicit content demands immediate and decisive action. As this technology evolves, the gaps in existing legal frameworks become increasingly apparent, leaving individuals vulnerable to profound privacy violations and societal harm. Addressing this challenge requires adaptive, forward-thinking legislation that prioritises individual safety while fostering technological progress. Collaborative policymaking is essential and requires uniting governments, tech platforms, and civil society to develop globally harmonised standards. By striking a balance between innovation and societal well-being, we can ensure that the digital age is not only transformative but also secure and respectful of human dignity. Let’s act now to create a safer future!

References

• https://etedge-insights.com/technology/artificial-intelligence/deepfakes-and-the-future-of-digital-security-are-we-ready/
• https://odsc.medium.com/the-rise-of-deepfakes-understanding-the-challenges-and-opportunities-7724efb0d981 ‍
• https://insights.sei.cmu.edu/blog/how-easy-is-it-to-make-and-detect-a-deepfake/