#FactCheck -AI-Generated Image Misused to Spread False Claim of Assault on Seema Haider by Sachin Meena

Introduction

In the multifaceted world of international trade and finance, cross-border transactions constitute the heart of economic relationships that span the globe. The threads that intertwine forming the fabric of global commerce are ceaselessly dynamic and exhibit an intricate pattern of complexity especially when it comes to the regulated movement of capital. It's a domain where economies connect, where businesses engage in sublime commerce, and where technology and regulation intersect at critical juncture. These guidelines will play a critical role in the regulation of capital, fortification of financial integrity, and transparency of regulatory and cross-border payments. The key highlights of this regulation include strict pre-authorization for non-bank entities, mandating specific accounts for import and export PA-CBs and a transaction ceiling of 25,00,000 Rupees.

The Vigilance of RBI 

The Reserve Bank of India (RBI), ever vigilant in its shepherding role over the nation's financial stability and integrity, has taken decisive strides to dispel the haze that once clouded this critical sector. With the issuance of a revelatory circular dated October 31, 2023, the RBI has unveiled a groundbreaking framework that redefines the terrain for these pivotal financial entities, aptly christened as Payment Aggregators – Cross Border (PA-CB). In deploying this comprehensive array of regulations, the RBI demonstrates a robust commitment to harmonizing and synchronizing the oversight of payments within the country's financial fabric, extending its meticulous regulatory weave from domestic Payment Aggregators (PAs) to the PA-CBs, a sector previously undistinguished in formal oversight.

The prescriptive measures announced by the RBI are nothing short of a regulatory beacon that cuts through the fog of uncertainty, illuminating a clear path forward for entities dedicated to facilitating cross-border payment transactions pertaining to the import and export of permissible goods and services in India through online modes. Inclusiveness is a hallmark of the RBI’s directive, encompassing a diverse cadre of financial actors, ranging from Authorized Dealer (AD) banks and conventional Payment Aggregators (PAs), to the emergent breed of PA-CBs actively engaged in processing these critical international payment transactions.

Key Aspects of Regulation

One of the most striking aspects of this new regulatory regime is the RBI's insistence on pre-authorization. All non-bank entities providing PA-CB services are impelled to apply to the apex bank for authorisation by April 30, 2024. This is far from a perfunctory gesture; it represents a profound departure from the bygone era when these entities functioned under a patchwork of provisional guidelines and ad-hoc circulars. Indeed, with this resolute move, the RBI signals its intention to embrace these entities within its direct regulatory gambit, an acknowledgement of the shifting tides and progressive intricacies characteristic of cross-border payments.

The tapestry of new rules is complex, setting forth an array of prerequisites for entities aspiring for authorization. For instance, non-bank PA-CBs are obliged to register with the Financial Intelligence Unit-India (FIU-IND) as a preliminary step before commencing the application process. Moreover, the financial benchmarks set are notably rigorous. Non-banks must boast a minimum net worth of ₹15 crores at the time of the application—a figure that escalates to a robust ₹25 crores by the fiscal deadline of March 31, 2026.

Way Forward

As if these requirements weren't indicative enough of the RBI’s penchant for detail and precision, the guidelines become yet more granular when addressing specific types of PA-CBs. Import-only PA-CBs are mandatorily obliged to maintain an Import Collection Account (ICA) with an AD Category-I scheduled commercial bank, while export-only PA-CBs are instructed to maintain an Export Collection Account (ECA), which can be maintained in Indian Rupees (INR) or any permissible foreign currency. The nuance here is palpable; payments for import transactions must be received in a meticulously managed escrow account of the PA, prior to being funneled into the ICA for smooth settlement with overseas merchants.

Conversely, export-only PA-CBs' proceeds from international sales must be swiftly credited to the relevant currency ECA. This meticulous accounting ensures that the flow of funds is both transparent and traceable, adhering to the utmost standards of financial probity.

Yet, perhaps the most emphatic of the RBI's pronouncements is the establishment of a transaction ceiling. PA-CBs have their per-transaction limit capped at ₹25,00,000 for each unit of goods or services exchanged. This calculated move is transparent in its objective to mitigate risk—a crucial aspect when one considers the potential implications of these transactions on the country’s fiscal health and the integrity of its financial systems.

It is no exaggeration to declare that with these guidelines, the RBI is effectuating a seismic shift in the regulation of cross-border payment transactions. There's a fundamental transformation taking place—a metamorphosis—from a loosely defined existence of PA-CBs to one of distinct clarity, under the direct and unswerving supervisory gaze of the regulator. The compliance burden, indeed, has become heavier, yet the return is a compass that points decisively towards secure harbours.

As we embark upon the fresh horizons that these rules bring into view, it is imperative to acknowledge that the RBI's regulatory innovations represent far more than a mere codification of dos and don'ts. They embody a visionary stride towards safeguarding and fortifying the architecture of international payments, a critical component of India's burgeoning presence on the world economic stage.

Conclusion 

The journey ahead, as we navigate these newly charted waters with the RBI's guidelines as our steadfast North Star, will no doubt be replete with challenges, adaptations and learning curves for the array of operational entities. But it is with confidence we can say, the path is set; the map is clear. The complex labyrinth of cross-border financial transactions is now demystified, and the RBI's clarion call beckons us towards a future marked by regulation, security, and above all else, reliability in the cosmopolitan tapestry of global trade. RBI’s guidelines provide a comprehensive framework for standardizing cross-border financial transactions in India. This decision is a monumental step towards maintaining cyber peace in cyberspace. 

References:

• https://www.rbi.org.in/Scripts/NotificationUser.aspx?Id=12561&Mode=0
• https://www2.deloitte.com/in/en/pages/tax/articles/tax-alert-Regulation-of-payment-aggregator-cross-border-pa-cb.html
• https://www.jsalaw.com/newsletters-and-updates/rbis-new-guidelines-to-govern-payment-aggregators-in-cross-border-transactions/ 

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The race for global leadership in AI is in full force. As China and the US emerge as the ‘AI Superpowers’ in the world, the world grapples with the questions around AI governance, ethics, regulation, and safety. Some are calling this an ‘AI Arms Race.’ Most of the applications of these AI systems are in large language models for commercial use or military applications. Countries like Germany, Japan, France, Singapore, and India are now participating in this race and are not mere spectators. 

The Government of India’s Ministry of Electronics and Information Technology (MeitY) has launched the IndiaAI Mission, an umbrella program for the use and development of AI technology. This MeitY initiative lays the groundwork for supporting an array of AI goals for the country. The government has allocated INR 10,300 crore for this endeavour. This mission includes pivotal initiatives like the IndiaAI Compute Capacity, IndiaAI Innovation Centre (IAIC), IndiaAI Datasets Platform, IndiaAI Application Development Initiative, IndiaAI FutureSkills, IndiaAI Startup Financing, and Safe & Trusted AI.

There are several challenges and opportunities that India will have to navigate and capitalize on to become a significant player in the global AI race. The various components of India’s ‘AI Stack’ will have to work well in tandem to create a robust ecosystem that yields globally competitive results. The IndiaAI mission focuses on building large language models in vernacular languages and developing compute infrastructure. There must be more focus on developing good datasets and research as well.

Resource Allocation and Infrastructure Development

The government is focusing on building the elementary foundation for AI competitiveness. This includes the procurement of AI chips and compute capacity, about 10,000 graphics processing units (GPUs), to support India’s start-ups, researchers, and academics. These GPUs have been strategically distributed, with 70% being high-end newer models and the remaining 30% comprising lower-end older-generation models. This approach ensures that a robust ecosystem is built, which includes everything from cutting-edge research to more routine applications. A major player in this initiative is Yotta Data Services, which holds the largest share of 9,216 GPUs, including 8,192 Nvidia H100s. Other significant contributors include Amazon AWS's managed service providers, Jio Platforms, and CtrlS Datacenters. 

Policy Implications: Charting a Course for Tech Sovereignty and Self-reliance

With this government initiative, there is a concerted effort to develop indigenous AI models and reduce tech dependence on foreign players. There is a push to develop local Large Language Models and domain-specific foundational models, creating AI solutions that are truly Indian in nature and application. Many advanced chip manufacturing takes place in Taiwan, which has a looming China threat. India’s focus on chip procurement and GPUs speaks to a larger agenda of self-reliance and sovereignty, keeping in mind the geopolitical calculus. This is an important thing to focus on, however, it must not come at the cost of developing the technological ‘know-how’ and research. 

Developing AI capabilities at home also has national security implications. When it comes to defence systems, control over AI infrastructure and data becomes extremely important. The IndiaAI Mission will focus on safe and trusted AI, including developing frameworks that fit the Indian context. It has to be ensured that AI applications align with India's security interests and can be confidently deployed in sensitive defence applications.

The big problem here to solve here is the ‘data problem.’ There must be a focus on developing strategies to mitigate the data problem that disadvantages the Indian AI ecosystem. Some data problems are unique to India, such as generating data in local languages. While other problems are the ones that appear in every AI ecosystem development lifecycle namely generating publicly available data and licensed data. India must strengthen its ‘Digital Public Infrastructure’ and data commons across sectors and domains.

India has proposed setting up the India Data Management Office to serve as India’s data regulator as part of its draft National Data Governance Framework Policy. The MeitY IndiaAI expert working group report also talked about operationalizing the India Datasets Platform and suggested the establishment of data management units within each ministry.

Economic Impact: Growth and Innovation

The government’s focus on technology and industry has far-reaching economic implications. There is a push to develop the AI startup ecosystem in the country. The IndiaAI mission heavily focuses on inviting ideas and projects under its ambit. The investments will strengthen the IndiaAI startup financing system, making it easier for nascent AI businesses to obtain capital and accelerate their development from product to market. Funding provisions for industry-led AI initiatives that promote social impact and stimulate innovation and entrepreneurship are also included in the plan. The government press release states, "The overarching aim of this financial outlay is to ensure a structured implementation of the IndiaAI Mission through a public-private partnership model aimed at nurturing India’s AI innovation ecosystem.”

The government also wants to establish India as a hub for sustainable AI innovation and attract top AI talent from across the globe. One crucial aspect that needs to be worked on here is fostering talent and skill development. India has a unique advantage, that is, top-tier talent in STEM fields. Yet we suffer from a severe talent gap that needs to be addressed on a priority basis. Even though India is making strides in nurturing AI talents, out-migration of tech talent is still a reality. Once the hardware manufacturing “goods-side” of economics transitions to service delivery in the field of AI globally, India will need to be ready to deploy its talent. Several structural and policy interfaces, like the New Education Policy and industry-academic partnership frameworks, allow India to capitalize on this opportunity. 

India’s talent strategy must be robust and long-term, focusing heavily on multi-stakeholder engagement. The government has a pivotal role here by creating industry-academia interfaces and enabling tech hubs and innovation parks.

India's Position in the Global AI Race

India’s foreign policy and geopolitical standpoint have been one of global cooperation. This must not change when it comes to AI. Even though this has been dubbed as the “AI Arms Race,” India should encourage worldwide collaboration on AI R&D through collaboration with other countries in order to strengthen its own capabilities. India must prioritise more significant open-source AI development, work with the US, Europe, Australia, Japan, and other friendly countries to prevent the unethical use of AI and contribute to the formation of a global consensus on the boundaries for AI development. 

The IndiaAI Mission will have far-reaching implications for India’s diplomatic and economic relations. The unique proposition that India comes with is its ethos of inclusivity, ethics, regulation, and safety from the get-go. We should keep up the efforts to create a powerful voice for the Global South in AI. The IndiaAI Mission marks a pivotal moment in India's technological journey. Its success could not only elevate India's status as a tech leader but also serve as a model for other nations looking to harness the power of AI for national development and global competitiveness. In conclusion, the IndiaAI Mission seeks to strengthen India's position as a global leader in AI, promote technological independence, guarantee the ethical and responsible application of AI, and democratise the advantages of AI at all societal levels.

References

• ​​Ashwini Vaishnaw to launch IndiaAI portal, 10 firms to provide 14,000 GPUs. (2025, February 17). https://www.business-standard.com/. Retrieved February 25, 2025, from https://www.business-standard.com/industry/news/indiaai-compute-portal-ashwini-vaishnaw-gpu-artificial-intelligence-jio-125021700245_1.html
• Global IndiaAI Summit 2024 being organized with a commitment to advance responsible development, deployment and adoption of AI in the country. (n.d.). https://pib.gov.in/PressReleaseIframePage.aspx?PRID=2029841
• India to Launch AI Compute Portal, 10 Firms to Supply 14,000 GPUs. (2025, February 17). apacnewsnetwork.com. https://apacnewsnetwork.com/2025/02/india-to-launch-ai-compute-portal-10-firms-to-supply-14000-gpus/
• INDIAai | Pillars. (n.d.). IndiaAI. https://indiaai.gov.in/
• IndiaAI Innovation Challenge 2024 | Software Technology Park of India | Ministry of Electronics & Information Technology Government of India. (n.d.). http://stpi.in/en/events/indiaai-innovation-challenge-2024
• IndiaAI Mission To Deploy 14,000 GPUs For Compute Capacity, Starts Subsidy Plan. (2025, February 17). www.businessworld.in. Retrieved February 25, 2025, from https://www.businessworld.in/article/indiaai-mission-to-deploy-14000-gpus-for-compute-capacity-starts-subsidy-plan-548253
• India’s interesting AI initiatives in 2024: AI landscape in India. (n.d.). IndiaAI. https://indiaai.gov.in/article/india-s-interesting-ai-initiatives-in-2024-ai-landscape-in-india
• Mehra, P. (2025, February 17). Yotta joins India AI Mission to provide advanced GPU, AI cloud services. Techcircle. https://www.techcircle.in/2025/02/17/yotta-joins-india-ai-mission-to-provide-advanced-gpu-ai-cloud-services/
• IndiaAI 2023: Expert Group Report – First Edition. (n.d.). IndiaAI. https://indiaai.gov.in/news/indiaai-2023-expert-group-report-first-edition
• Satish, R., Mahindru, T., World Economic Forum, Microsoft, Butterfield, K. F., Sarkar, A., Roy, A., Kumar, R., Sethi, A., Ravindran, B., Marchant, G., Google, Havens, J., Srichandra (IEEE), Vatsa, M., Goenka, S., Anandan, P., Panicker, R., Srivatsa, R., . . . Kumar, R. (2021). Approach Document for India. In World Economic Forum Centre for the Fourth Industrial Revolution, Approach Document for India [Report]. https://www.niti.gov.in/sites/default/files/2021-02/Responsible-AI-22022021.pdf
• Stratton, J. (2023, August 10). Those who solve the data dilemma will win the A.I. revolution. Fortune. https://fortune.com/2023/08/10/workday-data-ai-revolution/
• Suri, A. (n.d.). The missing pieces in India’s AI puzzle: talent, data, and R&D. Carnegie Endowment for International Peace. https://carnegieendowment.org/research/2025/02/the-missing-pieces-in-indias-ai-puzzle-talent-data-and-randd?lang=en
• The AI arms race. (2024, February 13). Financial Times. https://www.ft.com/content/21eb5996-89a3-11e8-bf9e-8771d5404543

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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/