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Introduction

In this age, when our data stands as the key to all resources, espionage has moved from dark alleys and trench coats to keyboards and code. In this era of active digital espionage, where intelligence is stolen through invisible cyberattacks that target computer networks. Cyber espionage and spying have become the most critical threat in the hyper-connected world of today. As governments, corporations, and individuals store an immense amount of confidential information online, the grounds of espionage have shifted from land and sea to the silent realm of cyberspace. 

What is Cyber Espionage? 

Cyber espionage refers to the unauthorised access of confidential data for strategic, political, military, and financial gain, unlike cybercrime, which is mostly about money. Cyber espionage is about gaining information power. The very first documented case dates back to 1986-87, when a group of German hackers breached the US military establishment and the defence systems and sold that stolen data to the Soviets and the KGB. This was the beginning of a new era where classified intelligence could be gathered even without entering a building. 

Cyber espionage is mostly carried out by trained espionage professionals, elite hackers, and corporate spies whose sole purpose is to target the government, research organisations, military establishments, and other critical infrastructures.   

The Objective

The act of Cyber Espionage is being driven by three major objectives, such as;

• Stealing of Intellectual Property- Starting from information and data related to military establishments to pharmaceutical patents, stealing innovation is cheaper than funding R&D. 
• Political and Diplomatic Advantage- As government networks are hacked to access state secrets, negotiation strategies, and classified communications.
• Military Intelligence- Cyber spies also work to steal data on weapons troop movements, defence systems, and war systems, often years before conflict breaks out. 

In a world being shaped by digital power, information is not just about knowledge. Rather, it is all about ensuring dominance. 

The arsenal of modern digital spies is more sophisticated, and most importantly, they are used covertly rather than the spy gadgets that are shown in spy movies. Some of the tactics resorted to by the cyber spies can be recognised as; 

• Phishing Attacks through fake emails that lure victims to click on malicious links or sharing of passwords. 
• Persisting Advanced Threats through long-term stealth attacks in a network for more than a month or a year. 
• Malware and Spyware are invisible software that logs keystrokes, records screens, or steals files silently. 
• Deepfake Manipulations by creating AI-generated fake videos that can influence political developments in the country. 

Anything that makes cyber espionage terrifying is not just the theft, but the fact that it goes undetected. 

What Differentiates Cyber Espionage and Cyber Warfare

Cyber espionage is a silent and stealthy tactic that is carried out with utmost secrecy, being a long-term effort for intelligence gathering. It mostly focuses on the stealing of data, whereas Cyber warfare is an open and destructive tactic that is used to create an immediate and visible impact to create disruption. However, espionage is an act that prepares the battlefield for the warfare of the future. 

Taking instances of real instances of cyber espionage, we can refer to examples such as; 

• Operation Aurora was conducted in 2010, where Chinese Hackers based in Beijing tried to steal IP data from Google and American tech giants. 
• The Stuxnet attack in 2010 was another cyber weapon that was developed to sabotage Iran’s nuclear centrifuges. 
•  SolarWinds Attack of 2020 was an instance of cyber espionage where a supply chain hack was carried out to target multiple US federal government agencies. 

As most of these instances reflect that they were battles without guns, but with the use of codes. Several sources raise the question of whether cyber-attacks can be stopped. The answer lies in the fact that they cannot be stopped completely, but can be minimised to some extent, by developing capabilities to counter and deter cyber-attacks with the help of equal cyber defence capabilities. 

Conclusion 

From the Cold War era to the present Code War, espionage has evolved with technology. An effort that was once taken solely by spies and human assets, with the passing of time enhancement of technologies it is now expanded to malware, phishing, social engineering, and remote digital inflation. In this age of information warfare, espionage is faster, cheaper, and harder to trace than ever before. The enemies of a nation may never cross its borders, but they may already be inside its systems. However, the world has now officially entered a new battlefield, without boundaries, uniforms, and bombs. It is now being fought through bytes, breaches, and invisible enemies.  

References

• https://www.sentinelone.com/cybersecurity-101/threat-intelligence/cyber-espionage/
• https://www.espiamos.com/en/content/espionage-in-the-digital-world-threats-and-opportunities.html
• https://www.apu.apus.edu/area-of-study/information-technology/resources/what-is-cyber-warfare/
• https://pride-security.co.uk/the-rise-of-digital-warfare-understanding-the-evolution-of-cyber-espionage/

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Introduction

Over-the-Top (OTT) streaming platforms have become a significant part of Indian entertainment consumption, offering users the ability to watch films, web series, and short-format videos directly online. These platforms operate on a subscription-based model, allowing for creative freedom, but they also lack clear accountability. On certain platforms, some content has been criticised for focusing on sensational or sexually explicit themes, particularly targeting young viewers seeking risqué entertainment. Such applications lack strong age verification mechanisms and offer ‘user access’ with minimal restrictions, which raises serious concerns about exposure to obscene content. This has triggered serious concerns among regulators, civil society organisations, advocacy and parental groups about the accessibility of such material and its potential influence, especially on minors.

Blocking order issued by the Ministry of Broadcasting and Information (MIB)

On 23rd July 2025, the Government of India, invoking powers under the Information Technology Act, 2000, and the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, has issued a ‘blocking order’ against 25 OTT platforms. A total of 26 websites and 14 mobile applications of the said OTT platforms were on the list, including several prominent OTT platforms for alleged distribution of obscene, vulgar and pornographic content in some cases.  This regulatory action follows previous statutory advice and repeated warnings to the platforms in question, some of which continued to operate through new domains and disobeyed Indian laws and regulations. 

This action was taken by the Ministry of Broadcasting and Information (MIB) in consultation with Ministry of Home Affairs, Ministry of Women and Child Development, Ministry of Electronics and Information Technology, Department of Legal Affairs, industry bodies and experts in the field of women rights and child rights.

The list of OTT Platforms covered under the said ‘Blocking Order’

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The list includes - Big Shots App, Desiflix, Boomex, NeonX VIP, Navarasa Lite, Gulab App, Kangan App, Bull App, ShowHit, Jalva App, Wow Entertainment, Look Entertainment, Hitprime, Fugi, Feneo, ShowX, Sol Talkies, Adda TV, ALTT, HotX VIP, Hulchul App, MoodX, Triflicks, Ullu, and Mojflix. 

The government has explicitly directed Internet Service Providers (ISP’s) to disable or remove public access to these websites within India.

Recent Judicial and Centre’s Interventions

• To refresh the memory, last year in March 2024, the Ministry of I&B blocked 18 OTT Platforms for Obscene and Vulgar Content. 
• In April 2025, the Apex Court of India heard a petition on the prohibition of streaming of sexually explicit content on over-the-top (OTT) and social media platforms. In response to the petition, the Apex court stated, ‘It's not our domain, the centre has to take action and highlighted the need for executive action in the matter. The apex court has also issued notice to the Centre, OTT platforms, as well as social media platforms in response to a petition seeking a ban on sexually explicit content. (Uday Mahurkar & Ors. v. Union of India & Ors. [WP(C) 313/2025])
• The following recent blocking order dated 23rd July 2025 by the Ministry of I&B is a welcome and commendable step that reflects the government’s firm stance against illicit content on OTT platforms. Kangana Ranaut, Actress and politician, while speaking to a news agency, has appreciated the government's move to ban OTT platforms such as Ullu, ALTT, and Desiflix for showing soft porn content.

Conclusion

The centre’s intervention sends a clear message that OTT platforms cannot remain exempt from accountability. The move is a response to the growing concern of harms caused by unregulated digital content and non-compliances by the platforms, particularly in relation to illicit material, and broader violations of decency laws in India. However, the enforcement must now go beyond issuing orders and require a robust measurable compliance framework for OTT platforms. 

In today’s fast-paced era, when subscription-based content platforms place vast libraries at users' fingertips, the government's action is necessary and proportionate, marking a decisive step toward safer digital and healthy regulated environments.

References

• https://www.newsonair.gov.in/govt-bans-25-ott-websites-apps-over-vulgar-and-pornographic-content/
• https://timesofindia.indiatimes.com/technology/tech-news/big-shots-ullu-altt-desiflix-mojflix-and-20-other-ott-apps-banned-what-governments-ban-order-says/articleshow/122918803.cms
• https://www.ndtv.com/india-news/centre-bans-ott-platforms-ullu-altt-desiflix-for-obscene-content-8947100
• https://foxmandal.in/News/sc-takes-note-of-obscenity-plea-issues-notice-to-ott-platforms/
• https://www.morungexpress.com/kangana-ranaut-calls-banning-ott-platforms-for-soft-porn-content-a-much-appreciated-move
• https://www.livemint.com/news/india/do-something-supreme-court-to-centre-ott-platforms-on-obscene-content-pil-netflix-amazon-prime-ullu-altt-x-facebook-11745823594972.html

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Introduction

The ongoing debate on whether AI scaling has hit a wall has been rehashed by the underwhelming response to OpenAI’s ChatGPT v5. AI scaling laws, which describe that machine learning models perform better with increased training data, model parameters and computational resources, have guided the rapid progress of Large Language Models (LLMs) so far. But many AI researchers suggest that further improvements in LLMs will have to be effected through large computational costs by orders of magnitude, which does not justify the returns.  The question, then, is whether scaling remains a viable path or whether the field must explore new approaches. This is not just a tech issue but a profound innovation challenge for countries like India, charting their own AI course. 

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The Scaling Wall: Gaps and Innovation Opportunities

Escalating costs, data scarcity, and diminishing gains mean that simply building larger AI models may no longer guarantee breakthroughs. In such a scenario, LLM developers will have to refine new approaches to training these models, for example, by diversifying data types and redefining training techniques.  

This global challenge has a bearing on India’s AI ambitions. For India, where compute and data resources are relatively scarce, this scaling slowdown poses both a challenge and an opportunity. While the India AI Mission embodies smart priorities such as democratising compute resources and developing local datasets, looming scaling challenges could prove a roadblock.  Realising these ambitions requires strong input from research and academia, and improved coordination between policymakers and startups. The scaling wall highlights systemic innovation gaps where sustained support is needed, not only in hardware but also in talent development, safety research, and efficient model design.

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Way Forward

To truly harness AI’s transformative power, India must prioritise policy actions and ecosystem shifts that support smarter, safer, and context-rich research through the following measures: 

• Driving Efficiency and Compute Innovation: Instead of relying on brute-force scaling, India should invest in research and startups working on efficient architectures, energy-conscious training methods, and compute optimisation.
• Investing in Multimodal and Diverse Data: While indigenous datasets are being developed under the India AI Mission through AI Kosha, they must be ethically sourced from speech, images, video, sensor data, and regional content, apart from text, to enable context-rich AI models truly tailored to Indian needs. 
• Addressing Core Problems for Trustworthy AI:  LLMs offered by all major companies, like OpenAI, Grok, and Deepseek, have the problem of unreliability, hallucinations, and biases, since they are primarily built on scaling large datasets and parameters, which have inherent limitations. India should invest in capabilities to solve these issues and design more trustworthy LLMs.
• Supporting Talent Development and Training: Despite its substantial AI talent pool, India faces an impending demand-supply gap. It will need to launch national programs and incentives to upskill engineers, researchers, and students in advanced AI skills such as model efficiency, safety, interpretability, and new training paradigms

Conclusion

The AI scaling wall debate is a reminder that the future of LLMs will depend not on ever-larger models but on smarter, safer, and more sustainable innovation. A new generation of AI is approaching us, and India can help shape its future. The country’s AI Mission and startup ecosystem are well-positioned to lead this shift by focusing on localised needs, efficient technologies, and inclusive growth, if implemented effectively. How India approaches this new set of challenges and translates its ambitions into action, however, remains to be seen.

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References

• https://blogs.nvidia.com/blog/ai-scaling-laws/
• https://www.marketingaiinstitute.com/blog/scaling-laws-ai-wall 
• https://fortune.com/2025/02/19/generative-ai-scaling-agi-deep-learning/ 
• https://indiaai.gov.in/ 
• https://www.deloitte.com/in/en/about/press-room/bridging-the-ai-talent-gap-to-boost-indias-tech-and-economic-impact-deloitte-nasscom-report.html 

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