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In an era defined by perpetual technological advancement, the hitherto uncharted territories of the human experience are progressively being illuminated by the luminous glow of innovation. The construct of privacy, once a straightforward concept involving personal secrets and solitude, has evolved into a complex web of data protection, consent, and digital rights. This notion of privacy, which often feels as though it elusively ebbs and flows like the ghost of a bygone epoch, is now confronted with a novel intruder – neurotechnology – which promises to redefine the very essence of individual sanctity.

Why Neuro Rights

At the forefront of this existential conversation lie ventures like Elon Musk's Neuralink. This company, which finds itself at the confluence of fantastical dreams and tangible reality, teases a future where the contents of our thoughts could be rendered as accessible as the words we speak. An existence where machines not only decipher our mental whispers but hold the potential to echo back, reshaping our cognitive landscapes. This startling innovation sets the stage for the emergence of 'neurorights' – a paradigm aimed at erecting a metaphorical firewall around the synapses and neurons that compose our innermost selves.

At institutions such as the University of California, Berkeley, researchers, under the aegis of cognitive scientists like Jack Gallant, are already drawing the map of once-inaccessible territories within the mind. Gallant's landmark study, which involved decoding the brain activity of volunteers as they absorbed visual stimuli, opened Pandora's box regarding the implications of mind-reading. The paper published a decade ago, was an inchoate step toward understanding the narrative woven within the cerebral cortex. Although his work yielded only a rough sketch of the observed video content, it heralded an era where thought could be translated into observable media.

The Growth

This rapid acceleration of neuro-technological prowess has not gone unnoticed on the sociopolitical stage. In a pioneering spirit reminiscent of the robust legislative eagerness of early democracies, Chile boldly stepped into the global spotlight in 2021 by legislating neurorights. The Chilean senate's decision to constitutionalize these rights sent ripples the world over, signalling an acknowledgement that the evolution of brain-computer interfaces was advancing at a daunting pace. The initiative was spearheaded by visionaries like Guido Girardi, a former senator whose legislative foresight drew clear parallels between the disruptive advent of social media and the potential upheaval posed by emergent neurotechnology.

Pursuit of Regulation

Yet the pursuit of regulation in such an embryonic field is riddled with intellectual quandaries and ethical mazes. Advocates like Allan McCay articulate the delicate tightrope that policy-makers must traverse. The perils of premature regulation are as formidable as the risks of a delayed response – the former potentially stifling innovation, the latter risking a landscape where technological advances could outpace societal control, engendering a future fraught with unforeseen backlashes. 

Such is the dichotomy embodied in the story of Ian Burkhart, whose life was irrevocably altered by the intervention of neurotechnology. Burkhart's experience, transitioning from quadriplegia to digital dexterity through sheer force of thought, epitomizes the utopic potential of neuronal interfaces. Yet, McCay issues a solemn reminder that with great power comes great potential for misuse, highlighting contentious ethical issues such as the potential for the criminal justice system to over extend its reach into the neural recesses of the human psyche.

Firmly ensconced within this brave new world, the quest for prudence is of paramount importance. McCay advocates for a dyadic approach, where privacy is vehemently protected and the workings of technology proffered with crystal-clear transparency. The clandestine machinations of AI and the danger of algorithmic bias necessitate a vigorous, ethical architecture to govern this new frontier. 

As legal frameworks around the globe wrestle with the implications of neurotechnology, countries like India, with their burgeoning jurisprudence regarding privacy, offer a vantage point into the potential shape of forthcoming legislation. Jurists and technology lawyers, including Jaideep Reddy, acknowledge ongoing protections yet underscore the imperativeness of continued discourse to gauge the adequacy of current laws in this nascent arena.

Conclusion 

The dialogue surrounding neurorights emerges, not merely as another thread in our social fabric, but as a tapestry unto itself – intricately woven with the threads of autonomy, liberty, and privacy. As we hover at the edge of tomorrow, these conversations crystallize into an imperative collective undertaking, promising to define the sanctity of cognitive liberty. The issue at hand is nothing less than a societal reckoning with the final frontier – the safeguarding of the privacy of our thoughts.

References:

https://indianexpress.com/article/technology/science/neurorights-neurotechnology-brain-implant-9030260/

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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 

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‍Introduction 

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In September 2025, social media feeds were flooded with strikingly vintage saree-type portraits. These images were not taken by professional photographers, but AI-generated images. More than a million people turned to the "Nano Banana" AI tool of Google Gemini, uploading their ordinary selfies and watching them transform into Bollywood-style, cinematic, 1990s posters. The popularity of this trend is evident, as are the concerns of law enforcement agencies and cybersecurity experts regarding risks of infringement of privacy, unauthorised data sharing, and threats related to deepfake misuse.

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What is the Trend?

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This trend in AI sarees is created using Google Geminis' Nano Banana image-editing tool, editing and morphing uploaded selfies into glitzy vintage portraits in traditional Indian attire. A user would upload a clear photograph of a solo subject and enter prompts to generate images of cinematic backgrounds, flowing chiffon sarees, golden-hour ambience, and grainy film texture, reminiscent of classic Bollywood imagery. Since its launch, the tool has processed over 500 million images, with the saree trend marking one of its most popular uses. Photographs are uploaded to an AI system, which uses machine learning to alter the pictures according to the description specified. The transformed AI portraits are then shared by users on their Instagram, WhatsApp, and other social media platforms, thereby contributing to the viral nature of the trend.

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Law Enforcement Agency Warnings

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1. A few Indian police agencies have issued strong advisories against participation in such trends. IPS Officer VC Sajjanar warned the public: "The uploading of just one personal photograph can make greedy operators go from clicking their fingers to joining hands with criminals and emptying one's bank account." His advisory had further warned that sharing personal information through trending apps can lead to many scams and fraud.
2. Jalandhar Rural Police issued a comprehensive warning stating that such applications put the user at risk of identity theft and online fraud when personal pictures are uploaded. A senior police officer stated: "Once sensitive facial data is uploaded, it can be stored, analysed, and even potentially misused to open the way for cyber fraud, impersonation, and digital identity crimes.

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The Cyber Crime Police also put out warnings on social media platforms regarding how photo applications appear entertaining but can pose serious risks to user privacy. They specifically warned that selfies uploaded can lead to data misuse, deepfake creation, and the generation of fake profiles, which are punishable under Sections 66C and 66D of the IT Act 2000.

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Consequences of Such Trends

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The massification of AI photo trends has several severe effects on private users and society as a whole. Identity fraud and theft are the main issues, as uploaded biometric information can be used by hackers to generate imitated identities, evading security measures or committing financial fraud. The facial recognition information shared by means of these trends remains a digital asset that could be abused years after the trend has passed. ‘Deepfake’ production is another tremendous threat because personal images shared on AI platforms can be utilised to create non-consensual artificial media. Studies have found that more than 95,000 deepfake videos circulated online in 2023 alone, a 550% increase from 2019. The images uploaded can be leveraged to produce embarrassing or harmful content that can cause damage to personal reputation, relationships, and career prospects.

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Financial exploitation is also when fake applications in the guise of genuine AI tools strip users of their personal data and financial details. Such malicious platforms tend to look like well-known services so as to trick users into divulging sensitive information. Long-term privacy infringement also comes about due to the permanent retention and possible commercial exploitation of personal biometric information by AI firms, even when users close down their accounts.

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Privacy Risks

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A few months ago, the Ghibli trend went viral, and now this new trend has taken over. Such trends may subject users to several layers of privacy threats that go far beyond the instant gratification of taking pleasing images. Harvesting of biometric data is the most critical issue since facial recognition information posted on these sites becomes inextricably linked with user identities. Under Google's privacy policy for Gemini tools, uploaded images might be stored temporarily for processing and may be kept for longer periods if used for feedback purposes or feature development. 

Illegal data sharing happens when AI platforms provide user-uploaded content to third parties without user consent. A Mozilla Foundation study in 2023 discovered that 80% of popular AI apps had either non-transparent data policies or obscured the ability of users to opt out of data gathering. This opens up opportunities for personal photographs to be shared with anonymous entities for commercial use. Exploitation of training data includes the use of personal photos uploaded to enhance AI models without notifying or compensating users. Although Google provides users with options to turn off data sharing within privacy settings, most users are ignorant of these capabilities. Integration of cross-platform data increases privacy threats when AI applications use data from interlinked social media profiles, providing detailed user profiles that can be taken advantage of for purposeful manipulation or fraud. Inadequacy of informed consent continues to be a major problem, with users engaging in trends unaware of the entire context of sharing information. Studies show that 68% of individuals show concern regarding the misuse of AI app data, but 42% use these apps without going through the terms and conditions.

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CyberPeace Expert Recommendations

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While the Google Gemini image trend feature operates under its own terms and conditions, it is important to remember that many other tools and applications allow users to generate similar content. Not every platform can be trusted without scrutiny, so users who engage in such trends should do so only on trustworthy platforms and make reliable, informed choices. Above all, following cybersecurity best practices and digital security principles remains essential.

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Here are some best practices:-

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1.Immediate Protection Measures for User

In a nutshell, protection of personal information may begin by not uploading high-resolution personal photos into AI-based applications, especially those trained for facial recognition. Instead, a person can play with stock images or non-identifiable pictures to the degree that it satisfies the program's creative features without compromising biometric security. Strong privacy settings should exist on every social media platform and AI app by which a person can either limit access to their data, content, or anything else.

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2.Organisational Safeguards

AI governance frameworks within organisations should enumerate policies regarding the usage of AI tools by employees, particularly those concerning the upload of personal data. Companies should appropriately carry out due diligence before the adoption of an AI product made commercially available for their own use in order to ensure that such a product has its privacy and security levels as suitable as intended by the company. Training should instruct employees regarding deepfake technology.

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3.Technical Protection Strategies

Deepfake detection software should be used. These tools, which include Microsoft Video Authenticator, Intel FakeCatcher, and Sensity AI, allow real-time detection with an accuracy higher than 95%. Use blockchain-based concepts to verify content to create tamper-proof records of original digital assets so that the method of proposing deepfake content as original remains very difficult.

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4.Policy and Awareness Initiatives

For high-risk transactions, especially in banks and identity verification systems, authentication should include voice and face liveness checks to ensure the person is real and not using fake or manipulated media. Implement digital literacy programs to empower users with knowledge about AI threats, deepfake detection techniques, and safe digital practices. Companies should also liaise with law enforcement, reporting purported AI crimes, thus offering assistance in combating malicious applications of synthetic media technology.

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5.Addressing Data Transparency and Cross-Border AI Security

Regulatory systems need to be called for requiring the transparency of data policies in AI applications, along with providing the rights and choices to users regarding either Biometric data or any other data. Promotion must be given to the indigenous development of AI pertaining to India-centric privacy concerns, assuring the creation of AI models in a secure, transparent, and accountable manner. In respect of cross-border AI security concerns, there must be international cooperation for setting common standards of ethical design, production, and use of AI. With the virus-like contagiousness of AI phenomena such as saree editing trends, they portray the potential and hazards of the present-day generation of artificial intelligence. While such tools offer newer opportunities, they also pose grave privacy and security concerns, which should have been considered quite some time ago by users, organisations, and policy-makers. Through the setting up of all-around protection mechanisms and keeping an active eye on digital privacy, both individuals and institutions will reap the benefits of this AI innovation, and they shall not fall on the darker side of malicious exploitation. 

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References

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1. https://www.hindustantimes.com/trending/amid-google-gemini-nano-banana-ai-trend-ips-officer-warns-people-about-online-scams-101757980904282.html%202
2. https://www.moneycontrol.com/news/india/viral-banana-ai-saree-selfies-may-risk-fraud-warn-jalandhar-rural-police-13549443.html
3. https://www.parliament.nsw.gov.au/researchpapers/Documents/Sexually%20explicit%20deepfakes.pdf
4. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
5. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
6. https://socradar.io/top-10-ai-deepfake-detection-tools-2025/

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