#FactCheck - AI Manipulated image showing Anant Ambani and Radhika Merchant dressed in golden outfits.

‍Introduction 

‍

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.

‍

What is the Trend?

‍

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.

‍

Law Enforcement Agency Warnings

‍

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.

‍

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.

‍

Consequences of Such Trends

‍

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.

‍

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.

‍

Privacy Risks

‍

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.

‍

CyberPeace Expert Recommendations

‍

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.

‍

Here are some best practices:-

‍

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.

‍

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.

‍

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.

‍

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.

‍

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. 

‍

References

‍

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/

‍

Introduction

Whatsapp is one of the leading OTT messaging platforms, which has been owned by the tech giant Meta since 2013. WhatsApp enjoys a user base of nearly 2.24 billion people globally, with almost 487 million users in India. Since the advent of Whatsapp, it has been the most commonly used messaging app, and it has made an impact to such an extent that it is used for professional as well as personal purposes. Meta powers the platform and follows similar guidelines and policies as its parent company.

The New Feature

Users of WhatsApp on the web and desktop can now access one account from various devices. One WhatsApp account may now be used on up to four handsets thanks to a new update from Meta. Be aware that the multi-device capability has been planned for some time and is finally being made available to stable WhatsApp users. Each linked device (up to four devices can be linked) will function independently, and the independent devices will continue to receive messages even if the central device’s network connection is lost. Remember that WhatsApp will automatically log out of all the companion devices if the primary smartphone is dormant for an extended period. Four more gadgets may be a mix of four PCs and smartphones or four smartphones. This feature is now available for updates and downloads on Android as well as iOS platforms.

Potential issues

As we go deeper into the digital age, it is the responsibility of the tech giants to pilot innovation with features of security by design. Thus such new features should be accompanied by coherent safety and security policies or advisories to ensure the users understand the implications of the new features. Convenience over conditions is an essential part of cyberspace. It points to the civic duty of netizens to go through the conditions of any app rather than only focus on the convenience it creates. The following potential issues may arise from the new features on Whatsapp –

• Increased cybercrime- The bad actors now do not need to access SIM cards to commit frauds over the platforms as now on a single number 4 devices can be used hence the cybercriminal activity can increase over the platform. It is also pertinent for the platform to create SoPs for fake accounts which use multiple devices, as they pose a direct threat to the users and their interests.
• Difficulty in identifying and tracing- The LEAs will face a significant issue in identifying the bad actors and tracing them as the individual’s involvement through a linked device needs to be given legal validity and scope for investigation. This may also cause issues in evidence handling and analysis.
• Surge in Misinformation and Disinformation- With access to multiple devices, the screen time of an individual is also bound to increase. This leads to more time spent online, thus causing a rise in instances of misinformation and disinformation by bad actors. Thus the aspect of fack checking is of prime importance.
• Potential Oversharing of Personal Data- With the increased accessibility on different devices, it is very easy for the app to seek data from all devices on which the app is running, thus leading to a bigger reservoir of personal data for the platforms and data fiduciaries.
• Higher risk of Phishing, Ransomware and Malware Attacks- As the devices under the same login credentials and mobile number will increase, the message can be viewed on all the devices, thus increasing the risk of widespread embedded ransomware and malware in multiple devices is and ever-present threat.
• One number, more criminals- This feature will allow cybercriminals to operate using one device only, earlier they used to forge Adhaar cards to get new sims, but this feature will enable the bad actors to commit crimes and attacks from one single SIM using 4 different devices.
• Rise in Digital Footprint- As the number of devices increases, the users will generate more digital footprints. As a tech giant, Meta will have access to a bigger database, which increases the risk of data breaches by third-party actors.

Conclusion

In the fast-paced digital world, it is important to remain updated about new software, technologies and policies for our applications or forms of tech. This was a long-awaited feature from WhatsApp, and its value of it doesn’t lie in technological advancement only but also in the formulation of policies to govern this technology towards the trust and safety aspect of users. The platforms, in synergy with the policy makers, need to create a robust framework to accommodate the new features and add-ons on apps vehicle, staying in compliance with the laws of the land. Awareness about new features and vulnerabilities is a must for all netizens, and it is a shared responsibility for all netizens to spread the word about safety and security mechanisms.

At Semicon India 2025 held recently, the Prime Minister declared, “when the chips are down, you can bet on India”.  The event showcased the country’s first indigenous microprocessor, Vikram, developed by ISRO’s Semiconductor Lab, and announced that commercial chip production will begin by the end of 2025. India aims to become a global player in semiconductor production, and build self-reliance in a world where global supply chains are shifting rapidly. 

Why Semiconductors Matter

Semiconductors power almost everything around us, from laptops and air conditioners to cars and even the tiniest gadget we hardly notice . They’ve rightly been called the “oil of the digital age” because our entire digital world depends on them. But the global supply chain for chips is heavily concentrated. Taiwan alone makes over 60% of the world’s semiconductors and nearly 90% of the most advanced ones. Rising tensions between China and Taiwan have only shown how fragile and risky this dependence can be for the rest of the world. For India, building its own semiconductor base is not just about technology, it is about economic security and reduced dependence on imports.

India’s Push: The Numbers and Projects

The government has committed nearly US$18 billion across 10 projects, making it one of the country’s largest industrial bets in decades. Under the Production Linked Incentive (PLI) scheme, ₹76,000 crore (about US$9.1 billion) was set aside, of which most has already been allocated.

Key developments include:

• Vikram processor – developed at ISRO’s Semiconductor Lab, fabricated on 180nm technology.
• CG Power facility in Sanand, Gujarat – launched in 2024, scaling chip assembly and testing.
• Micron’s investment – ₹22,500+ crore in Gujarat for packaging and testing.
• Tata Electronics–PSMC partnership – ₹91,000 crore tie-up with Taiwan’s Powerchip for fabs.

The domestic market, valued at US$38 billion in 2023, is expected to touch US$100–110 billion by 2030 if growth sustains.

The Technology Gap

While the Vikram chip, a 32 bit microprocessor, is a proud milestone, it highlights the technology gap  India faces. The chip was fabricated using a 180nm CMOS process, a process that was cutting-edge back in the early 2000s. Today, companies like TSMC and Samsung are already producing 3nm chips for smartphones and AI servers, whereas those like Nvidia and Apple have developed chips 2ith 64-bit processing capabilities.

This means India's main focus, to become self-reliant in the mature end of the spectrum useful for space, defense, and automotives and electronics, is far from the global cutting edge. Bridging this gap will require both time and deep technical expertise.

Talent and Design Strengths

On the positive side, India already contributes around 20% of global semiconductor design talent. Two advanced design centers—one in Noida and another in Bengaluru—are working on 3nm designs. The government’s Design Linked Incentive scheme has cleared 20+ projects to nurture startups in chip design.

Over 60,000 engineers have been trained under various programs, but scaling this to the hundreds of thousands needed for fabs remains a challenge. Unlike software development, semiconductor fabrication demands highly specialised skills in process engineering, yield optimization, and supply chain logistics.

Lessons from Global Players

Countries like Taiwan, South Korea, and the US didn’t build their chip industries overnight. Taiwan’s TSMC spent decades and billions of dollars mastering yield rates and building trust with clients. The US recently passed the CHIPS and Science Act to revive domestic production, while the EU has its own Chips Act. Japan, too, has pledged billions, including ¥10 trillion in cooperation with India.

These examples show that success depends not just on funding , but also on harmony between government and private players, consistent execution, ecosystem building, and global partnerships.

The Challenges Ahead

India’s ambitions face several hurdles:

• Capital intensity – A single leading-edge fab costs US$10–20 billion, and requires constant upgrades.
• Supply chain complexity – Hundreds of chemicals, gases, and precision tools are needed, many of which India doesn’t yet produce domestically.
• Technology transfer – Advanced lithography machines (from ASML in the Netherlands, for example) are tightly controlled and not easily available.
• Execution risks – Moving from announcements to commercially viable fabs with competitive yields is where many countries have stumbled.

The Way Forward

India has big ambitions in the field of semi-conductor design and manufacturing, with the goal of becoming a major  global exporter instead of importer. The country appears to be adopting a step-by-step approach, starting with assembly, testing, and mature-node fabs, while simultaneously investing in design, research, and talent. Every successful global power in this industry first mastered older nodes before advancing to cutting-edge levels.

At the same time, international collaborations with players like Micron, Tata-PSMC, and Japan will be critical for technology transfer and capacity building. If India can combine its engineering talent, rising domestic demand, and government backing with the PLI scheme, and drive global collaborations, the outlook can be promising. 

Conclusion

India’s semiconductor story is just beginning, but the direction is clear. The Vikram processor and investment announcement at Semicon 2025 shows the intent of the government. The hard part now lies ahead: moving from prototypes to large-scale production and globally competitive fabs in an industry that demands substantial investment, flawless execution, and years of patience.

Yet the stakes couldn’t be higher. Semiconductors will shape the future of economies and national security . If India plays its cards right by nurturing talent, innovating and researching, and driving global partnerships,  the dream of becoming a global semiconductor hub may well move from ambition to reality.

‍

References 

• https://www.ndtv.com/india-news/when-chips-are-down-bet-on-india-pm-narendra-modis-big-semiconductor-push-6539317 
• https://www.indiatoday.in/science/story/what-is-vikram-32-bit-chip-presented-to-pm-modi-at-semicon-india-2025-2780582-2025-09-02#
• https://www.visionofhumanity.org/the-worlds-dependency-on-taiwans-semiconductor-industry-is-increasing/ 
• https://m.economictimes.com/tech/artificial-intelligence/tata-electronics-and-powerchip-semiconductor-manufacturing-corporation-to-build-indias-first-semiconductor-fab/articleshow/113694273.cms 
• https://www.business-standard.com/economy/news/10-trillion-yen-in-10-years-japan-pledges-big-investment-in-india-125082901564_1.html 
• https://www.oecd.org/content/dam/oecd/en/publications/reports/2023/06/vulnerabilities-in-the-semiconductor-supply-chain_f4de7491/6bed616f-en.pdf 
• https://techwireasia.com/2025/09/semiconductor-india-commercial-production-2025/ 

‍