#FactCheck-AI-Generated Audio Falsely Added to Dharmendra Pradhan Video to Claim His Resignation as Education Minister

‍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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Introduction 

Prebunking is a technique that shifts the focus from directly challenging falsehoods or telling people what they need to believe to understanding how people are manipulated and misled online to begin with. It is a growing field of research that aims to help people resist persuasion by misinformation. Prebunking, or "attitudinal inoculation," is a way to teach people to spot and resist manipulative messages before they happen.  The crux of the approach is rooted in taking a step backwards and nipping the problem in the bud by deepening our understanding of it, instead of designing redressal mechanisms to tackle it after the fact. It has been proven effective in helping a wide range of people build resilience to misleading information.

Prebunking is a psychological strategy for countering the effect of misinformation with the goal of assisting individuals in identifying and resisting deceptive content, hence increasing resilience against future misinformation. Online manipulation is a complex issue, and multiple approaches are needed to curb its worst effects. Prebunking provides an opportunity to get ahead of online manipulation, providing a layer of protection before individuals encounter malicious content. Prebunking aids individuals in discerning and refuting misleading arguments, thus enabling them to resist a variety of online manipulations. 

Prebunking builds mental defenses for misinformation by providing warnings and counterarguments before people encounter malicious content. Inoculating people against false or misleading information is a powerful and effective method for building trust and understanding along with a personal capacity for discernment and fact-checking. Prebunking teaches people how to separate facts from myths by teaching them the importance of thinking in terms of ‘how you know what you know’ and consensus-building. Prebunking uses examples and case studies to explain the types and risks of misinformation so that individuals can apply these learnings to reject false claims and manipulation in the future as well. 

How Prebunking Helps Individuals Spot Manipulative Messages

Prebunking helps individuals identify manipulative messages by providing them with the necessary tools and knowledge to recognize common techniques used to spread misinformation. Successful prebunking strategies include;

1. Warnings;
2. Preemptive Refutation: It explains the narrative/technique and how particular information is manipulative in structure. The Inoculation treatment messages typically include 2-3 counterarguments and their refutations. An effective rebuttal provides the viewer with skills to fight any erroneous or misleading information they may encounter in the future.
3. Micro-dosing: A weakened or practical example of misinformation that is innocuous. 

All these alert individuals to potential manipulation attempts. Prebunking also offers weakened examples of misinformation, allowing individuals to practice identifying deceptive content. It activates mental defenses, preparing individuals to resist persuasion attempts. Misinformation can exploit cognitive biases: people tend to put a lot of faith in things they’ve heard repeatedly - a fact that malicious actors manipulate by flooding the Internet with their claims to help legitimise them by creating familiarity. The ‘prebunking’ technique helps to create resilience against misinformation and protects our minds from the harmful effects of misinformation. 

Prebunking essentially helps people control the information they consume by teaching them how to discern between accurate and deceptive content. It enables one to develop critical thinking skills, evaluate sources adequately and identify red flags. By incorporating these components and strategies, prebunking enhances the ability to spot manipulative messages, resist deceptive narratives, and make informed decisions when navigating the very dynamic and complex information landscape online.

CyberPeace Policy Recommendations

• Preventing and fighting misinformation necessitates joint efforts between different stakeholders. The government and policymakers should sponsor prebunking initiatives and information literacy programmes to counter misinformation and adopt systematic approaches. Regulatory frameworks should encourage accountability in the dissemination of online information on various platforms. Collaboration with educational institutions, technological companies and civil society organisations can assist in the implementation of prebunking techniques in a variety of areas.
• Higher educational institutions should support prebunking and media literacy and offer professional development opportunities for educators, and scholars by working with academics and professionals on the subject of misinformation by producing research studies on the grey areas and challenges associated with misinformation.
• Technological companies and social media platforms should improve algorithm transparency, create user-friendly tools and resources, and work with fact-checking organisations to incorporate fact-check labels and tools.
• Civil society organisations and NGOs should promote digital literacy campaigns to spread awareness on misinformation and teach prebunking strategies and critical information evaluation. Training programmes should be available to help people recognise and resist deceptive information using prebunking tactics. Advocacy efforts should support legislation or guidelines that support and encourage prebunking efforts and promote media literacy as a basic skill in the digital landscape. 
• Media outlets and journalists including print & social media should follow high journalistic standards and engage in fact-checking activities to ensure information accuracy before release. Collaboration with prebunking professionals, cyber security experts, researchers and advocacy analysts can result in instructional content and initiatives that promote media literacy, prebunking strategies and misinformation awareness.

Final Words

The World Economic Forum's Global Risks Report 2024 identifies misinformation and disinformation as the top most significant risks for the next two years. Misinformation and disinformation are rampant in today’s digital-first reality, and the ever-growing popularity of social media is only going to see the challenges compound further. It is absolutely imperative for all netizens and stakeholders  to adopt proactive approaches to counter the growing problem of misinformation. Prebunking is a powerful problem-solving tool in this regard because it aims at ‘protection through prevention’ instead of limiting the strategy to harm reduction and redressal.  We can draw parallels with the concept of vaccination or inoculation, reducing the probability of a misinformation infection. Prebunking exposes us to a weakened form of misinformation and provides ways to identify it, reducing the chance false information takes root in our psyches.

The most compelling attribute of this approach is that the focus is not only on preventing damage but also creating widespread ownership and citizen participation in the problem-solving process. Every empowered individual creates an additional layer of protection against the scourge of misinformation, not only making safer choices for themselves but also lowering the risk of spreading false claims to others.  

References

• [1] https://www3.weforum.org/docs/WEF_The_Global_Risks_Report_2024.pdf
• [2] https://prebunking.withgoogle.com/docs/A_Practical_Guide_to_Prebunking_Misinformation.pdf
• [3] https://ijoc.org/index.php/ijoc/article/viewFile/17634/3565

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Introduction

With the increasing frequency and severity of cyber-attacks on critical sectors, the government of India has formulated the National Cyber Security Reference Framework (NCRF) 2023, aimed to address cybersecurity concerns in India. In today’s digital age, the security of critical sectors is paramount due to the ever-evolving landscape of cyber threats. Cybersecurity measures are crucial for protecting essential sectors such as banking, energy, healthcare, telecommunications, transportation, strategic enterprises, and government enterprises. This is an essential step towards safeguarding these critical sectors and preparing for the challenges they face in the face of cyber threats. Protecting critical sectors from cyber threats is an urgent priority that requires the development of robust cybersecurity practices and the implementation of effective measures to mitigate risks.

Overview of the National Cyber Security Policy 2013

The National Cyber Security Policy of 2013 was the first attempt to address cybersecurity concerns in India. However, it had several drawbacks that limited its effectiveness in mitigating cyber risks in the contemporary digital age. The policy’s outdated guidelines, insufficient prevention and response measures, and lack of legal implications hindered its ability to protect critical sectors adequately. Moreover, the policy should have kept up with the rapidly evolving cyber threat landscape and emerging technologies, leaving organisations vulnerable to new cyber-attacks. The 2013 policy failed to address the evolving nature of cyber threats, leaving organisations needing updated guidelines to combat new and sophisticated attacks.

As a result, an updated and more comprehensive policy, the National Cyber Security Reference Framework 2023, was necessary to address emerging challenges and provide strategic guidance for protecting critical sectors against cyber threats.

Highlights of NCRF 2023

• Strategic Guidance: NCRF 2023 has been developed to provide organisations with strategic guidance to address their cybersecurity concerns in a structured manner.
• Common but Differentiated Responsibility (CBDR): The policy is based on a CBDR approach, recognising that different organisations have varying levels of cybersecurity needs and responsibilities.
• Update of National Cyber Security Policy 2013: NCRF supersedes the National Cyber Security Policy 2013, which was due for an update to align with the evolving cyber threat landscape and emerging challenges.
• Different from CERT-In Directives: NCRF is distinct from the directives issued by the Indian Computer Emergency Response Team (CERT-In) published in April 2023. It provides a comprehensive framework rather than specific directives for reporting cyber incidents.
• Combination of robust strategies: National Cyber Security Reference Framework 2023 will provide strategic guidance, a revised structure, and a proactive approach to cybersecurity, enabling organisations to tackle the growing cyberattacks in India better and safeguard critical sectors.

Rising incidents of malware attacks on critical sectors

In recent years, there has been a significant increase in malware attacks targeting critical sectors. These sectors, including banking, energy, healthcare, telecommunications, transportation, strategic enterprises, and government enterprises, play a crucial role in the functioning of economies and the well-being of societies. The escalating incidents of malware attacks on these sectors have raised concerns about the security and resilience of critical infrastructure.

• Banking: The banking sector handles sensitive financial data and is a prime target for cybercriminals due to the potential for financial fraud and theft.
• Energy: The energy sector, including power grids and oil companies, is critical for the functioning of economies, and disruptions can have severe consequences for national security and public safety.
• Healthcare: The healthcare sector holds valuable patient data, and cyber-attacks can compromise patient privacy and disrupt healthcare services. Malware attacks on healthcare organisations can result in the theft of patient records, ransomware incidents that cripple healthcare operations, and compromise medical devices.
• Telecommunications: Telecommunications infrastructure is vital for reliable communication, and attacks targeting this sector can lead to communication disruptions and compromise the privacy of transmitted data. The interconnectedness of telecommunications networks globally presents opportunities for cybercriminals to launch large-scale attacks, such as Distributed Denial-of-Service (DDoS) attacks.
• Transportation: Malware attacks on transportation systems can lead to service disruptions, compromise control systems, and pose safety risks.
• Strategic Enterprises: Strategic enterprises, including defence, aerospace, intelligence agencies, and other sectors vital to national security, face sophisticated malware attacks with potentially severe consequences. Cyber adversaries target these enterprises to gain unauthorised access to classified information, compromise critical infrastructure, or sabotage national security operations.
• Government Enterprises: Government organisations hold a vast amount of sensitive data and provide essential services to citizens, making them targets for data breaches and attacks that can disrupt critical services.

Conclusion  

The sectors of banking, energy, healthcare, telecommunications, transportation, strategic enterprises, and government enterprises face unique vulnerabilities and challenges in the face of cyber-attacks. By recognising the significance of safeguarding these sectors, we can emphasise the need for proactive cybersecurity measures and collaborative efforts between public and private entities. Strengthening regulatory frameworks, sharing threat intelligence, and adopting best practices are essential to ensure our critical infrastructure’s resilience and security. Through these concerted efforts, we can create a safer digital environment for these sectors, protecting vital services and preserving the integrity of our economy and society. The rising incidents of malware attacks on critical sectors emphasise the urgent need for updated cybersecurity policy, enhanced cybersecurity measures, a collaboration between public and private entities, and the development of proactive defence strategies. National Cyber Security Reference Framework 2023 will help in addressing the evolving cyber threat landscape, protect critical sectors, fill the gaps in sector-specific best practices, promote collaboration, establish a regulatory framework, and address the challenges posed by emerging technologies. By providing strategic guidance, this framework will enhance organisations’ cybersecurity posture and ensure the protection of critical infrastructure in an increasingly digitised world.