#FactCheck -Fake Viral Poster Falsely Attributes Political Endorsement of Rahul Gandhi to Sachin Tendulkar
Executive Summary
A post claiming that former Indian cricketer Sachin Tendulkar praised Congress leader Rahul Gandhi and urged people to elect him as Prime Minister is being widely circulated on social media.The viral poster falsely attributes a political statement to Sachin Tendulkar, suggesting that he has endorsed Rahul Gandhi for the post of Prime Minister. However, CyberPeace Research Wing research found the claim to be fake. Sachin Tendulkar has not made any such appeal or statement supporting Rahul Gandhi for Prime Minister.
Claim
On X (formerly Twitter), a verified user “Queen” shared a viral poster claiming:“Sachin Tendulkar has always supported education and never promoted superstition. Rahul Gandhi always predicts what Narendra Modi will do next. It is time to choose Rahul Gandhi again.”
Fact Check
To verify the claim, we first searched for any news reports, interviews, or credible references linking Sachin Tendulkar to such a political statement. However, we found no evidence in any reliable media source or public record suggesting that he made any such remark about Rahul Gandhi or the Prime Ministership. We also reviewed Sachin Tendulkar’s official social media accounts, but found no post, video, or statement endorsing any political leader in this manner.
Finally, the viral poster was analysed using the AI detection tool Hive Moderation. The analysis indicated a 96.8% probability that the poster was digitally created or manipulated, suggesting possible AI-generated or edited content.
Conclusion
CyberPeace Research Wing research found the claim to be fake. Sachin Tendulkar has not made any appeal to elect Rahul Gandhi as Prime Minister. The viral poster appears to be digitally fabricated and is being shared to spread misinformation.
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Introduction
The G7 nations, a group of the most powerful economies, have recently turned their attention to the critical issue of cybercrimes and (AI) Artificial Intelligence. G7 summit has provided an essential platform for discussing the threats and crimes occurring from AI and lack of cybersecurity. These nations have united to share their expertise, resources, diplomatic efforts and strategies to fight against cybercrimes. In this blog, we shall investigate the recent development and initiatives undertaken by G7 nations, exploring their joint efforts to combat cybercrime and navigate the evolving landscape of artificial intelligence. We shall also explore the new and emerging trends in cybersecurity, providing insights into ongoing challenges and innovative approaches adopted by the G7 nations and the wider international community.
G7 Nations and AI
Each of these nations have launched cooperative efforts and measures to combat cybercrime successfully. They intend to increase their collective capacities in detecting, preventing, and responding to cyber assaults by exchanging intelligence, best practices, and experience. G7 nations are attempting to develop a strong cybersecurity architecture capable of countering increasingly complex cyber-attacks through information-sharing platforms, collaborative training programs, and joint exercises.
The G7 Summit provided an important forum for in-depth debates on the role of artificial intelligence (AI) in cybersecurity. Recognising AI’s transformational potential, the G7 nations have participated in extensive discussions to investigate its advantages and address the related concerns, guaranteeing responsible research and use. The nation also recognises the ethical, legal, and security considerations of deploying AI cybersecurity.
Worldwide Rise of Ransomware
High-profile ransomware attacks have drawn global attention, emphasising the need to combat this expanding threat. These attacks have harmed organisations of all sizes and industries, leading to data breaches, operational outages, and, in some circumstances, the loss of sensitive information. The implications of such assaults go beyond financial loss, frequently resulting in reputational harm, legal penalties, and service delays that affect consumers, clients, and the public. The increase in high-profile ransomware incidents has garnered attention worldwide, Cybercriminals have adopted a multi-faceted approach to ransomware attacks, combining techniques such as phishing, exploit kits, and supply chain Using spear-phishing, exploit kits, and supply chain hacks to obtain unauthorised access to networks and spread the ransomware. This degree of expertise and flexibility presents a substantial challenge to organisations attempting to protect against such attacks.
Focusing On AI and Upcoming Threats
During the G7 summit, one of the key topics for discussion on the role of AI (Artificial Intelligence) in shaping the future, Leaders and policymakers discuss the benefits and dangers of AI adoption in cybersecurity. Recognising AI’s revolutionary capacity, they investigate its potential to improve defence capabilities, predict future threats, and secure vital infrastructure. Furthermore, the G7 countries emphasise the necessity of international collaboration in reaping the advantages of AI while reducing the hazards. They recognise that cyber dangers transcend national borders and must be combated together. Collaboration in areas such as exchanging threat intelligence, developing shared standards, and promoting best practices is emphasised to boost global cybersecurity defences. The G7 conference hopes to set a global agenda that encourages responsible AI research and deployment by emphasising the role of AI in cybersecurity. The summit’s sessions present a path for maximising AI’s promise while tackling the problems and dangers connected with its implementation.
As the G7 countries traverse the complicated convergence of AI and cybersecurity, their emphasis on collaboration, responsible practices, and innovation lays the groundwork for international collaboration in confronting growing cyber threats. The G7 countries aspire to establish robust and secure digital environments that defend essential infrastructure, protect individuals’ privacy, and encourage trust in the digital sphere by collaboratively leveraging the potential of AI.
Promoting Responsible Al development and usage
The G7 conference will focus on developing frameworks that encourage ethical AI development. This includes fostering openness, accountability, and justice in AI systems. The emphasis is on eliminating biases in data and algorithms and ensuring that AI technologies are inclusive and do not perpetuate or magnify existing societal imbalances.
Furthermore, the G7 nations recognise the necessity of privacy protection in the context of AI. Because AI systems frequently rely on massive volumes of personal data, summit speakers emphasise the importance of stringent data privacy legislation and protections. Discussions centre around finding the correct balance between using data for AI innovation, respecting individuals’ privacy rights, and protecting data security. In addition to responsible development, the G7 meeting emphasises the importance of responsible AI use. Leaders emphasise the importance of transparent and responsible AI governance frameworks, which may include regulatory measures and standards to ensure AI technology’s ethical and legal application. The goal is to defend individuals’ rights, limit the potential exploitation of AI, and retain public trust in AI-driven solutions.
The G7 nations support collaboration among governments, businesses, academia, and civil society to foster responsible AI development and use. They stress the significance of sharing best practices, exchanging information, and developing international standards to promote ethical AI concepts and responsible practices across boundaries. The G7 nations hope to build the global AI environment in a way that prioritises human values, protects individual rights, and develops trust in AI technology by fostering responsible AI development and usage. They work together to guarantee that AI is a force for a good while reducing risks and resolving social issues related to its implementation.
Challenges on the way
During the summit, the nations, while the G7 countries are committed to combating cybercrime and developing responsible AI development, they confront several hurdles in their efforts. Some of them are:
A Rapidly Changing Cyber Threat Environment: Cybercriminals’ strategies and methods are always developing, as is the nature of cyber threats. The G7 countries must keep up with new threats and ensure their cybersecurity safeguards remain effective and adaptable.
Cross-Border Coordination: Cybercrime knows no borders, and successful cybersecurity necessitates international collaboration. On the other hand, coordinating activities among nations with various legal structures, regulatory environments, and agendas can be difficult. Harmonising rules, exchanging information, and developing confidence across states are crucial for effective collaboration.
Talent Shortage and Skills Gap: The field of cybersecurity and AI knowledge necessitates highly qualified personnel. However, skilled individuals in these fields need more supply. The G7 nations must attract and nurture people, provide training programs, and support research and innovation to narrow the skills gap.
Keeping Up with Technological Advancements: Technology changes at a rapid rate, and cyber-attacks become more complex. The G7 nations must ensure that their laws, legislation, and cybersecurity plans stay relevant and adaptive to keep up with future technologies such as AI, quantum computing, and IoT, which may both empower and challenge cybersecurity efforts.
Conclusion
To combat cyber threats effectively, support responsible AI development, and establish a robust cybersecurity ecosystem, the G7 nations must constantly analyse and adjust their strategy. By aggressively tackling these concerns, the G7 nations can improve their collective cybersecurity capabilities and defend their citizens’ and global stakeholders’ digital infrastructure and interests.
Introduction
Google’s search engine is widely known for its ability to tailor its search results based on user activity, enhancing the relevance of search outcomes. Recently, Google introduced the ‘Try Without Personalisation’ feature. This feature allows users to view results independent of their prior activity. This change marks a significant shift in platform experiences, offering users more control over their search experience while addressing privacy concerns.
However, even in this non-personalised mode, certain contextual factors including location, language, and device type, continue to influence results. This essentially provides the search with a baseline level of relevance. This feature carries significant policy implications, particularly in the areas of privacy, consumer rights, and market competition.
Understanding the Feature
When users engage with this option of non-personalised search, it will no longer show them helpful individual results that are personalisation-dependent and will instead provide unbiased search results. Essentially,this feature provides users with neutral (non-personalised) search results by bypassing their data.
This feature allows the following changes:
- Disables the user’s ability to find past searches in Autofill/Autocomplete.
- Does not pause or delete stored activity within a user’s Google account. Users, because of this feature, will be able to pause or delete stored activity through data and privacy controls.
- The feature doesn't delete or disable app/website preferences like language or search settings are some of the unaffected preferences.
- It also does not disable or delete the material that users save.
- When a user is signed in, they can ‘turn off the personalisation’ by clicking on the search option at the end of the webpage. These changes, offered by the feature, in functionality, have significant implications for privacy, competition, and user trust.
Policy Implications: An Analysis
This feature aligns with global privacy frameworks such as the GDPR in the EU and the DPDP Act in India. By adhering to principles like data minimisation and user consent, it offers users control over their data and the choice to enable or disable personalisation, thereby enhancing user autonomy and trust.
However, there is a trade-off between user expectations for relevance and the impartiality of non-personalised results. Additionally, the introduction of such features may align with emerging regulations on data usage, transparency, and consent. Policymakers play a crucial role in encouraging innovations like these while ensuring they safeguard user rights and maintain a competitive market.
Conclusion and Future Outlook
Google's 'Try Without Personalisation' feature represents a pivotal moment for innovation by balancing user privacy with search functionality. By aligning with global privacy frameworks such as the GDPR and the DPDP Act, it empowers users to control their data while navigating the complex interplay between relevance and neutrality. However, its success hinges on overcoming technical hurdles, fostering user understanding, and addressing competitive and regulatory scrutiny. As digital platforms increasingly prioritise transparency, such features could redefine user expectations and regulatory standards in the evolving tech ecosystem.
References
Introduction
The banking and finance sector worldwide is among the most vulnerable to cybersecurity attacks. Moreover, traditional threats such as DDoS attacks, ransomware, supply chain attacks, phishing, and Advanced Persistent Threats (APTs) are becoming increasingly potent with the growing adoption of AI. It is crucial for banking and financial institutions to stay ahead of the curve when it comes to their cybersecurity posture, something that is possible only through a systematic approach to security. In this context, the Reserve Bank of India’s latest Financial Stability Report (June 2025) acknowledges that cybersecurity risks are systemic to the sector, particularly the securities market, and have to be treated as such.
What the Financial Stability Report June 2025 Says
The report notes that the increasing scale of digital financial services, cloud-based architecture, and interconnected systems has expanded the cyberattack surface across sectors. It calls for building cybersecurity resilience by improving Security Operations Center (SOC) efficacy, undertaking “risk-based supervision”, implementing “zero-trust approaches”, and “AI-aware defense strategies”. It also recommends the implementation of graded monitoring systems, employing behavioral analytics for threat detection, building adequate skill through hands-on training, engaging in continuous learning and simulation-based exercises like Continuous Assessment-Based Red Teaming (CART), conducting scenario-based resilience drills, and establishing consistent incident reporting frameworks. In addition, it suggests that organizations need to adopt quantifiable benchmarks like SOC Efficacy and Cyber Capability Index to guarantee efficient governance and readiness.
Implications
Firstly, even though the report doesn’t break new ground in identifying cyber risk, it does sharpen its urgency and lays the groundwork for giving more weight to cybersecurity in macroprudential supervision. In the face of emerging threats, it positions cyberattacks as a systemic financial risk that can affect India’s financial stability with the same seriousness as traditional threats like NPAs and capital inadequacy.
Secondly, by calling to “ensure cyber resilience”, it reflects the RBI’s dedication to values-based compliance to cybersecurity policies where effectiveness and adaptability matter more than box-ticking. This approach caters to an organisation’s/ sector’s unique nature, governance requirements, and updates to rising risks. It checks not only if certain measures were used, but also if they were effective, through constant self-assessment, scenario-based training, cyber drills, dynamic risk management, and value-driven audits. In the face of a rapidly expanding digital transactions ecosystem with integration of new technologies such as AI, this approach is imperative to building cyber resilience. The RBI’s report suggests exactly this need for banks and NBFCs to update its parameters for resilience.
Conclusion
While the RBI’s 2016 guidelines focus on core cybersecurity concerns and has issued guidelines on IT governance, outsourcing, and digital payment security, none explicitly codify “AI-aware,” “zero-trust,” or a full “risk-based supervision” mechanism. The more recent emphasis on these concepts comes from the 2025 Financial Stability Report, which uses them as forward-looking policy orientations. How the RBI chooses to operationalize these frameworks is yet to be seen. Further, RBI’s vision cannot operate in a silo. Cross-sector regulators like SEBI, IRDAI, and DoT must align on cyber standards and incident reporting protocols.
In the meanwhile, highly vulnerable sectors like education and healthcare, which have weaker cybersecurity capabilities, can take a leaf from RBI’s book by ensuring that cybersecurity is treated as a continuously evolving issue . Many institutions in these sectors are known to perform goals-based compliance through a simple checklist approach. Institutions that take the lead in implementing zero-trust, diversifying vendor dependencies, and investing in cyber resilience will not only meet regulatory expectations but build long-term competitive advantage.
References
- https://economictimes.indiatimes.com/news/economy/policy/adopt-risk-based-supervision-zero-trust-approach-to-curb-cyberfrauds-rbi/articleshow/122164631.cms?from=mdr-%20500
- https://paramountassure.com/blog/value-driven-cybersecurity/
- https://www.rbi.org.in/commonman/english/Scripts/Notification.aspx?Id=1721
- https://rbidocs.rbi.org.in/rdocs//PublicationReport/Pdfs/0FSRJUNE20253006258AE798B4484642AD861CC35BC2CB3D8E.PDF
