#FactCheck -AI-Generated Image Falsely Claims Mukesh and Nita Ambani Gifted Luxury Car to Suryakumar Yadav

‍Introduction

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The misinformation crisis has evolved from being merely an abstract risk to a clear-cut and measurable danger to individuals, families, institutions and the whole information ecosystem. The recent death hoax with the famous actor Dharmendra is a perfect illustration of how the monster of falsehoods rises, conquers the world and does damage before the mechanisms of correction have a chance to operate. The first week of November 2025 saw the first wave of reports from different social media accounts and even some online news outlets that claimed Dharmendra had died at the age of 89. The news travelled like wildfire, causing confusion, grief and emotional suffering in large circles of fans, one could say the whole world. But then, the family came to the scene with the loudest, clearest, and most conclusive denial of them all. This case is not a one-time event. It is part of a cycle of misinformation that goes through the stages from one unverified claim to the next due to the emotional value, the virality of platforms, and the accelerating online engagement.

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How One Wrong Post Can Create Worry and Fear

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This kind of false news spreads fast on social media because people share emotional posts without checking the source, and automated accounts often repeat the same claim which makes it look true. Such hoaxes create fear, sadness and stress for fans, and they place sudden pressure on the family who must deal with public worry at a time when they need calm and privacy. The message shared by Hema Malini who is the wife of the actor shows how hurtful and careless misinformation can be, and it reminds everyone that even one false post can create real emotional damage for many people.

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Why This Hoax Spread So Quickly

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1. Sensationalism Drives Engagement: Rumours regarding the passing of a public figure, particularly someone who is universally loved, cause an immediate outburst of feelings. Such news is practically taken for granted by the online public, who are very likely to share it, most of the time without checking its authenticity, which, in turn, leads to viral spread. 
2. Very Fast Weaving-in on social media: Social media networks are very much made for swift sharing. Long before the official sources were able to either confirm or dismiss the matter, posts, reels, and messages ripped through the networks.
3. Digital Users Not Verifying Source: A large part of the audience depends on screenshots, forwards, and unverified posts for keeping up with the news. This opens a very nice environment for the spreading of hoaxes. 
4. Weak Verification Protocols: Although there have been measures to inform the public about misinformation, most news companies still give priority to the speed of reporting rather than its correctness, though not all the time, especially for the more entertaining and attractive topics like the health or death of famous people. 
5. Algorithmic Amplification Risks: The engagement is mainly driven by algorithms that bring to the surface the posts that evoke strong emotions. In a way, it is very unfair because the false or sensational claims are getting in front at the same time as the corrective updates, hence, the public is getting misled. In the absence of algorithmic safeguards, misinformation is on the rise and becoming stronger.

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Best Practices For Users: 

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• Make sure to verify before sharing, especially if the topic is about health or death. 
• Get updates by following official accounts rather than through sharing of viral forwards. 
• Be aware of the emotional manipulation tactics used in misleading information. 

Conclusion

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The rumour surrounding Dharmendra's death is yet another example that misinformation, whether promptly corrected or not, can still inflict distress, cause loss of trust and damage to reputation. It also emphasises the need for stronger information governance, responsible digital journalism, and platform intervention mechanisms as a matter of urgency. This incident, from clicks to consequences, points to a basic truth: misinformation in the digital age is quicker to spread than facts, and the responsibility of putting a stop to it falls on all the stakeholders’ platforms, media, and users.

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References

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• https://timesofindia.indiatimes.com/entertainment/hindi/bollywood/news/esha-deol-and-hema-malini-dismiss-dharmendras-fake-death-news-relieved-fans-pray-for-actors-speedy-recovery-aap-jld-se-jld-apne-ghar-aye/articleshow/125242843.cms
• https://www.altnews.in/media-misreport-bollywood-actor-dharmendra-hasnt-passed-away-yet/
• https://economictimes.indiatimes.com/news/india/dharmendra-death-news-bollywoods-veeru-and-he-man-passes-away-at-89/articleshow/125238900.cms

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Executive Summary:

Footage of the Afghanistan cricket team singing ‘Vande Mataram’ after India’s triumph in ICC T20 WC 2024 exposed online.  The CyberPeace Research team carried out a thorough research to uncover the truth about the viral video. The original clip was posted on X platform by Afghan cricketer Mohammad Nabi on October 23, 2023 where the Afghan players posted the video chanting  ‘Allah-hu Akbar’ after winning the ODIs in the World Cup against Pakistan. This debunks the assertion made in the viral video about the people chanting Vande Mataram.

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Claims:

Afghan cricket players chanted "Vande Mataram" to express support for India after India’s victory over Australia in the ICC T20 World Cup 2024.

Fact Check:

Upon receiving the posts, we analyzed the video and found some inconsistency in the video such as the lip sync of the video. 

We checked the video in an AI audio detection tool named “True Media”, and the detection tool found the audio to be 95% AI-generated which made us more suspicious of the authenticity of the video.

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For further verification, we then divided the video into keyframes. We reverse-searched one of the frames of the video to find any credible sources. We then found the X account of Afghan cricketer Mohammad Nabi, where  he uploaded the same video in his account with a caption, “Congratulations! Our team emerged triumphant n an epic battle against ending a long-awaited victory drought. It was a true test of skills & teamwork. All showcased thr immense tlnt & unwavering dedication. Let's celebrate ds 2gether n d glory of our great team & people” on 23 Oct, 2023.

We found that the audio is different from the viral video, where we can hear Afghan players chanting “Allah hu Akbar” in their victory against Pakistan. The Afghan players were not chanting Vande Mataram after India’s victory over Australia in T20 World Cup 2014.

Hence, upon lack of credible sources and detection of AI voice alteration, the claim made in the viral posts is fake and doesn’t represent the actual context. We have previously debunked such AI voice alteration videos. Netizens must be careful before believing misleading information.

Conclusion:

The viral video claiming that Afghan cricket players chanted "Vande Mataram" in support of India is false. The video was altered from the original video by using audio manipulation.  The original video of Afghanistan players celebrating victory over Pakistan by chanting "Allah-hu Akbar" was posted in the official Instagram account of Mohammad Nabi, an Afghan cricketer. Thus the information is fake and misleading.

• Claim: Afghan cricket players chanted "Vande Mataram" to express support for India after the victory over Australia in the ICC T20 World Cup 2024.
• Claimed on: YouTube
• Fact Check: Fake & Misleading

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Introduction

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In the hyperconnected world, cyber incidents can no longer be treated as sporadic disruptions; such incidents have become an everyday occurrence. The attack landscape today is very consequential and shows significant multiplication in its frequency, with ransomware attacks incapacitating a health system, phishing attacks hitting a financial institution, or state-sponsored attacks on critical infrastructures. Towards counteracting such threats, traditional ways alone are not enough, they gravely rely on manual research and human intellect. Attackers exercise speed, scale, and stealth, and defenders are always four steps behind. With such a widening gap, it is deemed necessary to facilitate incident response and crisis management with the intervention of automation and artificial intelligence (AI) for faster detection, context-driven decision-making, and collaborative response beyond human capabilities.

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Incident Response and Crisis Management

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Incident response is the structured way in which organisations deal with responding to detecting, segregating, and recovering from security incidents. Crisis management takes this even further, dealing not only with the technical fallout of a breach but also its business, reputation, and regulatory implications. Echelon used to depend on manual teams of people sorting through logs, cross-correlating alarms, and generating responses, a paradigm effective for small numbers but quickly inadequate in today's threat climate. Today's opponents attack at machine speed, employing automation to launch attacks. Under such circumstances, responding with slow, manual methods means delay and draconian consequences. The AI and automation introduction is a paradigm change that allows organisations to equate the pace and precision with which attackers initiate attacks in responding to incidents.

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How Automation Reinvents Response

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Cybercrime automation liberates cybercrime analysts from boring and repetitive tasks that consume time. An analyst manually detects potential threats from a list of hundreds each day, while automated systems sift through noise and focus only on genuine threats. Malware can automatically cause infected computers to be disconnected from the network to avoid spreading or may automatically have its suspicious account permissions removed without human intervention. The security orchestration systems move further by introducing playbooks, predefined steps describing how incidents of a certain type (e.g., phishing attempts or malware infections) should be handled. This ensures fast containment while ensuring consistency and minimising human error amid the urgency of dealing with thousands of alerts.

Automation takes care of threat detection, prioritisation, and containment, allowing human analysts to refocus on more complex decision-making. Instead of drowning in the sea of trivial alerts, security teams can now devote their efforts to more strategic areas: threat hunting and longer-term resilience. Automation is a strong tool of defence, cutting response times down from hours to minutes.

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The Intelligence Layer: AI in Action

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If automation provides speed, then AI is what allows the brain to be intelligent and flexible. Working with old and fixed-rule systems, AI-enabled solutions learn from experiences, adapt to changes in threats, and discover hidden patterns of which human analysts themselves would be unaware. For instance, machine learning algorithms identify normal behaviour on a corporate network and raise alerts on any anomalies that could indicate an insider attack or an advanced persistent threat. Similarly, AI systems sift through global threat intelligence to predict likely attack vectors so organisations can have their vulnerabilities fixed before they are exploited.

AI also boosts forensic analysis. Instead of searching forever for clues, analysts let AI-driven systems trace back to the origin of an event, identify vulnerabilities exploited by attackers, and flag systems that are still under attack. During a crisis, AI is a decision support that predicts outcomes of different scenarios and recommends the best response. In response to a ransomware attack, for example, based on context, AI might advise separating a single network segment or restoring from backup or alerting law enforcement. 

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Real-World Applications and Case Studies

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Already, this mitigation has been provided in the form of real-world applications of automation and AI. Consider, for example, IBM Watson for Cybersecurity, which has been applied in analysing unstructured threat intelligence and providing analysts with actionable results in minutes, rather than days. Like this, systems driven by AI in DARPA's Cyber Grand Challenge demonstrated the ability to automatically identify an instant vulnerability, patch it, and reveal the potential of a self-healing system. AI-powered fraud detection systems stop suspicious transactions in the middle of their execution and work all night to prevent losses. What is common in all these examples is that automation and AI lessen human effort, increase accuracy, and in the event of a cyberattack, buy precious time.

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Challenges and Limitations

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While promising, the technology is still not fully mature. The quality of an AI system is highly dependent on the training data provided; poor training can generate false positives that drown teams or worse false negatives that allow attackers to proceed unabated. Attackers have also started targeting AI itself by poisoning datasets or designing malware that does not get detected. Aside from risks that are more technical, the operational and financial costs involved in implementing advanced AI-based systems present expensive threats to any company. Organisations will have to make expenditures not only on technology but also for the training of staff to best utilise these tools. There are some ethical and privacy issues to consider as well because systems may be processing sensitive personal data, so global data protection laws such as the GDPR or India's DPDP Act could come into conflict.

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Creating a Human-AI Collaboration

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The future is not going to be one of substitution by machines but of creating human-AI synergy. Automation can do the drudgery, AI can provide smarts, and human professionals can use judgment, imagination, and ethical decisions. One would want to build AI-fuelled Security Operations Centres where technology and human experts work in tandem. Continuous training must be provided to AI models to reduce false alarms and make them most resistant against adversarial attacks. Regular conduct of crisis drills that combine AI tools and human teams can ensure preparedness for real-time events. Likewise, it is worth integrating ethical AI guidelines into security frameworks to ensure a stronger defence while respecting privacy and regulatory compliance.

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Conclusion

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Cyber-attacks are an eventuality in this modern time, but the actual impact need not be so harsh. The organisations can maintain the programmatic method of integrating automation and AI into incident response and crisis management so that the response against the very threat can be shifted from reactive firefighting to proactive resilience. Automation gives speed and efficiency while AI gives intelligence and foresight, hence putting the defenders on par and possibly exceeding the speed and sophistication of the attackers. But an utmost system without human inquisitiveness, ethical reasoning, and strategic foresight would remain imperfect. The best defence is in that human-machine relationship symbiotic system wherein automation and AI take care of how fast and how many cyber threats come in, whereas human intellect ensures that every response is aligned with larger organizational goals. This synergy is where cybersecurity resiliency will reside in the future-the defenders won't just be reacting to emergencies but will rather be driving the way.

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References

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• https://www.sisainfosec.com/blogs/incident-response-automation/
• https://stratpilot.ai/role-of-ai-in-crisis-management-and-its-critical-importance/
• https://www.juvare.com/integrating-artificial-intelligence-into-crisis-management/
• https://www.motadata.com/blog/role-of-automation-in-incident-management/

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