#FactCheck - Viral Video of US President Biden Dozing Off during Television Interview is Digitally Manipulated and Inauthentic

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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Introduction
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India is reaching a turning point in its technological development when the AI Impact Summit 2026 is held in New Delhi. Artificial Intelligence (AI)is transforming economies, labour markets, governance structures and even the grammar of public discourse. It is no longer a frontier of speculation. The challenge facing the Summit is not whether AI will change our societies, it has already done so but rather whether inclusiveness and human dignity will serve as the foundation for this change. 

India’s AI journey is defined by scale. The nation has one of the biggest user bases for cutting edge AI systems worldwide. According to projections, AI may create millions of new technology-driven occupations by 2030 and change the nature of millions more. This is a structural reconfiguration rather than an incremental alteration. The stakes are high for a country with a large youth population and diverse socioeconomic diversity. 

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India’s Tryst with Artificial Intelligence
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India’s tryst with AI is a developmental imperative occurring at a civilisational scale not a show put on for a western favour. AI is still portrayed in many international storylines as a competition between China’s state backed rapidity, Europe’s sophisticated regulations and Silicon Valley’s capital. India is far too frequently a huge consumer market rather than a significant force behind the AI era.  Such evaluations undervalue a nation that has already proven its capacity to implement technology at a democratic scale through its digital public infrastructure. AI in India is about more than just improving algorithms, it’s about giving millions more people access to social safety, healthcare, agriculture and education.

The scepticism overlooks a deeper truth, India innovates not from abundance but from urgency. India remains certain that technical advancement must be in line with social justice and inclusive growth. The recollections from history suggest that India’s greatest technological strides have often followed underestimation. 

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A Conclave of Contagious Ideas

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India has long been the favourite underestimation of certain western observers, a nation of 1.4 billion people, the world’s fifth largest economy, a noisy democracy with inconvenient geopolitical realities, often assessed by counterparts governing populations smaller than many of its states. Advice follows in spades, sometimes from cities that mastered the art of strategic improvisation long before they preached restraint and sometimes with lectures on innovation, governance and order. 

However, there are times when hierarchies need to be rearranged. It was hard to overlook the symbolism when Ranvir Sachdeva, the youngest keynote speaker at the AI Impact Summit, 2026, took the stage, “I’m here as the youngest keynote speaker at the Indian AI Impact Summit,” he said, discussing how he’s connecting ancient Indian beliefs to contemporary technology and the various strategies that other countries are doing to develop AI. In that simple articulation lay a quiet rebuttal, a civilization that once debated metaphysics under banyan trees is now debating ethics in plenary halls. History constantly demonstrates that India’s permanent address has never been underestimation. 

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From New Delhi to Geneva: The Global Arc of AI Governance
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Now that the AI Impact Summit, 2026 is coming to an end, what’s left is not just the recollection of its size but also the form of new international dialogue. The New Delhi Declaration, a remarkable highlight of the Summit, was signed by eighty-eight nations and international organisations to support the democratic spread of AI. 

The increasing complexity of the AI order was also made clear by the Summit. Pledges for investments totalled hundred of billions. The U.S. led Pax Silica effort was joined by India. SovereignLLMs in the country were introduced. At the same time, spectators were reminded that the politics of AI are inextricably linked to its promise via logistical challenges, protest disruptions and business rivalries. Although nations are not bound by the New Delhi Declaration it does represent a growing consensus that acceleration must be accompanied by governance. 

The revelation that the 2027 AI Impact Summit will be in Geneva represents a significant shift in this regard. Guy Parmelin, the president of Switzerland, described the upcoming chapter as one that is primarily concerned with international law and good governance in an attempt to guarantee that the future of AI is not entirely in the hands of powerful nations. From scale and ambition in New Delhi to normative consolidation in Europe, Geneva, longtime hotbed of multilateral diplomacy, provides symbolic continuity. 

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Concluding Confluence
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It is tempting to view the Global CyberPeace Summit (GCS), a Pre-Summit Event of AI Impact Summit held in close succession at Bharat Mandapam on 10th February, 2026. They formed a strong intellectual arc. At GCS, inclusion was not ornamental. A deeper message was conveyed by India Signing Hands’ involvement and purposeful emphasis on accessibility, digital systems must be created with, not just for, those on margins. Resilience must start at the economic level, according to the AI-enabled cybersecurity engagement for MSMEs. Participants were reminded during the talks on Technology Facilitated Gender-Based Violence (TFGBV), CSAM prevention and child safety that technological arguments only gain significance when they are connected to real-world outcomes.

When Geneva takes over in 2027, the issue  will not just be how AI should be regulated, but also what ethical foundation that governance is built upon. New Delhi’s belief that wisdom and power must coexist may be its contribution to this developing narrative. That persistence has content than spectacle, as well as possibly the faint form of technical conscience. 

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Executive Summary 
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A video circulating on social media falsely claims to show West Bengal leader Suvendu Adhikari making inflammatory and communal remarks. In the viral clip, he is allegedly heard saying that if elected, his party would “work only for Hindus” and “eliminate the 27% Muslim population in West Bengal,” while also claiming that the BJP would remain in power for over 100 years. CyberPeace Research Wing  research found that the viral video, which allegedly shows West Bengal leader Suvendu Adhikari making a statement about eliminating the Muslim population in West Bengal to ensure long-term BJP rule, is AI-generated and not real.

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Claim

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An X user (@Naira_Seth1) shared the clip alleging it reflects “majoritarian extremism disguised as politics,” suggesting that Suvendu Adhikari made communally charged and unconstitutional statements.

• https://x.com/Naira_Seth1/status/2052359074449088837?s=20

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Fact Check

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A detailed analysis of the video shows clear signs of manipulation. The person appearing in the latter part of the clip does not match Suvendu Adhikari.

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Additionally, the video was tested using an AI detection tool (Hive Moderation), which indicated a 98.8% probability of AI-generated content, particularly around the 0:25 timestamp.

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Further verification through reverse image search of key frames led to an original press byte of Suvendu Adhikari posted by PTI News on May 6. In that authentic video, he is seen speaking about taking strict legal action against criminals, with no mention of any religious community or communal statements.

https://x.com/PTI_News/status/2052020784152068114?s=20

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Conclusion

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The viral video allegedly showing Suvendu Adhikari making communal remarks is AI-generated and misleading. The original footage confirms that no such statements were made, and the clip has been digitally manipulated to spread misinformation.

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