#FactCheck -AI-Manipulated Clip Misrepresents PM Modi’s Remarks on Iran-Israel Conflict
Executive Summary
Amid the ongoing conflict between the US-Israel and Iran, a video of Indian Prime Minister Narendra Modi is being widely circulated on social media. In the clip, he is allegedly heard supporting Israel and calling Iran a “terrorist state.” The video also appears to show him speaking about the idea of “Akhand Bharat.” Many users are sharing this video as genuine. However, a detailed research by the CyberPeacefound that the claim is false. The viral video is a deepfake created using AI technology.
Claim:
A Facebook page named “Pushpendra Kulshreshtha” shared the video on March 23, 2026, with a caption suggesting that PM Modi made strong remarks in support of Israel and against Iran.
Fact Check:
To verify the claim, we first conducted a keyword search to find any credible reports or official statements where PM Modi made such remarks. However, no reliable news reports or authentic videos supporting the claim were found. We then extracted keyframes from the viral video and performed a reverse image search using Google Lens. This led us to the original video posted on the X (formerly Twitter) handle of ANI on March 12, 2026.
The visuals, including PM Modi’s attire and the stage setup, matched the viral clip—indicating that the fake video was created using this original footage. However, in the authentic video, PM Modi did not make any statements about Iran, Israel, or “Akhand Bharat” as seen in the viral version. In the original footage, PM Modi is seen addressing the NXT Summit in Delhi, where he spoke about the global energy crisis arising from ongoing conflicts and highlighted the expansion of LPG and PNG facilities in India. Additionally, a customised keyword search led us to a press release issued by the Prime Minister's Office regarding his address at the summit. The statement heard in the viral clip was not found there either.
Conclusion:
The viral video of PM Modi is a deepfake. He did not make any statement calling Iran a “terrorist state” or expressing support for Israel in the manner shown. The original video is from a summit held in Delhi and has been manipulated using AI to spread misleading claims.
Related Blogs
AI and other technologies are advancing rapidly. This has ensured the rapid spread of information, and even misinformation. LLMs have their advantages, but they also come with drawbacks, such as confident but inaccurate responses due to limitations in their training data. The evidence-driven retrieval systems aim to address this issue by using and incorporating factual information during response generation to prevent hallucination and retrieve accurate responses.
What is Retrieval-Augmented Response Generation?
Evidence-driven Retrieval Augmented Generation (or RAG) is an AI framework that improves the accuracy and reliability of large language models (LLMs) by grounding them in external knowledge bases. RAG systems combine the generative power of LLMs with a dynamic information retrieval mechanism. The standard AI models rely solely on pre-trained knowledge and pattern recognition to generate text. RAG pulls in credible, up-to-date information from various sources during the response generation process. RAG integrates real-time evidence retrieval with AI-based responses, combining large-scale data with reliable sources to combat misinformation. It follows the pattern of:
- Query Identification: When misinformation is detected or a query is raised.
- Evidence Retrieval: The AI searches databases for relevant, credible evidence to support or refute the claim.
- Response Generation: Using the evidence, the system generates a fact-based response that addresses the claim.
How is Evidence-Driven RAG the key to Fighting Misinformation?
- RAG systems can integrate the latest data, providing information on recent scientific discoveries.
- The retrieval mechanism allows RAG systems to pull specific, relevant information for each query, tailoring the response to a particular user’s needs.
- RAG systems can provide sources for their information, enhancing accountability and allowing users to verify claims.
- Especially for those requiring specific or specialised knowledge, RAG systems can excel where traditional models might struggle.
- By accessing a diverse range of up-to-date sources, RAG systems may offer more balanced viewpoints, unlike traditional LLMs.
Policy Implications and the Role of Regulation
With its potential to enhance content accuracy, RAG also intersects with important regulatory considerations. India has one of the largest internet user bases globally, and the challenges of managing misinformation are particularly pronounced.
- Indian regulators, such as MeitY, play a key role in guiding technology regulation. Similar to the EU's Digital Services Act, the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, mandate platforms to publish compliance reports detailing actions against misinformation. Integrating RAG systems can help ensure accurate, legally accountable content moderation.
- Collaboration among companies, policymakers, and academia is crucial for RAG adaptation, addressing local languages and cultural nuances while safeguarding free expression.
- Ethical considerations are vital to prevent social unrest, requiring transparency in RAG operations, including evidence retrieval and content classification. This balance can create a safer online environment while curbing misinformation.
Challenges and Limitations of RAG
While RAG holds significant promise, it has its challenges and limitations.
- Ensuring that RAG systems retrieve evidence only from trusted and credible sources is a key challenge.
- For RAG to be effective, users must trust the system. Sceptics of content moderation may show resistance to accepting the system’s responses.
- Generating a response too quickly may compromise the quality of the evidence while taking too long can allow misinformation to spread unchecked.
Conclusion
Evidence-driven retrieval systems, such as Retrieval-Augmented Generation, represent a pivotal advancement in the ongoing battle against misinformation. By integrating real-time data and credible sources into AI-generated responses, RAG enhances the reliability and transparency of online content moderation. It addresses the limitations of traditional AI models and aligns with regulatory frameworks aimed at maintaining digital accountability, as seen in India and globally. However, the successful deployment of RAG requires overcoming challenges related to source credibility, user trust, and response efficiency. Collaboration between technology providers, policymakers, and academic experts can foster the navigation of these to create a safer and more accurate online environment. As digital landscapes evolve, RAG systems offer a promising path forward, ensuring that technological progress is matched by a commitment to truth and informed discourse.
References
- https://experts.illinois.edu/en/publications/evidence-driven-retrieval-augmented-response-generation-for-onlin
- https://research.ibm.com/blog/retrieval-augmented-generation-RAG
- https://medium.com/@mpuig/rag-systems-vs-traditional-language-models-a-new-era-of-ai-powered-information-retrieval-887ec31c15a0
- https://www.researchgate.net/publication/383701402_Web_Retrieval_Agents_for_Evidence-Based_Misinformation_Detection
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Introduction
Empowering today’s youth with the right skills is more crucial than ever in a rapidly evolving digital world. Every year on July 15th, the United Nations marks World Youth Skills Day to emphasise the critical role of skills development in preparing young people for meaningful work and resilient futures. As AI transforms industries and societies, equipping young minds with digital and AI skills is key to fostering security, adaptability, and growth in the years ahead.
Why AI Upskilling is Crucial in Modern Cyber Defence
Security in the digital age remains a complex challenge, regardless of the presence of Artificial Intelligence (AI). It is one of the biggest modern ironies, and not only that, it is a paradox wrapped in code, where the cure and the curse are written in the same language. The very hand that protects the world from cyber threats can very well be used for the creation of that threat. This being said, the modern-day implementation of AI has to circumvent the threats posed by it or any other advanced technology. A solid grasp of AI and machine learning mechanisms is no longer optional; it is fundamental for modern cybersecurity. The traditional cybersecurity training programs employ static content, which can often become outdated and inadequate for the vulnerabilities. AI-powered solutions, such as intrusion detection systems and next-generation firewalls, use behavioural analysis instead of just matching signatures. AI models are susceptible, nevertheless, as malevolent actors can introduce hostile inputs or tainted data to trick computers into incorrect classification. Data poisoning is a major threat to AI defences, according to Cisco's evidence.
As threats surpass the current understanding of cybersecurity professionals, a need arises to upskill them in advanced AI technologies so that they can fortify the security of current systems. Two of the most important skills for professionals would be AI/ML Model Auditing and Data Science. Skilled data scientists can sift through vast logs, from pocket captures to user profiles, to detect anomalies, assess vulnerabilities, and anticipate attacks. A news report from Business Insider puts it correctly: ‘It takes a good-guy AI to fight a bad-guy AI.’ The technology of generative AI is quite new. As a result, it poses fresh security issues and faces security risks like data exfiltration and prompt injections.
Another method that can prove effective is Natural Language Processing (NLP), which helps machines process this unstructured data, enabling automated spam detection, sentiment analysis, and threat context extraction. Security teams skilled in NLP can deploy systems that flag suspicious email patterns, detect malicious content in code reviews, and monitor internal networks for insider threats, all at speeds and scales humans cannot match.
The AI skills, as aforementioned, are not only for courtesy’s sake; they have become essential in the current landscape. India is not far behind in this mission; it is committed, along with its western counterparts, to employ the emerging technologies in its larger goal of advancement. With quiet confidence, India takes pride in its remarkable capacity to nurture exceptional talent in science and technology, with Indian minds making significant contributions across global arenas.
AI Upskilling in India
As per a news report of March 2025, Jayant Chaudhary, Minister of State, Ministry of Skill Development & Entrepreneurship, highlighted that various schemes under the Skill India Programme (SIP) guarantee greater integration of emerging technologies, such as artificial intelligence (AI), cybersecurity, blockchain, and cloud computing, to meet industry demands. The SIP’s parliamentary brochure states that more than 6.15 million recipients have received training as of December 2024. Other schemes that facilitate educating and training professionals, such as Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer are,
- Pradhan Mantri Kaushal Vikas Yojana 4.0 (PMKVY 4.0)
- Pradhan Mantri National Apprenticeship Promotion Scheme (PM-NAPS)
- Jan Shikshan Sansthan (JSS)
Another report showcases how Indian companies, or companies with their offices in India such as Ernst & Young (EY), are recognising the potential of the Indian workforce and yet their deficiencies in emerging technologies and leading the way by internal upskilling and establishing an AI Academy, a new program designed to assist businesses in providing their employees with essential AI capabilities, in response to the increasing need for AI expertise. Using more than 200 real-world AI use cases, the program offers interactive, organised learning opportunities that cover everything from basic ideas to sophisticated generative AI capabilities.
In order to better understand the need for these initiatives, a reference is significant to a report backed by Google.org and the Asian Development Bank; India appears to be at a turning point in the global use of AI. As per the research, “AI for All: Building an AI-Ready Workforce in Asia-Pacific,” India urgently needs to provide accessible and efficient AI upskilling despite having the largest workforce in the world. According to the paper, by 2030, AI could boost the Asia-Pacific region’s GDP by up to USD 3 trillion. The key to this potential is India, a country with the youngest and fastest-growing population.
Conclusion and CyberPeace Resolution
As the world stands at the crossroads of innovation and insecurity, India finds itself uniquely poised, with its vast young population and growing technologies. But to truly safeguard its digital future and harness the promise of AI, the country must think beyond flagship schemes. Imagine classrooms where students learn not just to code but to question algorithms, workplaces where AI training is as routine as onboarding.
India’s journey towards digital resilience is not just about mastering technology but about cultivating curiosity, responsibility, and trust. CyberPeace is committed to this future and is resolute in this collective pursuit of an ethically secure digital world. CyberPeace resolves to be an active catalyst in AI upskilling across India. We commit to launching specialised training modules on AI, cybersecurity, and digital ethics tailored for students and professionals. It seeks to close the AI literacy gap and develop a workforce that is both morally aware and technologically proficient by working with educational institutions, skilling initiatives, and industry stakeholders.
References
- https://www.helpnetsecurity.com/2025/03/07/ai-gamified-simulations-cybersecurity/
- https://www.businessinsider.com/artificial-intelligence-cybersecurity-large-language-model-threats-solutions-2025-5?utm
- https://apacnewsnetwork.com/2025/03/ai-5g-skills-boost-skill-india-targets-industry-demands-over-6-15-million-beneficiaries-trained-till-2024/
- https://indianexpress.com/article/technology/artificial-intelligence/india-must-upskill-fast-to-keep-up-with-ai-jobs-says-new-report-10107821/
Executive Summary
A video featuring Uttar Pradesh Chief Minister Yogi Adityanath is being widely shared on social media. In the video, Adityanath can be heard saying, “Let me become the Prime Minister, and Pakistan-occupied Kashmir will also become a part of India.” The video also carries an on-screen text that reads “Next PM 2029.” By sharing this clip, social media users are claiming that Yogi Adityanath is set to become India’s Prime Minister in 2029.
However, CyberPeace research found the viral claim to be misleading. Our research revealed that the video circulating online has been edited and is being shared out of context. The original video dates back to May 2024. In the original footage, Yogi Adityanath is not speaking about himself. Instead, he is referring to Prime Minister Narendra Modi.
In the original statement, Adityanath says:
“Let Modi ji become Prime Minister for the third time, and within the next six months, Pakistan-occupied Kashmir will also become a part of India.”
It is evident that the video has been trimmed and misleading text has been added to falsely portray the statement as a declaration about Yogi Adityanath becoming Prime Minister in 2029.
Claim
A YouTube user shared the viral video on January 29, 2026, claiming that Yogi Adityanath said, “Let me become Prime Minister, and Pakistan-occupied Kashmir will be part of India.” The video carries the caption “Next PM 2029,” suggesting that Adityanath is set to become the Prime Minister in 2029.
Link to the post n archive
Fact Check:
To verify the viral claim, we first conducted a keyword search on Google. During this process, we found a report published by Aaj Tak on May 18, 2024. According to the report, Yogi Adityanath stated that if Narendra Modi becomes Prime Minister for the third time, Pakistan-occupied Kashmir would become part of India within six months.
Report link:
Next, we extracted keyframes from the viral video and ran them through Google Lens. This led us to the official YouTube channel of Yogi Adityanath, where the same video was uploaded on May 18, 2024.
Original video link:
In the original video, Yogi Adityanath clearly makes the statement in reference to Prime Minister Narendra Modi, not himself.Finally, we compared the viral clip with the original footage. The visuals in both videos are identical; however, the viral version has been edited and overlaid with misleading text to change the meaning of the statement.
Conclusion
Our research confirms that the viral video is edited and misleading. The original video is from May 2024, in which Yogi Adityanath was speaking about Prime Minister Narendra Modi, not about himself becoming Prime Minister in 2029. The video has been falsely altered and shared with a deceptive claim on social media.
