#FactCheck - "Deepfake Video Falsely Claims Justin Trudeau Endorses Investment Project”

Executive Summary:

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A video circulating on social media falsely claims to show Indian Air Chief Marshal AP Singh admitting that India lost six jets and a Heron drone during Operation Sindoor in May 2025. It has been  revealed that the footage had been digitally manipulated by inserting an AI generated voice clone of Air Chief Marshal Singh into his recent speech, which was streamed live on August 9, 2025.

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Claim:

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A viral video  (archived video) (another link) shared by an X user stating in the caption “  Breaking: Finally Indian Airforce Chief admits India did lose 6 Jets and one Heron UAV during May 7th Air engagements.”  which is actually showing the Air Chief Marshal has admitted the aforementioned loss during Operation Sindoor.

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Fact Check:

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By conducting a reverse image search on key frames from the video, we found a clip which was posted by ANI Official X handle , after watching the full clip we didn't find any mention of the aforementioned alleged claim. 

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On further research we found an extended version of the video in the Official YouTube Channel of ANI which was published on 9th August 2025. At the 16th Air Chief Marshal L.M. Katre Memorial Lecture in Marathahalli, Bengaluru, Air Chief Marshal AP Singh did not mention any loss of six jets or a drone in relation to the conflict with Pakistan. The discrepancies observed in the viral clip suggest that portions of the audio may have been digitally manipulated.

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The audio in the viral video, particularly the segment at the 29:05 minute mark alleging the loss of six Indian jets, appeared to be manipulated and displayed noticeable inconsistencies in tone and clarity.

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Conclusion:

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The viral video claiming that Air Chief Marshal AP Singh admitted to the loss of six jets and a Heron UAV during Operation Sindoor is misleading. A reverse image search traced the footage that no such remarks were made. Further an extended version on ANI’s official YouTube channel confirmed that, during the 16th Air Chief Marshal L.M. Katre Memorial Lecture, no reference was made to the alleged losses. Additionally, the viral video’s audio, particularly around the 29:05 mark, showed signs of manipulation with noticeable inconsistencies in tone and clarity.

• Claim: Viral Video Claiming IAF Chief Acknowledged Loss of Jets Found Manipulated
• Claimed On: Social Media
• Fact Check: False and Misleading

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Introduction
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Generative AI, particularly deepfake technology, poses significant risks to security in the financial sector. Deepfake technology can convincingly mimic voices, create lip-sync videos, execute face swaps, and carry out other types of impersonation through tools like DALL-E, Midjourney, Respeecher, Murf, etc, which are now widely accessible and have been misused for fraud. For example, in 2024, cybercriminals in Hong Kong used deepfake technology to impersonate the Chief Financial Officer of a company, defrauding it of $25 million. Surveys, including Regula’s Deepfake Trends 2024 and Sumsub reports, highlight financial services as the most targeted sector for deepfake-induced fraud.

Deepfake Technology and Its Risks to Financial Systems

India’s financial ecosystem, including banks, NBFCs, and fintech companies, is leveraging technology to enhance access to credit for households and MSMEs. The country is a leader in global real-time payments and its digital economy comprises 10% of its GDP.  However, it faces unique cybersecurity challenges. According to the RBI’s 2023-24 Currency and Finance report, banks cite cybersecurity threats, legacy systems, and low customer digital literacy as major hurdles in digital adoption. Deepfake technology intensifies risks like:

• Social Engineering Attacks: Information security breaches through phishing, vishing, etc. become more convincing with deepfake imagery and audio.
• Bypassing Authentication Protocols: Deepfake audio or images may circumvent voice and image-based authentication systems, exposing sensitive data.
• Market Manipulation: Misleading deepfake content making false claims and endorsements can harm investor trust and damage stock market performance.
• Business Email Compromise Scams: Deepfake audio can mimic the voice of a real person with authority in the organization to falsely authorize payments.
• Evolving Deception Techniques: The usage of AI will allow cybercriminals to deploy malware that can adapt in real-time to carry out phishing attacks and inundate targets with increased speed and variations. Legacy security frameworks are not suited to countering automated attacks at such a scale.

Existing Frameworks and Gaps

In 2016, the RBI introduced cybersecurity guidelines for banks, neo-banking, lending, and non-banking financial institutions, focusing on resilience measures like Board-level policies, baseline security standards, data leak prevention, running penetration tests, and mandating Cybersecurity Operations Centres (C-SOCs). It also mandated incident reporting to the RBI for cyber events. Similarly, SEBI’s Cybersecurity and Cyber Resilience Framework (CSCRF) applies to regulated entities (REs) like stock brokers, mutual funds, KYC agencies, etc., requiring policies, risk management frameworks, and third-party assessments of cyber resilience measures. While both frameworks are comprehensive, they require updates addressing emerging threats from generative AI-driven cyber fraud.

Cyberpeace Recommendations 

• AI Cybersecurity to Counter AI Cybercrime: AI-generated attacks can be designed to overwhelm with their speed and scale. Cybercriminals increasingly exploit platforms like LinkedIn, Microsoft Teams, and Messenger, to target people.  More and more organizations of all sizes will have to use AI-based cybersecurity for detection and response since generative AI is becoming increasingly essential in combating hackers and breaches.
• Enhancing Multi-factor Authentication (MFA):  With improving image and voice-generation/manipulation technologies, enhanced authentication measures such as token-based authentication or other hardware-based measures, abnormal behaviour detection, multi-device push notifications, geolocation verifications, etc. can be used to improve prevention strategies.  New targeted technological solutions for content-driven authentication can also be implemented.
• Addressing Third-Party Vulnerabilities: Financial institutions often outsource operations to vendors that may not follow the same cybersecurity protocols, which can introduce vulnerabilities. Ensuring all parties follow standardized protocols can address these gaps.
• Protecting Senior Professionals: Senior-level and high-profile individuals at organizations are at a greater risk of being imitated or impersonated since they hold higher authority over decision-making and have greater access  to sensitive information. Protecting their identity metrics through technological interventions is of utmost importance.
• Advanced Employee Training:  To build organizational resilience, employees must be trained to understand how generative and emerging technologies work. A well-trained workforce can significantly lower the likelihood of successful human-focused human-focused cyberattacks like phishing and impersonation.
• Financial Support to Smaller Institutions: Smaller institutions may not have the resources to invest in robust long-term cybersecurity solutions and upgrades. They require financial and technological support from the government to meet requisite standards.

Conclusion

According to The India Cyber Threat Report 2025 by the Data Security Council of India (DSCI) and Seqrite, deepfake-enabled cyberattacks, especially in the finance and healthcare sectors, are set to increase in 2025. This has the potential to disrupt services, steal sensitive data, and exploit geopolitical tensions, presenting a significant risk to the critical infrastructure of India. 

As the threat landscape changes,  institutions will have to continue to embrace AI and Machine Learning (ML) for threat detection and response. The financial sector must prioritize robust cybersecurity strategies, participate in regulation-framing procedures, adopt AI-based solutions, and enhance workforce training, to safeguard against AI-enabled fraud. Collaborative efforts among policymakers, financial institutions, and technology providers will be essential to strengthen defenses.

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Sources 

• https://sumsub.com/newsroom/deepfake-cases-surge-in-countries-holding-2024-elections-sumsub-research-shows/ 
• https://www.globenewswire.com/news-release/2024/10/31/2972565/0/en/Deepfake-Fraud-Costs-the-Financial-Sector-an-Average-of-600-000-for-Each-Company-Regula-s-Survey-Shows.html 
• https://www.sipa.columbia.edu/sites/default/files/2023-05/For%20Publication_BOfA_PollardCartier.pdf 
• https://edition.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk/index.html 
• https://www.rbi.org.in/Commonman/English/scripts/Notification.aspx?Id=1721 
• https://elplaw.in/leadership/cybersecurity-and-cyber-resilience-framework-for-sebi-regulated-entities/ 
• https://economictimes.indiatimes.com/tech/artificial-intelligence/ai-driven-deepfake-enabled-cyberattacks-to-rise-in-2025-healthcarefinance-sectors-at-risk-report/articleshow/115976846.cms?from=mdr 

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Introduction 

As digital platforms rapidly become repositories of information related to health, YouTube has emerged as a trusted source people look to for answers. To counter rampant health misinformation online, the platform launched YouTube Health, a program aiming to make “high-quality health information available to all” by collaborating with health experts and content creators. While this is an effort in the right direction, the program needs to be tailored to the specificities of the Indian context if it aims to transform healthcare communication in the long run.

The Indian Digital Health Context 

India’s growing internet penetration and lack of accessible healthcare infrastructure, especially in rural areas, facilitates a reliance on digital platforms for health information. However, these, especially social media, are rife with misinformation. Supplemented by varying literacy levels, access disparities, and lack of digital awareness, health misinformation can lead to serious negative health outcomes. The report ‘Health Misinformation Vectors in India’ by DataLEADS suggests a growing reluctance surrounding conventional medicine, with people looking for affordable and accessible natural remedies instead. Social media helps facilitate this shift. However, media-sharing platforms such as WhatsApp, YouTube, and Facebook host a large chunk of health misinformation. The report identifies that cancer, reproductive health, vaccines, and lifestyle diseases are four key areas susceptible to misinformation in India.

YouTube’s Efforts in Promoting Credible Health Content 

YouTube Health aims to provide evidence-based health information with “digestible, compelling, and emotionally supportive health videos,” from leading experts to everyone irrespective of who they are or where they live. So far, it executes this vision through:

• Content Curation: The platform has health source information panels and content shelves highlighting videos regarding 140+ medical conditions from authority sources like All India Institute of Medical Sciences (AIIMS), National Institute of Mental Health and Neurosciences (NIMHANS), Max Healthcare etc., whenever users search for health-related topics.
• Localization Strategies: The platform offers multilingual health content in regional languages such as Hindi, Tamil, Telugu, Marathi, Kannada, Malayalam, Punjabi, and Bengali, apart from English. This is to help health information reach viewers across most of the country. 
• Verification of professionals: Healthcare professionals and organisations can apply to YouTube’s health feature for their videos to be authenticated as an authority health source on the platform and for their videos to show up on the ‘Health Sources’ shelf.

Challenges 

• Limited Reach: India has a diverse linguistic ecosystem. While health information is made available in over 8 languages, the number is not enough to reach everyone in the country. Efforts to reach more people in vernacular languages need to be ramped up. Further, while there were around 50 billion views of health content on YouTube in 2023, it is difficult to measure the on-ground outcomes of those views.
• Lack of Digital Literacy: Misinformation on digital platforms cannot be entirely curtailed owing to the way algorithms are designed to enhance user engagement. However, uploading authoritative health information as a solution may not be enough, if users lack awareness about misinformation and the need to critically evaluate and trust only credible sources. In India, this critical awareness remains largely underdeveloped.

Conclusion 

Considering that India has over 450 million users, by far the highest number of users in any country in the world, the platform has recognized that it can play a transformative role in the country’s digital health ecosystem. To accomplish its mission “to combat the societal threat of medical misinformation,” YouTube will have to continue to take several proactive measures. There is scope for strengthening collaborations with Indian public health agencies and trusted public figures, national and regional,  to provide credible health information to all.  The approach will have to be tailored to India’s vast linguistic diversity, by encouraging capacity-building for vernacular creators to produce credible content. Finally, multiple stakeholders will need to come together to promote digital literacy through education campaigns about identifying trustworthy sources.

Sources 

• https://indianexpress.com/article/technology/tech-news-technology/youtube-health-dr-garth-graham-interview-9746673/ 
• https://economictimes.indiatimes.com/news/india/cancer-misinformation-extremely-prevalent-in-india-trust-in-science-medicine-crucial-report/articleshow/115931783.cms?from=mdr 
• https://health.youtube/our-mission/ 
• https://health.youtube/features-application/ 
• https://backlinko.com/youtube-users