#FactCheck - Bangladeshi Migrant’s Arrest Misrepresented as Indian in Viral Video!

Executive Summary:

A viral video of the Argentina football team dancing in the dressing room to a Bhojpuri song is being circulated in social media. After analyzing the originality, CyberPeace Research Team discovered that this video was altered and the music was edited. The original footage was posted by former Argentine footballer Sergio Leonel Aguero in his official Instagram page on 19th December 2022. Lionel Messi and his teammates were shown celebrating their win at the 2022 FIFA World Cup. Contrary to viral video, the song in this real-life video is not from Bhojpuri language. The viral video is cropped from a part of Aguero’s upload and the audio of the clip has been changed to incorporate the Bhojpuri song. Therefore, it is concluded that the Argentinian team dancing to Bhojpuri song is misleading.

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Claims:

A video of the Argentina football team dancing to a Bhojpuri song after victory.

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Fact Check:

On receiving these posts, we split the video into frames, performed the reverse image search on one of these frames and found a video uploaded to the SKY SPORTS website on 19 December 2022.

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We found that this is the same clip as in the viral video but the celebration differs. Upon further analysis, We also found a live video uploaded by Argentinian footballer Sergio Leonel Aguero on his Instagram account on 19th December 2022. The viral video was a clip from his live video and the song or music that’s playing is not a Bhojpuri song. 

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Thus this proves that the news that circulates in the social media in regards to the viral video of Argentina football team dancing Bhojpuri is false and misleading. People should always ensure to check its authenticity before sharing.

Conclusion:

In conclusion, the video that appears to show Argentina’s football team dancing to a Bhojpuri song is fake. It is a manipulated version of an original clip celebrating their 2022 FIFA World Cup victory, with the song altered to include a Bhojpuri song. This confirms that the claim circulating on social media is false and misleading.

• Claim: A viral video of the Argentina football team dancing to a Bhojpuri song after victory.
• Claimed on: Instagram, YouTube
• Fact Check: Fake & Misleading

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Introduction

Google is committed to supporting the upcoming elections in India by providing high-quality information to voters, safeguarding platforms from abuse, and helping people navigate AI-generated content. Google will connect voters to helpful information through enhanced features, collaborating with the Election Commission of India (ECI) to provide voting information in both English and Hindi. Emphasis is also placed on showcasing authoritative information on YouTube. YouTube will highlight authoritative news sources and offer context on topics prone to misinformation. YouTube also appends information panels directing viewers to the Election Commission of India's FAQs. This support will help millions of eligible voters navigate the electoral process and ensure a fair and transparent election process.

Key Highlights of Google’s Approach

The step taken by Google will support the democratic process during the upcoming General Election in India. The initiative focuses on three main pillars: disseminating information, tackling misinformation, and navigating AI-generated content.  Google is enhancing its Search and YouTube features to provide essential election-related information, including voter registration, polling guidelines, and candidate profiles. Google is also addressing the challenges posed by AI-generated content by offering clarity on content origins, particularly for election-related ads and YouTube videos. Google has strict policies and restrictions regarding who can run election-related advertising on its platforms, including identity verification, pre-certificates, and in-ad disclosures. Additionally, Google is utilising tools and policies like Ads disclosures, content labels on YouTube, and digital watermarking to help users to identify AI-generated content.

Google has joined hands with ECI

The tech giant Google is partnering with the Election Commission of India (ECI) to provide voting information on Google Search in both English and Hindi. YouTube will feature election information panels, including candidate profiles and registration guidelines, ensuring users have access to authoritative sources. Google's recommendation system will display content from trusted publishers on election-related topics. Protecting the integrity of elections is a top priority, and the company is employing advanced AI models and machine learning techniques to identify and remove content that violates its policies at scale. A dedicated team of local experts across major Indian languages is assigned to provide relevant context and ensure swift action against emerging threats. Google is also tightening up who can advertise on its platforms, requiring advertisers to undergo an identity verification process and obtain a pre-certificate from the ECI or authorised entities for each election ad they wish to run.

Tackling Electoral Misinformation

Google is enhancing its platform security measures to prevent misinformation. It is using AI models and human expertise to identify and address policy violations, while stringent verification processes and disclosures are being implemented to maintain user trust.

Collaborations to promote reliable information

Google is supporting the Shakti, India Election Fact-Checking Collective, a consortium of news publishers and fact checkers to detect online misinformation, including deepfakes. The project will provide news entities and fact checkers with essential training in fact-checking methodologies, deepfake detection, and the latest Google tools to streamline verification processes, as stated in Google’s blog post.

Conclusion

Google has taken proactive steps to ensure a secure electoral process during the upcoming general elections in India. These include preventing the misuse of false information by helping voters navigate AI-generated content and safeguarding its platforms from abuse. Google India has built faster and more adaptable enforcement systems with recent advances in its Large Language Models (LLMs), enabling the company to remain nimble and take action quickly when new threats emerge. Google is dedicated to collaborating with government, industry, and civil society to provide voters with reliable and trustworthy online information. Google is implementing a comprehensive strategy to empower voters, safeguard its platforms, and combat misinformation in India's upcoming general elections. Google’s step is commendable and aims to ensure a secure electoral process, empowering millions of citizens to exercise their democratic rights.

References:

• https://blog.google/intl/en-in/company-news/outreach-initiatives/supporting-the-2024-indian-general-election/
• https://inc42.com/buzz/following-gemini-row-google-strengthens-checks-on-ai-generated-content-before-elections/#:~:text=In%20an%20effort%20to%20ensure,safeguarding%20its%20platforms%20from%20abuse
• https://www.indiatvnews.com/technology/news/google-introduces-enhanced-tools-for-supporting-elections-in-india-2024-03-12-921096
• https://economictimes.indiatimes.com/news/elections/lok-sabha/india/google-ties-up-with-eci-to-prevent-spread-of-false-information/articleshow/108431021.cms?from=mdr
• https://www.businesstoday.in/technology/news/story/google-joins-hands-with-election-commission-of-india-to-help-voters-via-search-youtube-421112-2024-03-12
• https://indianexpress.com/article/technology/tech-news-technology/google-2024-general-elections-support-9209588/

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Introduction
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How Generative Artificial Intelligence, or GenAI, is changing the employee workday is no longer limited to writing emails or debugging code, but now also includes analysing contracts, generating reports, and much more. The use of AI tools in everyday work has become commonplace, but the speed at which companies have adopted these technologies has created a new kind of risk. Unlike threats that come from an outside attacker, Shadow AI is created inside an organisation by a legitimate employee who uses unapproved AI tools to make their work more efficient and productive. In many cases, the employee is unaware of the potential security, data privacy, and compliance risks involved in using such tools to perform their job duties.
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What Is Shadow AI?

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Shadow AI is when individuals use AI tools at work that aren’t provided by the company, like tools or other software programs, without the knowledge or permission of the employer. Examples of shadow AI include:

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1. Using personal ChatGPT or other chatbot accounts to complete tasks at the office
2. Uploading business-related documents to online AI technologies for analysis or summarisation.
3. Copying proprietary source code into an online AI model for debugging
4. Installing browser extensions and add-ons that are not approved by IT or Security personnel.

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How Shadow AI Is Harmful

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1. Uncontrolled Data Exposure

When employees access or input information into their user-created AI, it becomes outside the controls of the company, such as both employee personal information and any third-party personal information, private company information (such as source code or contracts), and company internal strategies. After a user enters data into their user-created AIs, the company loses all ability to monitor how that data is stored, processed, or maintained. A data leak situation exists without a malicious cyberattack. The biggest risk of a data leak is not maliciousness but rather the loss of control and governance over sensitive data.

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2. Regulatory and Legal Non-Compliance

Data protection laws like GDPR, India’s Digital Personal Data Protection (DPDP) Act, HIPAA, and other relevant sectoral laws require businesses to process data in accordance with the law, to minimise the amount of data they use, and to be accountable for their actions. Shadow AI often results in the unlawful use of personal data due to a lack of a legal basis for the processing, unauthorised cross-border data transfers, and not having appropriate contractual protections in place with their AI service providers. Regulators do not see the convenience of employees as an excuse for not complying with the law, and therefore, the organisation is ultimately responsible for any violations that occur.

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3. Loss of Intellectual Property

Employees frequently use AI tools to speed up tasks involving proprietary information—debugging code, reviewing contracts, or summarising internal research. When done using unapproved AI platforms, this can expose trade secrets and intellectual property, eroding competitive advantage and creating long-term business risk.

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Real-Life Example: Samsung’s ChatGPT Data Leak

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In 2023, a case study exemplifying the Shadow AI risk occurred when Samsung Electronics placed a temporary ban on employee access to ChatGPT and other AI tools after reports from engineers revealed they were using ChatGPT to create debugging processes for internal source code and to summarise meeting notes. Consequently, confidential source code related to semiconductors was inadvertently uploaded onto a public AI platform. While there were no known incursions into the company’s system due to this incident, Samsung faced a significant challenge: once sensitive information is input into a public AI tool, it exists on external servers that are outside of the company’s purview or control.

As a result of this incident, Samsung restricted employee use of ChatGPT on corporate devices, issued a series of internal communications prohibiting the sharing of corporate data with public AI tools, and increased the urgency of their discussions regarding the adoption of secure, enterprise-level AI (artificial intelligence) solutions.

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What Organisations Are Doing Today

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Many organisations respond to Shadow AI risk by:

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1. Blocking access at the network level
2. Circulating warning emails or policies

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While these actions may reduce immediate exposure, they fail to address the root cause: employees still need AI to perform their jobs efficiently. As a result, bans often push AI usage underground, increasing Shadow AI rather than eliminating it.

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Why Blocking AI Does Not Work—Governance Does

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History has demonstrated that prohibition does not work - we see this when trying to block access to cloud storage, instant messaging and collaboration tools. Employees are forced to use personal devices and/or accounts when their employers block AI, which means employers do not have real-time visibility into how their employees are using these technologies, and creates friction with the security and compliance team as they try to enforce the types of tools their employees can use. Prohibiting AI adoption will not stop it from being adopted; it will just create a challenge for employers regarding how safe and responsible it is. The challenge for effective organisations is therefore to shift from denial and develop governance-first AI strategies aimed at controlling data usage, protection and security, rather than merely restricting access to a list of specific tools.

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Shadow AI: A Silent Legal Liability Under the GDPR

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Shadow AI isn't a problem for the Information Technology Department; it is a failure of Governance, Compliance and Law. By using AI tools that have not been approved as a result, the organisation processes personal data without a lawful basis (Article 6 of the General Data Protection Regulation (GDPR)), repurposes data for use beyond its original intent and in breach of the Purpose Limitation (Article 5(1)(b)), and routinely exceeds necessity and in breach of Data Minimisation (Article 5(1)(c)). The outcome of these actions is the use of tools that involve International Data Transfers Without Authorisation and are therefore in breach of Chapter V, and violate Article 32 because there are no enforceable safeguards in place. Most significantly, the failure to demonstrate Oversight, Logging and Control under Articles 5(2) and 24 constitutes a failure in Accountability. Therefore, from a Regulatory perspective, Shadow AI is not accidental and is not defensible.

The Right Solution: Secure and Governed AI Adoption

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1. Provide Approved AI Tools

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Employers have an obligation to supply business-approved AI technology for helping workers to be productive while maintaining maximum protections, like storing data separately and not using employees' data for training a model; defining how long data is kept, and the rules around deleting that data. When employees are provided with verified and secure AI options that align with their work processes, they will rely significantly less on Shadow AI.

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2. Enforce Zero-Trust Data Access

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The governance of AI systems must follow the principles of "zero trust," granting access to data only through the principle of "least privilege," which means that data access will only be allowed by the system user, and providing continuous verification of user-identity and context; this supports and helps establish context-aware controls to monitor and track all user activities, which will be especially important as agent-like AI systems become increasingly autonomous and are capable of operating at machine-speed where even small errors in configuration, will result in rapid and large expose to data.

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3. Apply DLP and Audit Logging

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It is important to have robust data loss prevention measures in place to protect sensitive data that is sent outside an organisation. The first end user or machine that accesses the data should be detailed in a comprehensive audit log that indicates when and how the data is accessed. In combination with other controls, these measures create accountability, comply with regulations, and assist with appropriately detecting and responding to incidents.

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4. Maintain Visibility Across AI, Cloud, and SaaS

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Security teams need unified visibility across AI tools, personal cloud applications, and SaaS platforms. Risks move across systems, and controls must follow the data wherever it flows.

Conclusion

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This new threat exposes an organisation to the risk of data loss through leaks, regulatory fines, liability for the loss of intellectual property, and reputational damage, all of which can occur without any intent to cause harm. The way forward is not to block AI, but to adopt a clear framework built on governance, visibility, and secure enablement. This approach allows organisations to use AI with confidence, while ensuring trust, accountability, and effective oversight to protect data and support AI in reaching its full transformative potential. AI use is encouraged, but it must be done responsibly, ethically, and securely.

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References 

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1. https://bronson.ai/resources/shadow-ai/
2. https://www.varonis.com/blog/shadow-ai
3. https://www.waymakeros.com/learn/gdpr-hipaa-shadow-ai-compliance-nightmare
4. https://www.forbes.com/sites/siladityaray/2023/05/02/samsung-bans-chatgpt-and-other-chatbots-for-employees-after-sensitive-code-leak/
5. https://www.usatoday.com/story/special/contributor-content/2025/05/23/shadow-ai-the-hidden-risk-in-todays-workplace/83822081007

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