#FactCheck-AI-Generated Video Falsely Shows CRPF Trooper Criticizing PM Modi and BJP Government

Executive Summary:

A recent claim going around on social media that a child created sand sculptures of cricket legend Mahendra Singh Dhoni, has been proven false by the CyberPeace Research Team. The team discovered that the images were actually produced using an AI tool. Evident from the unusual details like extra fingers and unnatural characteristics in the sculptures, the Research Team discerned the likelihood of artificial creation. This suspicion was further substantiated by AI detection tools. This incident underscores the need to fact-check information before posting, as misinformation can quickly go viral on social media. It is advised everyone to carefully assess content to stop the spread of false information.

Claims:

The claim is that the photographs published on social media show sand sculptures of cricketer Mahendra Singh Dhoni made by a child.

Fact Check:

Upon receiving the posts, we carefully examined the images. The collage of 4 pictures has many anomalies which are the clear sign of AI generated images.

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In the first image the left  hand of the sand sculpture has 6 fingers and in the word INDIA, ‘A’ is not properly aligned i.e not in the same line as other letters. In the second image, the finger of the boy is missing and the sand sculpture has 4 fingers in its front foot and has 3 legs. In the third image the slipper of the boy is not visible whereas some part of the slipper is visible, and in the fourth image the hand of the boy is not looking like a hand. These are some of the major discrepancies clearly visible in the images.

We then checked using an AI Image detection tool named ‘Hive’ image detection, Hive detected the image as 100.0% AI generated.

We then checked it in another AI image detection named ContentAtScale AI image detection, and it found to be 98% AI generated.

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From this we concluded that the Image is AI generated and has no connection with the claim made in the viral social media posts. We have also previously debunked AI Generated artwork of sand sculpture of Indian Cricketer Virat Kohli which had the same types of anomalies as those seen in this case.

Conclusion:

Taking into consideration the distortions spotted in the images and the result of AI detection tools, it can be concluded that the claim of the pictures representing the child's sand sculptures of cricketer Mahendra Singh Dhoni is false. The pictures are created with Artificial Intelligence. It is important to check and authenticate the content before posting it to social media websites.

• Claim: The frame of pictures shared on social media contains child's sand sculptures of cricket player Mahendra Singh Dhoni.
• Claimed on: X (formerly known as Twitter), Instagram, Facebook, YouTube
• Fact Check: Fake & Misleading

Data localisation refers to restrictions in the data flow by limiting the physical storage and processing of data within a given jurisdiction’s boundaries.  

An obvious benefit contributing to the importance of data localisation is the privacy benefits it offers. In addition to this, data localisation also has the potential to safeguard sensitive data and decrease the probability of cyber-attacks. In India, data localisation has become a key issue in the last decade due to the increase in the discourse for data privacy. 

The Legal Framework in India

India passed the Digital Personal Data Protection Act of 2023 which directs the data fiduciaries (collectors and processors of digital personal data) to store the data of Indian citizens within India. This push for data localisation aligns with India’s position to enhance privacy, national security and regulatory control. It further requires data fiduciaries to adhere to the principles of data minimisation, purposeful limitation and consent of the data principles. Further, Section 17 of the Act prohibits the transfer of sensitive personal data to foreign jurisdictions unless they meet satisfactory privacy protection standards. 

The Reserve Bank of India, via a circular for Payments Data Regulation in 2018, has mandated that all payment data be stored in India, though it can be processed abroad. It requires the telecom sector to ensure local storage and local processing of subscriber information. It further prohibits the transferring of subscribers’ account information overseas.

MeitY’s Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, emphasise data localisation, specifically when it involves government or critical data. The main idea behind this is that data related to Indian citizens or government activities should remain accessible to Indian law enforcement agencies and is not subject to external jurisdiction.

Common Misinformation about Data Localisation and its Impact

Misconceptions fuel misinformation and influence public perception and policy debates. A common misconception is that all data must be stored in India. It should be noted that non-critical and non-sensitive data are not subject to localisation, and can be cleared for cross-border transfers under specific circumstances.

Another misconception is that data localisation alone ensures complete security. A robust cybersecurity approach, infrastructure and capabilities are what guarantee security and this holds true regardless of the location of where the data is stored. 

The notion that small businesses and startups will suffer the most is untrue. While data localisation policies may lead to increased costs, they foster innovation in the domestic infrastructure and services. This potentially fuels development and innovation in these small businesses and startups. Claims that data localisation will stifle global business are unfounded. 

Proper regulations for data transfers can help balance data flows, enabling international trade while ensuring data sovereignty.

Real Impact of Data Localisation

Data localisation impacts several domains and has both positive and negative outcomes.

• It can be a driver for investment in local data centres and infrastructure, thereby inducing employment generation and boosting the domestic economy. And in contrast, the compliance costs may rise especially for MNCs that need to maintain multiple data storage systems. 
• It can expedite the growth of local technology ecosystems while encouraging innovation in cloud computing and data storage solutions. On the other hand, small businesses might face struggles to afford the required infrastructure updates and upgrades.
• Law enforcement agencies will be able to gain access to data more swiftly while avoiding lengthy processes such as the Mutual Legal Assistance Treaties (MLATs). However, it should be noted that storing data locally does not automatically ensure that they are immune from attacks and breaches.
• A balance between sovereignty and global partnerships is a challenge that emerges with data localisation. International Trade Relationships are vulnerable to data localisations where countries favour a free data flow. This can hamper foreign collaborations with companies that rely on global data systems.

CyberPeace Outlook

It is important to clear misinformation about data localisation, some strategies that can be undertaken are:

• Launching public awareness campaigns to educate the stakeholders about the real requirements and the benefits of data localisation. Misinformation about data restrictions and security guarantees should be tackled fairly quickly. 
• A balanced approach that promotes local economic development while at the same time allowing for the necessary cross-border data flows and creating a flexible and friendly business environment is important.
• India should work on international frameworks to streamline the process of data-sharing with other nations. This would protect national interests while making global cooperation easier.

Conclusion

Data localisation in India presents a valuable opportunity to enhance privacy, bolster national security, and stimulate economic growth through local infrastructure investment. Yet, addressing common misconceptions is crucial; the belief that all data must be stored domestically or that localisation alone ensures security is misleading. 

It’s vital to pair local data storage with robust cybersecurity measures and foster international cooperation. Supporting small businesses, which may face challenges due to localisation requirements, is equally important. By addressing misinformation, promoting flexible regulations, and working towards global data-sharing frameworks, India can effectively manage the complexities of data localisation, safeguarding national interests while encouraging innovation and economic development. 

References

• https://www.thehindu.com/sci-tech/technology/are-data-localisation-requirements-necessary-and-proportionate/article66131957.ece 
• https://carnegieendowment.org/research/2021/04/how-would-data-localization-benefit-india?lang=en
• https://www.rbi.org.in/commonperson/English/Scripts/FAQs.aspx?Id=2995
• https://www.meity.gov.in/writereaddata/files/Information%20Technology%20%28Intermediary%20Guidelines%20and%20Digital%20Media%20Ethics%20Code%29%20Rules%2C%202021%20%28updated%2006.04.2023%29-.pdf 

Introduction 

AI has revolutionized the way we look at growing technologies. AI is capable of performing complex tasks in fasten time. However, AI’s potential misuse led to increasing cyber crimes. As there is a rapid expansion of generative AI tools, it has also led to growing cyber scams such as Deepfake, voice cloning, cyberattacks targeting Critical Infrastructure and other organizations, and threats to data protection and privacy. AI is empowered by giving the realistic output of AI-created videos, images, and voices, which cyber attackers misuse to commit cyber crimes. 

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It is notable that the rapid advancement of technologies such as generative AI(Artificial Intelligence), deepfake, machine learning, etc. Such technologies offer convenience in performing several tasks and are capable of assisting individuals and business entities. On the other hand, since these technologies are easily accessible, cyber-criminals leverage AI tools and technologies for malicious activities or for committing various cyber frauds. By such misuse of advanced technologies such as AI, deepfake, and voice clones. Such new cyber threats have emerged. 

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What is Deepfake?

Deepfake is an AI-based technology. Deepfake is capable of creating realistic images or videos which in actuality are created by machine algorithms. Deepfake technology, since easily accessible, is misused by fraudsters to commit various cyber crimes or deceive and scam people through fake images or videos that look realistic. By using the Deepfake technology, cybercriminals manipulate audio and video content which looks very realistic but, in actuality, is fake. Voice cloning is also a part of deepfake. To create a voice clone of anyone's, audio can be deepfaked too, which closely resembles a real one but, in actuality, is a fake voice created through deepfake technology. 

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How Deepfake Can Harm Organizations or Enterprises?

• Reputation: Deepfakes have a negative impact on the reputation of the organization. It’s a reputation which is at stake. Fake representations or interactions between an employee and user, for example,  misrepresenting  CEO online, could damage an enterprise’s credibility, resulting in user and other financial losses. To be protective against such incidents of deepfake, organisations must thoroughly monitor online mentions and keep tabs on what is being said or posted about the brand. Deepfake-created content can also be misused to Impersonate leaders, financial officers and officials of the organisation.
• Misinformation: Deepfake can be used to spread misrepresentation or misinformation about the organisation by utilising the deepfake technology in the wrong way. 
• Deepfake Fraud calls misrepresenting the organisation: There have been incidents where bad actors pretend to be from legitimate organisations and seek personal information. Such as helpline fraudsters, fake representatives from hotel booking departments, fake loan providers, etc., where bad actors use voice clones or deepfake-oriented fake video calls in order to propose themselves as belonging to legitimate organisations and, in actuality, they are deceiving people.

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How can organizations combat AI-driven cybercrimes such as deepfake? 

• Cybersecurity strategy: Organisations need to keep in place a wide range of cybersecurity strategies or use advanced tools to combat the evolving disinformation and misrepresentation caused by deepfake technology.  Cybersecurity tools can be utilised to detect deepfakes. 
• Social media monitoring: Social media monitoring can be done to detect any unusual activity. Organisations can select or use relevant tools and implement technologies to detect deepfakes and demonstrate media provenance. Real-time verification capabilities and procedures can be used. Reverse image searches, like TinEye, Google Image Search, and Bing Visual Search, can be extremely useful if the media is a composition of images.
• Employee Training: Employee education on cybersecurity will also play a significant role in strengthening the overall cybersecurity posture of the organisation.

Conclusion

There have been incidents where AI-driven tools or technology have been misused by cybercriminals or bad actors.  Synthetic videos developed by AI are used by bad actors. Generative AI has gained significant popularity for many capabilities that produce synthetic media. There are concerns about synthetic media, such as its misuse of disinformation operations designed to influence the public and spread false information. In particular, synthetic media threats that organisations most often face include undermining the brand, financial gain, threat to the security or integrity of the organisation itself and Impersonation of the brand’s leaders for financial gain.

Synthetic media attempts to target organisations intending to defraud the organisation for financial gain. Example includes fake personal profiles on social networking sites and deceptive deepfake calls, etc. The organisation needs to have the proper cyber security strategy in place to combat such evolving threats. Monitoring and detection should be performed by the organisations and employee training on empowering on cyber security will also play a crucial role to effectively deal with evolving threats posed by the misuse of AI-driven technologies. 

References:

• https://media.defense.gov/2023/Sep/12/2003298925/-1/-1/0/CSI-DEEPFAKE-THREATS.PDF
• https://www.securitymagazine.com/articles/98419-how-to-mitigate-the-threat-of-deepfakes-to-enterprise-organizations

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