#FactCheck-AI-Generated Video Falsely Shared as Scenes of Flood Devastation in Nepal
Executive Summary
Nepal witnessed severe devastation after floods struck the country on August 26, 2026. Amid this, a video showing a bridge being swept away by floodwaters is being widely shared on social media. Some users are sharing the video claiming that it shows scenes of destruction caused by the floods in Nepal.A research done by the Research Wing of the CyberPeace found that the video being shared with the claim of flood devastation in Nepal is AI-generated. However, it is true that the floods in Nepal have claimed hundreds of lives.
Claim
A user on X shared the video with the caption: “Scenes of devastation in Nepal after the disaster.”
https://www.instagram.com/reels/Dch-EmYNUwz/
https://perma.cc/5VY5-ZFCN?type=standard

Fact Check
We closely examined the video showing the bridge being swept away. A person can be seen standing on top of a truck, which appears unnatural in such a situation. Moreover, even as the bridge collapses, the people on it do not appear to fall directly into the water. These observations led us to suspect that the video was likely AI-generated.

We scanned the viral video using the AI detection tool ‘WasItAI’, which identified it as 99 percent AI-generated.

Meanwhile, another AI detection tool, Sightengine, also identified the video as 99 percent AI-generated.

Conclusion:
A video being shared with the claim that it shows devastation caused by floods in Nepal is actually from the shooting of an Indonesian TV serial, while another viral video is AI-generated.
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The world of Artificial Intelligence is entering a new phase with the rise of Agentic AI, often described as the third wave of AI evolution. Unlike earlier systems that relied on static models (that learn from the information that is fed) and reactive outputs, Agentic AI introduces intelligent agents that can make decisions, take initiative, and act autonomously in real time. These systems are designed to require minimal human oversight while actively collaborating and learning continuously. Such capabilities indicate an incoming shift, especially in the ways in which Indian businesses can function. For better understanding, Agentic AI is capable of streamlining operations, personalising services, and driving innovations at scale.
India and Agentic AI
Building as we go, India is making continuous strides in the AI revolution- deliberating on government frameworks, and simultaneously adapting. At Microsoft's Pinnacle 2025 summit in Hyderabad, India's pivotal role in shaping the future of Agentic AI was brought to the spotlight. With over 17 million developers on GitHub and ambitions to become the world's largest developer community by 2028, India's tech talent is gearing up to lead global AI innovations. Microsoft's Azure AI Foundry, also highlighted the country's growing influence in the AI landscape.
Indian companies are actively integrating Agentic AI into their operations to enhance efficiency and customer experience. Zomato is leveraging AI agents to optimise delivery logistics, ensuring timely and efficient service. Infosys has developed AI-driven copilots to assist developers in code generation, reducing development time, requiring fewer people to work on a particular project, and improving software quality.
As per a report by Deloitte, the Indian AI market is projected to grow potentially $20 billion by 2028. However, this is accompanied by significant challenges. 92% of Indian executives identify security concerns as the primary obstacle to responsible AI usage. Additionally, regulatory uncertainties and privacy risks associated with sensitive data were also highlighted.
Challenges in Adoption
Despite the enthusiasm, several barriers hinder the widespread adoption of Agentic AI in India:
- Skills Gap: While the AI workforce is expected to grow to 1.25 million by 2027, the current growth rate of 13% is considered to be insufficient with respect to the demands of the market.
- Data Infrastructure: Effective AI systems require robust, structured, and accessible datasets. Many organisations lack the necessary data maturity, leading to flawed AI outputs and decision-making failures.
- Trust and Governance: Building trust in AI systems is crucial. Concerns over data privacy, ethical usage, and regulatory compliance require robust governance frameworks to ensure the adoption of AI in a responsible manner.
- Looming fear of job loss: As AI continues to take up more sophisticated roles, a general feeling of hesitancy with respect to the loss of employment/human labour might come in the way of adopting such measures.
- Outsourcing: Currently, most companies prefer outsourcing or buying AI solutions rather than building them in-house. This gives rise to the issue of adapting to evolving needs.
The Road Ahead
To fully realise the potential of Agentic AI, India must address the following challenges :
- Training the Workforce: Initiatives and workshops tailored for employees that provide AI training can prove to be helpful. Some relevant examples are Microsoft’s commitment to provide AI training to 2 million individuals by 2025 and Infosys's in-house AI training programs.
- Data Readiness: Investing in modern data infrastructure and promoting data literacy are essential to improve data quality and accessibility.
- Establishing Governance Frameworks: Developing clear regulatory guidelines and ethical standards will foster trust and facilitate responsible AI adoption. Like the IndiaAI mission, efforts regarding evolving technology and keeping up with it are imperative.
Agentic AI holds unrealised potential to transform India's business landscape when coupled with innovation and a focus on quality that enhances global competitiveness. India is at a position where by proactively addressing the existing challenges, this potential can be realised and set the foundation for a new technological revolution (along with in-house development), solidifying its position as a global AI leader.
References
- https://economictimes.indiatimes.com/tech/artificial-intelligence/india-facing-shortage-of-agentic-ai-professionals-amid-surge-in-demand/articleshow/120651512.cms?from=mdr
- https://economictimes.indiatimes.com/tech/artificial-intelligence/india-a-global-leader-in-agentic-ai-adoption-deloitte-report/articleshow/119906474.cms?from=mdr
- https://inc42.com/features/from-zomato-to-infosys-why-indias-biggest-companies-are-betting-on-agentic-ai/
- https://www.hindustantimes.com/india-news/agentic-ai-next-big-leap-in-workplace-automation-101742548406693.html
- https://www.deloitte.com/in/en/about/press-room/india-rides-the-agentic-ai-wave.html
- https://www.businesstoday.in/tech-today/news/story/ais-next-chapter-starts-in-india-microsoft-champions-agentic-ai-at-pinnacle-2025-474286-2025-05-01
- https://www.hindustantimes.com/opinion/calm-before-ai-storm-a-moment-to-prepare-101746110985736.html
- https://www.financialexpress.com/life/technology/why-agentic-ai-is-the-next-big-thing/3828357/

Introduction
In today's digital age protecting your personal information is of utmost importance. The bad actors are constantly on the lookout for ways to misuse your sensitive or personal data. The Aadhaar card is a crucial document that is utilised by all of us for various aspects. It is considered your official government-verified ID and is used for various purposes such as for verification purposes, KYC purposes, and even for financial transactions. Your Aadhaar card is used in so many ways such as flight tickets booked by travel agents, check-in in hotels, verification at educational institutions and more. The bad actors can target and lure the victims by unauthorized access to your Aadhaar data and commit cyber frauds such as identity theft, unauthorized access, and financial fraud. Hence it is significantly important to protect your personal information and Aadhaar card details and prevent the misuse of your personal information.
What is fingerprint cloning?
Cybercrooks have been exploiting the Aadhaar Enabled Payment System (AePS). These scams entail cloning individuals' Aadhaar-linked biometrics through silicon fingerprints and unauthorized biometric devices, subsequently siphoning money from their bank accounts. Fingerprint cloning also known as fingerprint spoofing is a technique or a method where an individual tries to replicate someone else's fingerprint for unauthorized use. This is done for various reasons, including gaining unauthorized access to data, unlocking data or committing identity theft. The process of fingerprint cloning includes collection and creation.
The recent case of Aadhaar Card fingerprint cloning in Nawada
Nawada Cyber Police unit has arrested two perpetrators who were engaged in fingerprint cloning fraud. The criminals are accused of duping consumers of money from their bank accounts by cloning their fingerprints. Among the two perpetrators, one of them runs the Common Service Centre (CSC) whereas the second is a sweeper at the DBGB branch bank. The criminals are accused of duping consumers of money from their bank accounts by cloning their fingerprints. According to the police, an organized gang of cyber criminals had been defrauding the consumers for the last two years with the help of a CSC operator and were embezzling money from the accounts of consumers by cloning their fingerprints and taking Aadhaar numbers. The operator used to collect the Aadhaar number from the consumers by putting their thumb impression on a register. Among these two perpetrators, one was accused of withdrawing more money from the consumer's account and making less payment and sometimes not making the payment after withdrawing the money. Whereas the second perpetrator stole the data of consumers from the DBGB branch bank and prepared their fingerprint clone. During the investigation of a case related to fraud, the Special Investigation Team (SIT) of Cyber Police conducted raids in Govindpur and Roh police station areas on the basis of technical surveillance and available evidence and arrested them.
Safety measures for the security of your Aadhaar Card data
- Locking your biometrics: One way to save your Aadhaar card and prevent unauthorized access is by locking your biometrics. To lock & unlock your Aadhaar biometrics you can visit the official website of UIDAI or its official portal. So go to UIDAI’s and select the “Lock/Unlock Biometrics” from the Aadhar service section. Then enter the 12-digit Aadhaar number and security code and click on the OTP option. An OTP will be sent to your registered mobile number with Aadhaar. Once the OTP is received enter the OTP and click on the login button that will allow you to lock your biometrics. Enter the 4-digit security code mentioned on the screen and click on the “Enable” button. Your biometrics will be locked and you will have to unblock them in case you want to access them again. The official website of UIDAI is “https://uidai.gov.in/” and there is a dedicated Aadhar helpline 1947.
- Use masked Aadhaar Card: A masked Aadhaar card is a different rendition of an Aadhaar card that is designed to amplify the privacy and security of an individual Aadhaar number. In a masked Aadhaar card, the first eight digits of the twelve digits Aadhaar number are replaced by XXXX- XXXX and only the last four digits are visible. This adds an additional layer of protection to an individual Aadhaar’s number. To download a masked Aadhaar card you visit the government website of UIDAI and on the UIDAI homepage, you will see a "Download Aadhaar" option. Click on it. In the next step, you will be required to enter your 12-digit Aadhaar number along with the security code displayed on the screen. After entering your Aadhaar number, click on the Send OTP. You will receive an OTP on your registered phone number. Enter the OTP received in the provided field and click on the “Submit” button. You will be asked to select the format of your Aadhaar card, You can choose the masked Aadhaar card option. This will replace the first eight digits of your Aadhaar number with "XXXX-XXXX" on the downloaded Aadhaar card. Once the format is selected, click on the “Download Aadhaar” button and your masked Aadhaar card will be downloaded. So if any organisation requires your Aadhaar for verification you can share your masked Aadhar card which only shows the last 4 digits of your Aadhaar card number. Just the way you keep your bank details safe you should also keep your Aadhaar number secure otherwise people can misuse your identity and use it for fraud.
- Monitoring your bank account transactions: Regularly monitor your bank account statements for any suspicious activity and you can also configure transaction alerts with your bank account transactions.
Conclusion:
It is important to secure your Aadhaar card data effectively. The valuable security measure option of locking biometrics provides an additional layer of security. It safeguards your identity from potential scammers. By locking your biometrics you can secure your biometric data and other personal information preventing unauthorized access and any misuse of your Aadhaar card data. In today's evolving digital landscape protecting your personal information is of utmost importance. The cyber hygiene practices, safety and security measures must be adopted by all of us hence establishing cyber peace and harmonizing cyberspace.
References:
- https://www.livehindustan.com/bihar/story-cyber-crime-csc-operator-and-bank-sweeper-arrested-in-nawada-cheating-by-cloning-finger-prints-8913667.html
- https://www.indiatoday.in/news-analysis/story/cloning-fingerprints-fake-shell-entities-is-your-aadhaar-as-safe-as-you-may-think-2398596-2023-06-27

Introduction
Artificial Intelligence (AI) is fast transforming our future in the digital world, transforming healthcare, finance, education, and cybersecurity. But alongside this technology, bad actors are also weaponising it. More and more, state-sponsored cyber actors are misusing AI tools such as ChatGPT and other generative models to automate disinformation, enable cyberattacks, and speed up social engineering operations. This write-up explores why and how AI, in the form of large language models (LLMs), is being exploited in cyber operations associated with adversarial states, and the necessity for international vigilance, regulation, and AI safety guidelines.
The Shift: AI as a Cyber Weapon
State-sponsored threat actors are misusing tools such as ChatGPT to turbocharge their cyber arsenal.
- Phishing Campaigns using AI- Generative AI allows for highly convincing and grammatically correct phishing emails. Unlike the shoddily written scams of yesteryears, these AI-based messages are tailored according to the victim's location, language, and professional background, increasing the attack success rate considerably. Example: It has recently been reported by OpenAI and Microsoft that Russian and North Korean APTs have employed LLMs to create customised phishing baits and malware obfuscation notes.
- Malware Obfuscation and Script Generation- Big Language Models (LLMs) such as ChatGPT may be used by cyber attackers to help write, debug, and camouflage malicious scripts. While the majority of AI instruments contain safety mechanisms to guard against abuse, threat actors often exploit "jailbreaking" to evade these protections. Once such constraints are lifted, the model can be utilised to develop polymorphic malware that alters its code composition to avoid detection. It can also be used to obfuscate PowerShell or Python scripts to render them difficult for conventional antivirus software to identify. Also, LLMs have been employed to propose techniques for backdoor installation, additional facilitating stealthy access to hijacked systems.
- Disinformation and Narrative Manipulation
State-sponsored cyber actors are increasingly employing AI to scale up and automate disinformation operations, especially on election, protest, and geopolitical dispute days. With LLMs' assistance, these actors can create massive amounts of ersatz news stories, deepfake interview transcripts, imitation social media posts, and bogus public remarks on online forums and petitions. The localisation of content makes this strategy especially perilous, as messages are written with cultural and linguistic specificity, making them credible and more difficult to detect. The ultimate aim is to seed societal unrest, manipulate public sentiments, and erode faith in democratic institutions.
Disrupting Malicious Uses of AI – OpenAI Report (June 2025)
OpenAI released a comprehensive threat intelligence report called "Disrupting Malicious Uses of AI" and the “Staying ahead of threat actors in the age of AI”, which outlined how state-affiliated actors had been testing and misusing its language models for malicious intent. The report named few advanced persistent threat (APT) groups, each attributed to particular nation-states. OpenAI highlighted that the threat actors used the models mostly for enhancing linguistic quality, generating social engineering content, and expanding operations. Significantly, the report mentioned that the tools were not utilized to produce malware, but rather to support preparatory and communicative phases of larger cyber operations.
AI Jailbreaking: Dodging Safety Measures
One of the largest worries is how malicious users can "jailbreak" AI models, misleading them into generating banned content using adversarial input. Some methods employed are:
- Roleplay: Simulating the AI being a professional criminal advisor
- Obfuscation: Concealing requests with code or jargon
- Language Switching: Proposing sensitive inquiries in less frequently moderated languages
- Prompt Injection: Lacing dangerous requests within innocent-appearing questions
These methods have enabled attackers to bypass moderation tools, transforming otherwise moral tools into cybercrime instruments.
Conclusion
As AI generations evolve and become more accessible, its application by state-sponsored cyber actors is unprecedentedly threatening global cybersecurity. The distinction between nation-state intelligence collection and cybercrime is eroding, with AI serving as a multiplier of adversarial campaigns. AI tools such as ChatGPT, which were created for benevolent purposes, can be targeted to multiply phishing, propaganda, and social engineering attacks. The cross-border governance, ethical development practices, and cyber hygiene practices need to be encouraged. AI needs to be shaped not only by innovation but by responsibility.
References
- https://www.microsoft.com/en-us/security/blog/2024/02/14/staying-ahead-of-threat-actors-in-the-age-of-ai/
- https://www.bankinfosecurity.com/openais-chatgpt-hit-nation-state-hackers-a-28640
- https://oecd.ai/en/incidents/2025-06-13-b5e9
- https://www.microsoft.com/en-us/security/security-insider/meet-the-experts/emerging-AI-tactics-in-use-by-threat-actors
- https://www.wired.com/story/youre-not-ready-for-ai-hacker-agents/
- https://www.cert-in.org.in/PDF/Digital_Threat_Report_2024.pdf
- https://cdn.openai.com/threat-intelligence-reports/5f73af09-a3a3-4a55-992e-069237681620/disrupting-malicious-uses-of-ai-june-2025.pdf