#FactCheck-President Murmu’s Independence Day Address Altered with Fake Audio
Executive Summary:
A video is going viral on social media with the claim that President Droupadi Murmu has allegedly demanded an independent inquiry into the loss of Rafale jets. In the video clip, Murmu can allegedly be heard saying that India should investigate the reasons behind the loss of the aircraft and learn from its mistakes. A research by the research wing of the CyberPeace revealed that the viral video has been tampered with. President Droupadi Murmu had made no such statement.
Claim:
A video being shared on social media claims that President Droupadi Murmu has demanded the formation of an independent commission to investigate the causes behind the loss of India’s Rafale aircraft. In the viral video, Murmu can allegedly be heard stating that such an inquiry would help India avoid similar failures in the future.
https://archive.ph/UbLYj#selection-295.0-295.214
https://x.com/InsiderWB/status/2088669027258552509
Fact Check
During the research, we first conducted a customized keyword search using terms like "President Murmu", "Rafale jets", and "inquiry". During this search, we found no reliable media reports or official statements confirming the claim that President Droupadi Murmu had demanded an independent probe into the loss of Rafale aircraft. Upon performing a reverse image search on keyframes of the viral video, we found the original video of President Droupadi Murmu’s address to the nation uploaded on the official YouTube channel of the President of India on August 14, 2026. This address was delivered on the eve of India's 80th Independence Day. In the original video, President Murmu can be seen speaking in the exact same outfit and against the same background as visible in the viral clip. However, a review of the complete speech revealed no mention of Rafale aircraft or any demand for an independent inquiry into their alleged loss.
https://www.youtube.com/watch?v=BggdVYCyH6c
Following this, we analyzed the viral clip using several AI detection tools. Hive Moderation indicated a high probability that the video contained AI-generated or deepfake content.
Meanwhile, Resemble AI flagged the audio as fake.
Conclusion
The statement regarding an independent probe into the alleged loss of Rafale aircraft in the viral video has been falsely attributed to President Droupadi Murmu. The clip appears to be manipulated using AI-generated video and audio. There is no such statement in the President's original Independence Day address.
Related Blogs
Executive Summary
Following the tragic cruise accident at Bargi Dam in Jabalpur, a heartbreaking image of a woman lying unconscious in a river with a child resting on top of her has gone viral on social media. Users are claiming that the picture shows victims of the recent Bargi Dam accident. Research by CyberPeace Research Wing found that the viral claim is false. The circulating image was created using AI (Artificial Intelligence) and is now being misleadingly linked to the real tragedy. However, reports indicate that a similar real-life image of a mother and child did emerge after the accident.
Claim
An X user shared the viral image on May 1, 2026, claiming that despite wearing a life jacket, the mother lost her life while trying to save her child. The emotional post praised mothers’ sacrifice and linked the image directly to the Bargi Dam cruise mishap An X user shared the viral image on May 1, 2026, claiming that despite wearing a life jacket, the mother lost her life while trying to save her child. The emotional post praised mothers’ sacrifice and linked the image directly to the Bargi Dam cruise mishap
Fact Check
To verify the claim, we searched relevant keywords on Google but found no credible news reports connecting the viral image to the Bargi Dam accident. A closer examination of the image revealed multiple visual inconsistencies. The hands of the woman and child appear unnaturally merged at one point, while the woman’s eyebrows seem split into two sections. Such distortions are common indicators of AI-generated imagery.
We then analyzed the picture using AI detection tool Hive Moderation, which estimated nearly a 90% probability that the image was AI-generated.
During the research , we also found a clarification post from the official Facebook account of the Jabalpur District Collector, who stated that the viral image was AI-generated or sourced elsewhere and had no connection with the Bargi cruise accident.
According to a report published by NDTV on May 2, 2026, the accident occurred on April 30 near Khamaria Island when an overloaded tourist cruise capsized amid strong winds, heavy rain, and rising waves. At least nine people died, while 28 others were rescued.
Conclusion
Our research confirms that the viral mother-child image being linked to the Bargi Dam tragedy is fake. The picture was created using AI and falsely circulated in connection with the real cruise accident.
Introduction:
Digital Forensics, as the term goes, “It is the process of collecting, preserving, identifying, analyzing, and presenting digital evidence in a way that the evidence is legally admitted.”
It is like a detective work in the digital realm, where investigators use various specific methods to find deleted files and to reveal destroyed messages.
The reason why Digital Forensics is an important field is because with the advancement of technology and the use of digital devices, the role of Digital Forensics in preserving the evidence and protecting our data from cybercrime is becoming more and more crucial.
Digital Forensics is used in various situations such as:
- Criminal Investigations: Digital Forensics enables investigators to trace back cyber threat actors and further identify victims of the crime to gather evidence needed to punish criminals.
- Legal issues: Digital Forensics might aid in legal matters involving intellectual property infringement and data breaches etc.
Types of Digital Data in Digital Forensics:
1.Persistent (Non-volatile) Data :-
- This type of Data Remains Intact When The Computer Is Turned Off.
- ex. Hard-disk, Flash-drives
2. Volatile Data :-
- These types of Data Would Be Lost When The Computer Is Turned Off.
- ex. Temp. Files, Unsaved OpenFiles, etc.
The Digital Forensics Process
The process is as follows
- Evidence Acquisition: This process involves making an exact copy (forensic image) of the storage devices such as hard drives, SSD or mobile devices. The goal is to preserve the original data without changing it.
- Data Recovery: After acquiring the forensic image, the analysts use tools to recover deleted, hidden or the encrypted data inside the device .
- Timeline Analysis: Analysts use timestamp information from files, and system logs to reconstruct the timeline of activities on a device. This helps in understanding how an incident spanned out and who was involved in it.
- Malware Analysis: In cases involving security breaches, analysts analyze malware samples to understand their behavior, impact, and origins. various reverse engineering techniques are used to analyze the malicious code.
Types of tools:
- Faraday Bags: Faraday bags are generally the first step in digital evidence capture. These bags are generally made of conductive materials, which are used to shield our electronic devices from external waves such as WiFi, Bluetooth, and mobile cellular signals, which in turn protects the digital evidence from external tampering.
- Data recovery : These types of software are generally used for the recovery of deleted files and their associated data. Ex. Magnet Forensics, Access data, X-Ways
- Disk imaging and analysis :These types of softwares are Generally used to replicate the data storage devices and then perform further analysis on it ex. FTKImager, Autopsy, and, Sleuth Kit
- File carving tools: They are generally used to extract information from the embedded files in the image made. Ex.Foremost, Binwalk, Scalpel
Some common tools:
- EnCase: It is a tool for acquiring, analyzing, and reporting digital evidence.
- Autopsy: It is an open-source platform generally used for analyzing hard drives and smartphones.
- Volatility: It is a framework used generally for memory forensics to analyze volatile memory dumps and extract info.
- Sleuth Kit: It is a package of CLI tools for investigating disk images and its associated file systems.
- Cellebrite UFED: It is a tool generally used for mobile forensics.
Challenges in the Field:
- Encryption: Encryption plays a major challenge as the encrypted data requires specialized techniques and tools for decryption.
- Anti-Forensic Techniques: Anti-Forensics techniques play a major challenge as the criminals often use anti-forensic methods to cover their tracks, making it challenging to get the digital evidence.
- Data Volume and Complexity: The large volume of digital data and the diversity of various devices create challenges in evidence collection and analysis.
The Future of Digital Forensics: A Perspective
With the growth of technology and the vast presence of digital data, the challenges and opportunities in Digital Forensics keep on updating themselves. Due to the onset of new technology and the ever growing necessity of cloud storage, mobile devices, and the IoT (Internet of Things), investigators will have to develop new strategies and should be ready to adapt and learn from the new shaping of the tech world.
Conclusion:
Digital Forensics is an essential field in the recent era for ensuring fairness in the digital era. By collecting, inspecting, and analyzing the digital data, the Digital Forensics investigators can arrive lawfully at the prosecution of criminals and the settlement of civil disputes. Nowadays with technology on one hand progressing continuously, the discipline of Digital Forensics will certainly become even more pivotal in the case of investigations in the years to come.
Introduction
In January 2026, the Basic Act on the Development of Artificial Intelligence and the Establishment of a Foundation for Trustworthiness came into effect in South Korea, establishing one of the first national AI laws in the world. The bill, enacted by the National Assembly of Korea in December 2024 and implemented from January 22, 2026, aims to strike a balance between the rapid advancement of technology and clear safeguards against risks, as well as transparency, accountability, and responsible AI use. It puts Seoul and the European Union on the frontline of developing legal systems for artificial intelligence and indicates a long-term goal of becoming an AI power on the global stage.
What the AI Basic Act Covers
The AI Basic Act consists of 19 separate AI bills that are merged into a single piece of legislation that covers the lifecycle of AI, including research and development, deployment, and utilisation. It is very wide in its coverage: it refers to any AI system that influences the Korean market or users inside the country, irrespective of the country in which it is created. The law does not apply to national defence and security applications.
The law defines key concepts like artificial intelligence, generative AI, and high-impact AI and establishes the principles of ethical AI, safety, user rights, industry support, and national policy coordination. It also offers a legal foundation for the activities of the government to promote AI innovation without jeopardising the common good.
Fundamentally, the AI Basic Act is designed to establish a culture of trust between businesses and the government/citizens. It does not prohibit AI technologies and does not excessively limit innovation. Instead, it creates the framework of responsible development and economic growth.
Guardrails for Safety and Accountability
One of the defining features of the AI Basic Act is its risk-based approach. Rather than considering all AI systems as similar, it makes a distinction between ordinary and high-impact AI systems, the ones applied in sectors where the wrong or unsafe decision can have a major impact on the safety, rights, or critical infrastructure of the population. Some of them can be seen in healthcare, transportation, financial services, education, and public services.
The high-impact AI operators must integrate risk management plans, human controls, and surveillance systems. In critical decision-making situations, human control should be available at all times; that is, machines can help but not override human control where human safety or other human rights are involved.
The law enables the regulators to perform on-site checks, demand documentation, and conduct compliance investigations. Fines for breaches may go up to 30 million Korean won (approximately 21,000 US dollars). It has a one-year period of transition that is based on guidance but not enforcement, thus allowing companies time to implement compliance measures before imposing fines.
These requirements contribute to enhancing accountability by defining who is accountable for the safety outcomes. The law in South Korea is placed in the ecosystem, as opposed to the methods in which industry self-governance alone is utilised.
Transparency and Labelling Requirements
The AI Basic Act is based on transparency. The legislation ensures that users are notified before an AI system is operating, particularly with the generation of AI outputs that could be confused with human-created material. As an example, AI-generated text, images, video, or audio that may be difficult to distinguish between reality and fake must have obvious labels or watermarks to allow users to understand the source of the content.
The necessity to label is meant to fight misinformation, misleading activities, and unintended influence on the perception of the people. It is based on international anxiety regarding AI-generated content, such as deepfakes, manipulated media, and misleading online advertisements that have already been addressed separately in policy by South Korea, as well as discussions of data governance.
The transparency is also applied to the process of decision-making in AI systems. Developers and operators should be able to give explicit information about the way in which high-impact systems make their conclusions so that those who are victims of automated decisions can seek meaningful explanations. Although specific explainability criteria are in the process of being developed, the law grounds the principle that AI cannot act behind the scenes in situations where crucial decisions are being made.
Data Privacy and User Protection
The AI governance practice in South Korea is complementary to its current data protection laws, the Personal Information Protection Act (PIPA), which is broadly regarded as equivalent to major international data protection regulations like the GDPR in regard to personal data laws. The AI Basic Act provides an explanation as to how the data can be gathered, processed, and utilised within AI systems with regard to privacy rights, particularly in areas of high impact.
The law does not supersede the personal data protection policies, but it sets certain conditions on how AI developers must address the data to be utilised in training, testing, and running AIs. Operators will be required to document their data workflows and demonstrate how they guard the privacy of their users, including by transparency and consent mechanisms where necessary. This can assist in ensuring that the information that is utilised in AI functions is regulated by definite norms, and it is more difficult to avoid privacy requirements in the name of innovation.
Accountability and Governance Infrastructure
The AI Basic Act establishes a national policy framework of AI governance. The National Artificial Intelligence Strategy Committee, chaired by the President, is at the top and proposes the overall AI policy and aligns it with national objectives. The organisations that would support this are the specialised organisations that deal with safety, risk assessment, and research and the policy centre that would analyse the effects of AI on society and assist in its adoption by the industry.
This institutional structure facilitates strategic guidance as well as operational control. It is through incorporating AI governance in the administration of the people, but not into the market forces, that South Korea wishes to have the ethical and societal concerns become part of the sectors and agencies.
Promoting Innovation and Industrial Support
Although the AI Basic Act does not disregard regulation, it is not a law of restrictions. It also offers legal justification for research and development, human capital, and the growth of the AI industry, with special consideration for startups and small and medium-sized businesses. The legislation promotes AI clusters, long-term funding programmes, and policies to bring foreign talent to the Korean AI ecosystem.
This bidimensional approach of compliance and support is indicative of the broader desire of Korea to become one of the leading AI powers in the world, along with the US and China. The government has pointed out that it will encourage trust by having clear and predictable rules that will attract investment and maintain innovation and not stifle it.
What This Means Globally
The AI Basic Act of South Korea is not only interesting in its contents but also in its timing. It is also among the first thorough AI legislations to come into force in the world, and it beats the gradual regulatory implementations in other parts of the globe, like the European Union. Its system incorporates a principle-based framework, transparency requirements, accountability regulations, and industrial support, which reflects a contrasting model to either pure prescriptive risk regulation or lax self-regulation models elsewhere.
Other critics, such as industry groups and civil society organisations, have suggested that some of the protections may be more explicit, in particular to those who are harmed by AI systems, or to establish high-impact categories. Nonetheless, the framework sets a benchmark upon which most nations will pay close attention when they establish their own AI regimes.
Conclusion
The AI Basic Act puts South Korea at the forefront of national AI regulation, including very well-developed guardrails that enforce transparency, ethical control, accountability, and data protection in addition to fostering innovation. It recognises that AI could lead to economic and social advantages, yet also actual risks, particularly when systems are opaque, autonomous, or widely implemented. South Korea has gone holistically in responsible AI governance by integrating human oversight, labelling requirements, risk management planning, and governance infrastructure into law to be emulated by other countries in the years to come.
Sources
- https://www.theguardian.com/world/2026/jan/29/south-korea-world-first-ai-regulation-laws
- https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/10/artificial-intelligence-and-the-labour-market-in-korea_af668423/68ab1a5a-en.pdf
- https://asianintelligence.ai/south-korea
- https://aibasicact.kr/
- https://aibusinessweekly.net/p/south-korea-ai-basic-act-takes-effect-jan22-2026
- https://asiadaily.org/news/12112/
