#FactCheck- Brazil Explosion Video Falsely Linked to Attack on Israeli Defence Minister

Introduction

In an alarming event, one of India’s premier healthcare institutes, AIIMS Delhi, has fallen victim to a malicious cyberattack for the second time in the year. The Incident serves as a clear-cut reminder of the escalating threat landscape faced by the healthcare organisation in this digital age. In the attack, which unfolded with grave implications, the attackers not only explored the vulnerabilities present in the healthcare sector, but this also raised the concern about the security of patient data and the uninterrupted delivery of critical healthcare services. In this blog post, we will explore the incident, what happened, and what safety measures can be taken.

Backdrop

The cyber-security systems deployed in AIIMS, New Delhi, recently detected a malware attack. The nature and scope of the attack were both sophisticated and targeted. This second hack acts as a wake-up call for healthcare organisations nationwide. As the healthcare business increasingly depends on digital technology to improve patient care and operational efficiency, cybersecurity must be prioritised to protect sensitive data. To minimise cyber-attack dangers, healthcare organisations must invest in robust defences such as multi-factor authentication, network security, frequent system upgrades, and employee training.

The attempt was successfully prevented, and the deployed cyber-security systems neutralised the threat. The e-Hospital services remain to be fully secure and are functioning normally.

Impact on AIIMS

Healthcare services have been under hackers’ radar worldwide, and the healthcare sector has been impacted badly. The attack on AIIMS Delhi’s effects has been both immediate and far-reaching. The organisation, which is recognised for delivering excellent healthcare services and performing breakthrough medical research, faced significant interruptions in its everyday operations. Patient care and treatment processes were considerably impeded, resulting in delays, cancellations, and the inability to access essential medical documents. The stolen data raises serious concerns about patient privacy and confidentiality, raising doubts about the institution’s capacity to protect sensitive information. Furthermore, the financial ramifications of the assault, such as the cost of recovery, deploying more robust cybersecurity measures, and potential legal penalties and forensic analyses, contribute to the scale of the effect. The event has also generated public concerns about the institution’s ability to preserve personal information, undermining confidence and degrading AIIMS Delhi’s image.

Impact on Patients: The attacks not only impact the institutes but also have serious implications for the patients and here are some key highlights:

Healthcare Service Disruption: The hack has affected the seamless delivery of healthcare services at AIIMS Delhi. Appointments, surgeries, and other medical treatments may be delayed, cancelled, or rescheduled. This disturbance can result in longer wait times, longer treatment periods, and potential problems from delayed or interrupted therapy.

Patient Privacy and Confidentiality are jeopardised because of the breach of sensitive patient data. Medical data, test findings, and treatment plans may have been compromised. This breach may diminish patient faith in the institution’s capacity to safeguard their personal information, discouraging them from seeking care or submitting sensitive information in the future.

As a result of the cyberattack, patients may endure mental anguish and worry. Fear of possible exploitation of personal health information, confusion about the scope of the breach, and concerns about the security of their healthcare data can all have a negative impact on their mental health. This stress might aggravate pre-existing medical issues and impede total recovery.

Trust at stake: A data breach may harm patients’ faith and confidence in AIIMS Delhi and the healthcare system. Patients rely on healthcare facilities to keep their information secure and confidential while providing safe, high-quality care. A hack can doubt the institution’s ability to safeguard patient data, affecting patients’ overall faith in the organisation and potentially leading to patients seeking care elsewhere.

Cybersecurity Measures

To avoid future hacks and protect patient data, AIIMS Delhi must prioritize enhancing its cybersecurity procedures. The institution can strengthen its resistance to changing threats by establishing strong security practices. The following steps can be considered.

Using Multi-factor Authentication: By forcing users to submit several forms of identity to access systems and data, multi-factor authentication offers an extra layer of protection. AIIMS Delhi may considerably lower the danger of unauthorised access by applying this precaution, even in the case of leaked passwords or credentials. Biometrics and one-time passwords, for example, should be integrated into the institution’s authentication systems.

Improving Network Security and Firewalls: AIIMS Delhi should improve network security by implementing strong firewalls, intrusion detection and prevention systems, and network segmentation. These techniques serve to construct barriers between internal systems and external threats, reducing attackers’ lateral movement within the network. Regular network traffic monitoring and analysis can assist in recognising and mitigating any security breaches.

Risk Assessment: Regular penetration testing and vulnerability assessments are required to uncover possible flaws and vulnerabilities in AIIMS Delhi’s systems and infrastructure. Security professionals can detect vulnerabilities and offer remedial solutions by carrying out controlled simulated assaults. This proactive strategy assists in identifying and addressing any security flaws before attackers exploit them.

Educating and training Healthcare Professionals: Education and training have a crucial role in enhancing cybersecurity practices in healthcare facilities. Healthcare workers, including physicians, nurses, administrators, and support staff, must be well-informed about the importance of cybersecurity and trained in risk-mitigation best practices. This will empower healthcare professionals to actively contribute to protecting the patient’s data and maintaining the trust and confidence of patients.

Learnings from Incidents

AIIMS Delhi should embrace cyber-attacks as learning opportunities to strengthen its security posture. Following each event, a detailed post-incident study should be performed to identify areas for improvement, update security policies and procedures, and improve employee training programs. This iterative strategy contributes to the institution’s overall resilience and preparation for future cyber-attacks. AIIMS Delhi can effectively respond to cyber incidents, minimise the impact on operations, and protect patient data by establishing an effective incident response and recovery plan, implementing data backup and recovery mechanisms, conducting forensic analysis, and promoting open communication. Proactive measures, constant review, and regular revisions to incident response plans are critical for staying ahead of developing cyber threats and ensuring the institution’s resilience in the face of potential future assaults.

Conclusion

To summarise, developing robust healthcare systems in the digital era is a key challenge that healthcare organisations must prioritise. Healthcare organisations can secure patient data, assure the continuation of key services, and maintain patients’ trust and confidence by adopting comprehensive cybersecurity measures, building incident response plans, training healthcare personnel, and cultivating a security culture. Adopting a proactive and holistic strategy for cybersecurity is critical to developing a healthcare system capable of withstanding and successfully responding to digital-age problems.

A video purportedly showing Rashtriya Swayamsevak Sangh (RSS) chief Mohan Bhagwat making remarks about the “saffronisation” of the Indian Army has been widely circulated on social media. The clip claims that Bhagwat called for the removal of non-Hindus from the armed forces and linked the issue to future political leadership changes in the country.

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Claim

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However, a verification by the Cyber Peace Foundation has established that the video is misleading and has been digitally manipulated.

In the video, Bhagwat is allegedly heard saying that unless more than 50 percent of non-Hindus are removed from the Indian Army by 2028, Prime Minister Narendra Modi would be replaced by Uttar Pradesh Chief Minister Yogi Adityanath. The clip further attributes another statement to him, suggesting that he would resign if the Prime Minister were to demand Nitish Kumar’s resignation.

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By the time of publication, the video had been viewed over 7,000 times.( lINK, ARCHIVE Link, Screenshot

• https://x.com/Shaveta_Meena/status/2008824625741148611?s=20 
• https://archive.ph/qmVYy 

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Fact Check: 

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The reverse image search also directed the Desk to a video uploaded on CNN-News18’s official YouTube channel on December 21, 2025. The footage was found to be a longer version of the viral clip and was recorded at the RSS centenary event held in Kolkata on the same date. A comparison of both videos confirmed that the background visuals, stage setup and camera angles were identical.

However, a careful review of the original CNN-News18 video revealed that Mohan Bhagwat did not make any of the statements attributed to him in the viral clip.

In his original address, Bhagwat spoke about unity and referred to concerns over increasing atrocities against Hindus in Bangladesh. He made no reference to the Indian Army, nor did he comment on its composition or alleged saffronisation. Here is the link to the original video, along with a screenshot: https://www.youtube.com/watch?v=KnsAUGfBQBk&t=1s 

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In the next phase of the investigation, the audio track from the viral video was extracted and analysed using the AI audio detection tool Aurigin. The tool’s assessment indicated that the voice heard in the clip was artificially generated, confirming that the audio did not originate from the original speech.

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Conclusion

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The claim that RSS chief Mohan Bhagwat called for the saffronisation of the Indian Army is false. PTI Fact Check found that the viral video was digitally manipulated, using genuine footage from an RSS centenary event but pairing it with an AI-generated audio track. The altered video was shared online to mislead viewers by falsely attributing statements Bhagwat never made.

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AI and other technologies are advancing rapidly. This has ensured the rapid spread of information, and even misinformation. LLMs have their advantages, but they also come with drawbacks, such as confident but inaccurate responses due to limitations in their training data. The evidence-driven retrieval systems aim to address this issue by using and incorporating factual information during response generation to prevent hallucination and retrieve accurate responses.

What is Retrieval-Augmented Response Generation?

Evidence-driven Retrieval Augmented Generation (or RAG) is an AI framework that improves the accuracy and reliability of large language models (LLMs) by grounding them in external knowledge bases. RAG systems combine the generative power of LLMs with a dynamic information retrieval mechanism. The standard AI models rely solely on pre-trained knowledge and pattern recognition to generate text. RAG pulls in credible, up-to-date information from various sources during the response generation process. RAG integrates real-time evidence retrieval with AI-based responses, combining large-scale data with reliable sources to combat misinformation. It follows the pattern of:

• Query Identification: When misinformation is detected or a query is raised.
• Evidence Retrieval: The AI searches databases for relevant, credible evidence to support or refute the claim.
• Response Generation: Using the evidence, the system generates a fact-based response that addresses the claim.

How is Evidence-Driven RAG the key to Fighting Misinformation?

• RAG systems can integrate the latest data, providing information on recent scientific discoveries.
• The retrieval mechanism allows RAG systems to pull specific, relevant information for each query, tailoring the response to a particular user’s needs.
• RAG systems can provide sources for their information, enhancing accountability and allowing users to verify claims.
• Especially for those requiring specific or specialised knowledge, RAG systems can excel where traditional models might struggle.
• By accessing a diverse range of up-to-date sources, RAG systems may offer more balanced viewpoints, unlike traditional LLMs.

Policy Implications and the Role of Regulation

With its potential to enhance content accuracy, RAG also intersects with important regulatory considerations. India has one of the largest internet user bases globally, and the challenges of managing misinformation are particularly pronounced.

• Indian regulators, such as MeitY, play a key role in guiding technology regulation. Similar to the EU's Digital Services Act, the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, mandate platforms to publish compliance reports detailing actions against misinformation. Integrating RAG systems can help ensure accurate, legally accountable content moderation. 
• Collaboration among companies, policymakers, and academia is crucial for RAG adaptation, addressing local languages and cultural nuances while safeguarding free expression. 
• Ethical considerations are vital to prevent social unrest, requiring transparency in RAG operations, including evidence retrieval and content classification. This balance can create a safer online environment while curbing misinformation.

Challenges and Limitations of RAG

While RAG holds significant promise, it has its challenges and limitations.

• Ensuring that RAG systems retrieve evidence only from trusted and credible sources is a key challenge. 
• For RAG to be effective, users must trust the system. Sceptics of content moderation may show resistance to accepting the system’s responses. 
• Generating a response too quickly may compromise the quality of the evidence while taking too long can allow misinformation to spread unchecked.

Conclusion

Evidence-driven retrieval systems, such as Retrieval-Augmented Generation, represent a pivotal advancement in the ongoing battle against misinformation. By integrating real-time data and credible sources into AI-generated responses, RAG enhances the reliability and transparency of online content moderation. It addresses the limitations of traditional AI models and aligns with regulatory frameworks aimed at maintaining digital accountability, as seen in India and globally. However, the successful deployment of RAG requires overcoming challenges related to source credibility, user trust, and response efficiency. Collaboration between technology providers, policymakers, and academic experts can foster the navigation of these to create a safer and more accurate online environment. As digital landscapes evolve, RAG systems offer a promising path forward, ensuring that technological progress is matched by a commitment to truth and informed discourse.

References

• https://experts.illinois.edu/en/publications/evidence-driven-retrieval-augmented-response-generation-for-onlin 
• https://research.ibm.com/blog/retrieval-augmented-generation-RAG 
• https://medium.com/@mpuig/rag-systems-vs-traditional-language-models-a-new-era-of-ai-powered-information-retrieval-887ec31c15a0 
• https://www.researchgate.net/publication/383701402_Web_Retrieval_Agents_for_Evidence-Based_Misinformation_Detection 

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