#FactCheck – False Claim of Lord Ram's Hologram in Srinagar - Video Actually from Dehradun

Introduction 

As digital platforms rapidly become repositories of information related to health, YouTube has emerged as a trusted source people look to for answers. To counter rampant health misinformation online, the platform launched YouTube Health, a program aiming to make “high-quality health information available to all” by collaborating with health experts and content creators. While this is an effort in the right direction, the program needs to be tailored to the specificities of the Indian context if it aims to transform healthcare communication in the long run.

The Indian Digital Health Context 

India’s growing internet penetration and lack of accessible healthcare infrastructure, especially in rural areas, facilitates a reliance on digital platforms for health information. However, these, especially social media, are rife with misinformation. Supplemented by varying literacy levels, access disparities, and lack of digital awareness, health misinformation can lead to serious negative health outcomes. The report ‘Health Misinformation Vectors in India’ by DataLEADS suggests a growing reluctance surrounding conventional medicine, with people looking for affordable and accessible natural remedies instead. Social media helps facilitate this shift. However, media-sharing platforms such as WhatsApp, YouTube, and Facebook host a large chunk of health misinformation. The report identifies that cancer, reproductive health, vaccines, and lifestyle diseases are four key areas susceptible to misinformation in India.

YouTube’s Efforts in Promoting Credible Health Content 

YouTube Health aims to provide evidence-based health information with “digestible, compelling, and emotionally supportive health videos,” from leading experts to everyone irrespective of who they are or where they live. So far, it executes this vision through:

• Content Curation: The platform has health source information panels and content shelves highlighting videos regarding 140+ medical conditions from authority sources like All India Institute of Medical Sciences (AIIMS), National Institute of Mental Health and Neurosciences (NIMHANS), Max Healthcare etc., whenever users search for health-related topics.
• Localization Strategies: The platform offers multilingual health content in regional languages such as Hindi, Tamil, Telugu, Marathi, Kannada, Malayalam, Punjabi, and Bengali, apart from English. This is to help health information reach viewers across most of the country. 
• Verification of professionals: Healthcare professionals and organisations can apply to YouTube’s health feature for their videos to be authenticated as an authority health source on the platform and for their videos to show up on the ‘Health Sources’ shelf.

Challenges 

• Limited Reach: India has a diverse linguistic ecosystem. While health information is made available in over 8 languages, the number is not enough to reach everyone in the country. Efforts to reach more people in vernacular languages need to be ramped up. Further, while there were around 50 billion views of health content on YouTube in 2023, it is difficult to measure the on-ground outcomes of those views.
• Lack of Digital Literacy: Misinformation on digital platforms cannot be entirely curtailed owing to the way algorithms are designed to enhance user engagement. However, uploading authoritative health information as a solution may not be enough, if users lack awareness about misinformation and the need to critically evaluate and trust only credible sources. In India, this critical awareness remains largely underdeveloped.

Conclusion 

Considering that India has over 450 million users, by far the highest number of users in any country in the world, the platform has recognized that it can play a transformative role in the country’s digital health ecosystem. To accomplish its mission “to combat the societal threat of medical misinformation,” YouTube will have to continue to take several proactive measures. There is scope for strengthening collaborations with Indian public health agencies and trusted public figures, national and regional,  to provide credible health information to all.  The approach will have to be tailored to India’s vast linguistic diversity, by encouraging capacity-building for vernacular creators to produce credible content. Finally, multiple stakeholders will need to come together to promote digital literacy through education campaigns about identifying trustworthy sources.

Sources 

• https://indianexpress.com/article/technology/tech-news-technology/youtube-health-dr-garth-graham-interview-9746673/ 
• https://economictimes.indiatimes.com/news/india/cancer-misinformation-extremely-prevalent-in-india-trust-in-science-medicine-crucial-report/articleshow/115931783.cms?from=mdr 
• https://health.youtube/our-mission/ 
• https://health.youtube/features-application/ 
• https://backlinko.com/youtube-users 

On 6 June 2025, the EU Council officially adopted the revised Cybersecurity Blueprint, marking a significant evolution from the 2017 guidance. This framework, formalised through Council Recommendation COM(2025) 66 final, responds to a transformed threat environment and reflects new legal milestones like the NIS2 Directive (Network and Information Security Directive) and the Cyber Solidarity Act.

From Fragmented Response to Cohesive Strategy

‍

Between 2017 and now, EU member states have built various systems to manage cyber incidents. Still, real-world events and exercises highlighted critical gaps - uncoordinated escalation procedures, inconsistent terminology, and siloed information flows. The updated Blueprint addresses these issues by focusing on a harmonised operational architecture for the EU. It defines a clear crisis lifecycle with five stages: Detection, Analysis, Escalation, Response, and Recovery. Each stage is supported by common communication protocols, decision-making processes, and defined roles. Consistency is key; standardised terminology along with a broad scope of application that eases cross-border collaboration and empowers coherent response efforts.

Legal Foundations: NIS2, ENISA & EU‑CyCLONe

‍

Several core pillars of EU cybersecurity directly underpin the Blueprint:

• ENISA – The European Union Agency for Cybersecurity continues to play a central role. It supports CSIRTs' Network operations, leads EU‑CyCLONe ( European cyber crisis liaison organisation network) coordination, conducts simulation exercises, and gives training on incident management
• NIS2 Directive, particularly Article 16, is a follow-up of NIS. NIS2 mandates operators of critical infrastructure and essential services to implement appropriate security measures and report incidents to the relevant authorities. Compared to NIS, NIS2 expands its EU-wide security requirements and scope of covered organisations and sectors to improve the security of supply chains, simplify reporting obligations, and enforce more stringent measures and sanctions throughout Europe. It also formally legitimises the EU‑CyCLONe network, which is the crisis liaison mechanism bridging technical teams from member states.

‍

These modern tools, integrated with legal backing, ensure the Blueprint isn’t just theoretical; it’s operationally enforceable.

‍

What’s Inside the Blueprint?

‍

The 2025 Blueprint enhances several critical areas:

‍

1. Clear Escalation Triggers - It spells out when a national cyber incident merits EU-level attention, especially those affecting critical infrastructure across borders. Civilian Military Exchange. The Blueprint encourages structured information sharing with defence institutions and NATO, recognising that cyber incidents often have geopolitical implications 
2. Recovery & Lessons Learned – A dedicated chapter ensures systematic post-incident reviews and shared learning among member states.

‍

Adaptive & Resilient by Design

‍

Rather than a static document, the Blueprint is engineered to evolve:

• Regular Exercises: Built into the framework are simulation drills that are known as Blueprint Operational Level Exercises—to test leadership response and cross-border coordination via EU‑CyCLONe
• Dynamic Reviews: The system promotes continuous iteration- this includes revising protocols, learning from real incidents, and refining role definitions.
  
  

This iterative, learning-oriented architecture aims to ensure the Blueprint remains robust amid rapidly evolving threats, including AI-boosted hacks and hybrid cyber campaigns.

Global Implications & Lessons for Others

‍

The EU’s Cybersecurity Blueprint sets a global benchmark in cyber resilience and crisis governance:

• Blueprint for Global Coordination: The EU’s method of defined crisis stages, empowered liaison bodies (like EU‑CyCLONe), and continuous exercise can inspire other regional blocs or national governments to build their own crisis mechanisms.
• Public–Private Synergy: The Blueprint’s insistence on cooperation between governments and private-sector operators of essential services (e.g., energy, telecom, health) provides a model for forging robust ecosystems.
• Learning & Sharing at Scale: Its requirement for post-crisis lessons and peer exchange can fuel a worldwide knowledge network, cultivating resilience across jurisdictions.

Conclusion

‍

The 2025 EU Cybersecurity Blueprint is more than an upgrade; it’s a strategic shift toward operational readiness, legal coherence, and collaborative resilience. Anchored in NIS2 and ENISA, and supported by EU‑CyCLONe, it replaces fragmented guidance with a well-defined, adaptive model. Its adoption signals a transformative moment in global cyber governance as for nations building crisis frameworks, the Blueprint offers a tested, comprehensive template: define clear stages, equip liaison networks, mandate drills, integrate lessons, and legislate coordination. In an era where cyber threats transcend borders, this proves to be an important development that can offer guidance and set a precedent.

‍

For India, the EU Cybersecurity Blueprint offers a valuable reference point as we strengthen our own frameworks through initiatives like the DPDP Act, the upcoming Digital India Act and CERT-In’s evolving mandates. It reinforces the importance of coordinated response systems, cross-sector drills, and legal clarity. As cyber threats grow more complex, such global models can complement our national efforts and enhance regional cooperation.

‍

References

• https://industrialcyber.co/expert/the-eus-cybersecurity-blueprint-and-the-future-of-cyber-crisis-management/
• https://www.consilium.europa.eu/en/press/press-releases/2025/06/06/eu-adopts-blueprint-to-better-manage-european-cyber-crises-and-incidents/ 
• https://www.enisa.europa.eu/topics/eu-incident-response-and-cyber-crisis-management 
• https://www.enisa.europa.eu/news/new-cyber-blueprint-to-scale-up-the-eu-cybersecurity-crisis-management 
• https://www.isc2.org/Insights/2025/01/EU-Cyber-Solidarity-Act 
• https://www.enisa.europa.eu/topics/eu-incident-response-and-cyber-crisis-management/eu-cyclone 
• https://nis2directive.eu/what-is-nis2/ 

‍

A report by MarketsandMarkets in 2024 showed that the global AI market size is estimated to grow from USD 214.6 billion in 2024 to USD 1,339.1 billion in 2030, at a CAGR of 35.7%. AI has become an enabler of productivity and innovation. A Forbes Advisor survey conducted in 2023 reported that 56% of businesses use AI to optimise their operations and drive efficiency. Further, 51% use AI for cybersecurity and fraud management, 47% employ AI-powered digital assistants to enhance productivity and 46% use AI to manage customer relationships.

AI has revolutionised business functions. According to a Forbes survey, 40% of businesses rely on AI for inventory management, 35% harness AI for content production and optimisation and 33% deploy AI-driven product recommendation systems for enhanced customer engagement.  This blog addresses the opportunities and challenges posed by integrating AI into operational efficiency.

Artificial Intelligence and its resultant Operational Efficiency

AI has exemplary optimisation or efficiency capabilities and is widely used to do repetitive tasks. These tasks include payroll processing, data entry, inventory management, patient registration, invoicing, claims processing, and others. AI use has been incorporated into such tasks as it can uncover complex patterns using NLP, machine learning, and deep learning beyond human capabilities. It has also shown promise in improving the decision-making process for businesses in time-critical, high-pressure situations. 

AI-driven efficiency is visible in industries such as the manufacturing industry for predictive maintenance, in the healthcare industry for streamlining diagnostics and in logistics for route optimisation. Some of the most common real-world examples of AI increasing operational efficiency are self-driving cars (Tesla), facial recognition (Apple Face ID), language translation (Google Translate), and medical diagnosis (IBM Watson Health)

Harnessing AI has advantages as it helps optimise the supply chain, extend product life cycles, and ultimately conserve resources and cut operational costs. 

Policy Implications for AI Deployment 

Some of the policy implications for development for AI deployment are as follows:

1. Develop clear and adaptable regulatory frameworks for the ongoing and future developments in AI. The frameworks need to ensure that innovation is not hindered while managing the potential risks. 
2. As AI systems rely on high-quality data that is accessible and interoperable to function effectively and without proper data governance, these systems may produce results that are biased, inaccurate and unreliable. Therefore, it is necessary to ensure data privacy as it is essential to maintain trust and prevent harm to individuals and organisations.
3. Policy developers need to focus on creating policies that upskill the workforce which complements AI development and therefore job displacement. 
4. To ensure cross-border applicability and efficiency of standardising AI policies, the policy-makers need to ensure that international cooperation is achieved when developing the policies.

Addressing Challenges and Risks 

Some of the main challenges that emerge with the development of AI are algorithmic bias, cybersecurity threats and the dependence on exclusive AI solutions or where the company retains exclusive control over the source codes. Some policy approaches that can be taken to mitigate these challenges are:

1. Having a robust accountability mechanism. 
2. Establishing identity and access management policies that have technical controls like authentication and authorisation mechanisms. 
3. Ensure that the learning data that AI systems use follows ethical considerations such as data privacy, fairness in decision-making, transparency, and the interpretability of AI models.

Conclusion 

AI can contribute and provide opportunities to drive operational efficiency in businesses. It can be an optimiser for productivity and costs and foster innovation for different industries. But this power of AI comes with its own considerations and therefore, it must be balanced with proactive policies that address the challenges that emerge such as the need for data governance, algorithmic bias and risks associated with cybersecurity. A solution to overcome these challenges is establishing an adaptable regulatory framework, fostering workforce upskilling and promoting international collaborations. As businesses integrate AI into core functions, it becomes necessary to leverage its potential while safeguarding fairness, transparency, and trust. AI is not just an efficiency tool, it has become a stimulant for organisations operating in a rapidly evolving digital world.

References

• https://indianexpress.com/article/technology/artificial-intelligence/ai-indian-businesses-long-term-gain-operational-efficiency-9717072/ 
• https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-market-74851580.html
• https://www.forbes.com/councils/forbestechcouncil/2024/08/06/smart-automation-ais-impact-on-operational-efficiency/ 
• https://www.processexcellencenetwork.com/ai/articles/ai-operational-excellence 
• https://www.leewayhertz.com/ai-for-operational-efficiency/ 
• https://www.forbes.com/councils/forbestechcouncil/2024/11/04/bringing-ai-to-the-enterprise-challenges-and-considerations/  

‍