#FactCheck- Hong Kong Fire Video Falsely Shared as Footage of Recent Israeli Attack on Iran

Introduction

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Artificial Intelligence (AI) has transcended its role as a futuristic tool; it is already an integral part of the decision-making process in various sectors, including governance, the medical field, education, security, and the economy, worldwide. On the one hand, there are concerns about the nature of AI, its advantages and disadvantages, and the risks it may pose to the world. There are also doubts about the technology’s capacity to provide effective solutions, especially when threats such as misinformation, cybercrime, and deepfakes are becoming more common.

Recently, global leaders have reiterated that the use of AI should continue to be human-centric, transparent, and governed responsibly. The issue of offering unbridled access to innovators, while also preventing harm, is a dilemma that must be resolved.

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AI as a Global Public Good

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In earlier times only the most influential states and large corporations controlled the supply and use of advanced technologies, and they guarded them as national strategic assets. In contrast, AI has emerged as a digital innovation that exists and evolves within a deeply interconnected environment, which makes access far more distributed than before. Usage of AI in a specific country will not only bring its pros and cons to that particular place, but the rest of the world as well. For instance, deepfake scams and biased algorithms will not only affect the people in the country where they are created but also in all other countries where such people might be doing business or communicating. 

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The Growing Threat of AI Misuse

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• Deepfakes, Crime, and Digital Terrorism
  The application of artificial intelligence in the wrong way is quickly becoming one of the main security problems. Deepfake technology is being used to carry out electoral misinformation spread, communicate lies, and create false narratives. Cybercriminals are now making use of AI to make phishing attacks faster and more efficient, hack into security systems, and come up with elaborate social engineering tactics. In the case of extremist groups, AI has the power to give a better quality of propaganda, recruitment, and coordination.

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• Solution - Human Oversight and Safety-by-Design
  To overcome these dangers, a global AI system must be developed based on the principles of safety-by-design. This means incorporating moral safeguards right from the development phase rather than reacting after the damage is done. Moreover, human control is just as vital. Artificial intelligence (AI) systems that influence public confidence, security, or human rights should always be under the control of human decision-makers. Automated decision-making where there is no openness or the possibility of auditing could lead to black-box systems being developed, where the assignment of responsibility is unclear.

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Three Pillars of a Responsible AI Framework 

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1. Equitable Access to AI Technologies
   One of the major hindrances to global AI development is the non-uniformity of access. The provision of high-end computing capability, data infrastructure, and AI research resources is still highly localised in some areas. A sustainable framework needs to be set up so that smaller countries, rural areas, and people speaking different languages will also be able to share the benefits of AI. The distribution of access fairly will be a gradual process, but at the same time, it will lead to the creation of new ideas and improvements in the different places where the local markets are. Thus, there would be no digital divide, and the AI future would not be exclusively determined by the wealthy economies.
2. Population-Level Skilling and Talent Readiness
   AI will have an impact on worldwide working areas. Thus, societies must not only equip their people with the existing job skills but also with the future technology-based skills. Massive AI literacy programs, digital competencies enhancement, and cross-disciplinary education are very important. Forecasting human resources for roles in AI governance, data ethics, cyber security, and modern technologies will help prevent large scale displacement while also promoting growth that is genuinely inclusive.
3. Responsible and Human-Centric Deployment
   Adoption of Responsible AI makes sure that technology is used for social good and not just for making profits. The human-centred AI directs its applications to the sectors like healthcare, agriculture, education, disaster management, and public services, especially the underserved regions in the world that are most in need of these innovations. This strategy guarantees that progress in technology will improve human life instead of making the situation worse for the poor or taking away the responsibility from humans.

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Need for a Global AI Governance Framework

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• Why International Cooperation Matters
  AI governance cannot be fragmented. Different national regulations lead to the creation of loopholes that allow bad actors to operate in different countries. Hence, global coordination and harmonisation of safety frameworks is of utmost importance. A single AI governance framework should stipulate: 

• Clear responsible prohibition on AI misuse in terrorism, deepfakes, and cybercrime .
• Transparency and algorithm audits as a compulsory requirement.
• Independent global oversight bodies.
• Ethical codes of conduct in harmony with humanitarian laws.

Framework like this makes it clear that AI will be shaped by common values rather than being subject to the influence of different interest groups.

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• Talent Mobility and Open Innovation
  If AI is to be universally accepted, then global mobility of talent must be made easier. The flow of innovation takes place when the interaction between researchers, engineers, and policymakers is not limited by borders. 

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• AI, Equity, and Global Development
  The rapid concentration of technology in a few hands poses the risk of widening the gap in equality among countries. Most developing countries are facing the problems of poor infrastructure, lack of education and digital resources. By regarding them only as technology markets and not as partners in innovation, they become even more isolated from the mainstream of development. An AI development mix of human-centred and technology-driven must consider that the global stillness is broken only by the inclusion of the participation of the whole world. For example, the COVID-19 pandemic has already demonstrated how technology can be a major factor in the building of healthcare and crisis resilience. As a matter of fact, when fairly used, AI has a significant role to play in the realisation of the Sustainable Development Goals.

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Conclusion

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AI is located at a crucial junction. It can either enhance human progress or increase the digital risks. Making sure that AI is a global good goes beyond mere sophisticated technology; it requires moral leadership, inclusion in governance, and collaboration between countries. Preventing misuse by means of openness, supervision by humans, and policies that are responsible will be vital in keeping public trust. Properly guided, AI can make society more resilient, speed up development, and empower future generations. The future we choose is determined by how responsibly we act today.

As PM Modi stated ‘AI should serve as a global good, and at the same time nations must stay vigilant against its misuse’. CyberPeace reinforces this vision by advocating responsible innovation and a secure digital future for all.

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References

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• https://www.hindustantimes.com/india-news/ai-a-global-good-but-must-guard-against-misuse-pm-101763922179359.html
• https://www.deccanherald.com/india/g20-summit-pm-modi-goes-against-donald-trumps-stand-seeks-global-governance-for-ai-3807928
• https://timesofindia.indiatimes.com/india/need-global-compact-to-prevent-ai-misuse-pm-modi/articleshow/125525379.cms

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Introduction

Empowering today’s youth with the right skills is more crucial than ever in a rapidly evolving digital world. Every year on July 15th, the United Nations marks World Youth Skills Day to emphasise the critical role of skills development in preparing young people for meaningful work and resilient futures. As AI transforms industries and societies, equipping young minds with digital and AI skills is key to fostering security, adaptability, and growth in the years ahead.

Why AI Upskilling is Crucial in Modern Cyber Defence

Security in the digital age remains a complex challenge, regardless of the presence of Artificial Intelligence (AI). It is one of the biggest modern ironies, and not only that, it is a paradox wrapped in code, where the cure and the curse are written in the same language. The very hand that protects the world from cyber threats can very well be used for the creation of that threat. This being said, the modern-day implementation of AI has to circumvent the threats posed by it or any other advanced technology. A solid grasp of AI and machine learning mechanisms is no longer optional; it is fundamental for modern cybersecurity. The traditional cybersecurity training programs employ static content, which can often become outdated and inadequate for the vulnerabilities. AI-powered solutions, such as intrusion detection systems and next-generation firewalls, use behavioural analysis instead of just matching signatures. AI models are susceptible, nevertheless, as malevolent actors can introduce hostile inputs or tainted data to trick computers into incorrect classification. Data poisoning is a major threat to AI defences, according to Cisco's evidence.

As threats surpass the current understanding of cybersecurity professionals, a need arises to upskill them in advanced AI technologies so that they can fortify the security of current systems. Two of the most important skills for professionals would be AI/ML Model Auditing and Data Science. Skilled data scientists can sift through vast logs, from pocket captures to user profiles, to detect anomalies, assess vulnerabilities, and anticipate attacks. A news report from Business Insider puts it correctly: ‘It takes a good-guy AI to fight a bad-guy AI.’ The technology of generative AI is quite new. As a result, it poses fresh security issues and faces security risks like data exfiltration and prompt injections. 

Another method that can prove effective is Natural Language Processing (NLP), which helps machines process this unstructured data, enabling automated spam detection, sentiment analysis, and threat context extraction. Security teams skilled in NLP can deploy systems that flag suspicious email patterns, detect malicious content in code reviews, and monitor internal networks for insider threats, all at speeds and scales humans cannot match. 

The AI skills, as aforementioned, are not only for courtesy’s sake; they have become essential in the current landscape. India is not far behind in this mission; it is committed, along with its western counterparts, to employ the emerging technologies in its larger goal of advancement. With quiet confidence, India takes pride in its remarkable capacity to nurture exceptional talent in science and technology, with Indian minds making significant contributions across global arenas.

AI Upskilling in India

As per a news report of March 2025, Jayant Chaudhary, Minister of State, Ministry of Skill Development & Entrepreneurship, highlighted that various schemes under the Skill India Programme (SIP) guarantee greater integration of emerging technologies, such as artificial intelligence (AI), cybersecurity, blockchain, and cloud computing, to meet industry demands. The SIP’s parliamentary brochure states that more than 6.15 million recipients have received training as of December 2024. Other schemes that facilitate educating and training professionals, such as Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer are,

• Pradhan Mantri Kaushal Vikas Yojana 4.0 (PMKVY 4.0)
• Pradhan Mantri National Apprenticeship Promotion Scheme (PM-NAPS)
• Jan Shikshan Sansthan (JSS)

Another report showcases how Indian companies, or companies with their offices in India such as Ernst & Young (EY), are recognising the potential of the Indian workforce and yet their deficiencies in emerging technologies and leading the way by internal upskilling and establishing an AI Academy, a new program designed to assist businesses in providing their employees with essential AI capabilities, in response to the increasing need for AI expertise. Using more than 200 real-world AI use cases, the program offers interactive, organised learning opportunities that cover everything from basic ideas to sophisticated generative AI capabilities. 

In order to better understand the need for these initiatives, a reference is significant to a report backed by Google.org and the Asian Development Bank; India appears to be at a turning point in the global use of AI. As per the research, “AI for All: Building an AI-Ready Workforce in Asia-Pacific,” India urgently needs to provide accessible and efficient AI upskilling despite having the largest workforce in the world. According to the paper, by 2030, AI could boost the Asia-Pacific region’s GDP by up to USD 3 trillion. The key to this potential is India, a country with the youngest and fastest-growing population.

Conclusion and CyberPeace Resolution

As the world stands at the crossroads of innovation and insecurity, India finds itself uniquely poised, with its vast young population and growing technologies. But to truly safeguard its digital future and harness the promise of AI, the country must think beyond flagship schemes. Imagine classrooms where students learn not just to code but to question algorithms, workplaces where AI training is as routine as onboarding. 

India’s journey towards digital resilience is not just about mastering technology but about cultivating curiosity, responsibility, and trust. CyberPeace is committed to this future and is resolute in this collective pursuit of an ethically secure digital world. CyberPeace resolves to be an active catalyst in AI upskilling across India. We commit to launching specialised training modules on AI, cybersecurity, and digital ethics tailored for students and professionals. It seeks to close the AI literacy gap and develop a workforce that is both morally aware and technologically proficient by working with educational institutions, skilling initiatives, and industry stakeholders. 

References

1. https://www.helpnetsecurity.com/2025/03/07/ai-gamified-simulations-cybersecurity/ 
2. https://www.businessinsider.com/artificial-intelligence-cybersecurity-large-language-model-threats-solutions-2025-5?utm
3. https://apacnewsnetwork.com/2025/03/ai-5g-skills-boost-skill-india-targets-industry-demands-over-6-15-million-beneficiaries-trained-till-2024/ ‍
4. https://indianexpress.com/article/technology/artificial-intelligence/india-must-upskill-fast-to-keep-up-with-ai-jobs-says-new-report-10107821/

Introduction

India is becoming more digital. People are using cards and phones to pay for things. This means there is a risk of people stealing card information and committing fraud. The Payment Card Industry Data Security Standard or PCI DSS is a set of rules that helps companies keep card information safe. It was created by the PCI Security Standards Council, which was started by Visa, Mastercard, American Express, Discover and JCB. The goal of PCI DSS is to reduce the risk of data breaches and card fraud by making sure companies have security controls in place. For India, where digital payments are becoming more popular, PCI DSS is becoming a thing to do.

Applicability in India

PCI DSS applies to all companies in India that store, process or transmit card information. This includes banks, payment companies like Razorpay, PayU and CCAvenue and online sellers. Even companies that use a hosted payment page are responsible for following the rules. Companies that have their payment forms and handle card information have to follow more rules.

Why PCI DSS Matters

Payment security is very important for customers to trust a company. If a company has a security breach it can expose a lot of card information. Damage the company's reputation. In India, where cybercrime's a big problem, PCI DSS helps companies keep card information safe. It has rules for firewalls, encryption, access controls and regular testing to prevent fraud.

Regulatory Landscape: The RBIs Role

PCI DSS is not a law in India. The Reserve Bank of India or RBI has made it a requirement. The RBI has rules that require companies to follow PCI DSS and have security audits. Non-bank companies have to get permission from the RBI and follow rules to store payment information in India. This makes PCI DSS a standard for keeping card information safe in India.

Key Requirements and the Compliance Process

The current version of PCI DSS has twelve requirements that companies have to follow. These requirements include building a network protecting card information and regular testing. Companies have to start by identifying what parts of their system handle card information. Then do a gap analysis to see what they need to do to comply. Smaller companies can usually do this in a week but bigger companies may take several months.

Common Challenges and Practical Solutions

Some problems companies face when trying to comply with PCI DSS include old computer systems that cannot handle modern encryption and unclear rules that make it hard to know what to do. Some solutions include separating the card information system from the rest of the network using tokens and encryption to keep card information safe and regularly checking for vulnerabilities.

Business and Regulatory Benefits

Following PCI DSS rules can help companies avoid penalties and have security breaches. It can also make it easier for companies to work with banks and card networks and build trust with customers. Regulators also look favorably on companies that follow the rules.

Recent Developments and Trends

The RBI has been making rules and requiring companies to follow PCI DSS more closely. As digital payments become more popular it is likely that the RBI will keep making rules to keep card information safe.

As India's digital economy grows, keeping payment information safe is becoming more important. PCI DSS is a set of rules that helps companies keep card information safe. The RBI has made it a requirement for companies to follow these rules. Companies that follow the rules can build trust with customers. Avoid security breaches.

Conclusion

As India's digital economy deepens, protecting payment data is no longer optional; it is the price of participating in the card ecosystem. PCI DSS gives banks, fintechs, gateways and merchants a common, internationally recognised language for security, while RBI's guidelines add local regulatory teeth. Organisations that treat compliance as a continuous discipline, rather than a once-a-year audit exercise, will find it easier to earn customer trust, avoid costly breaches, and scale with confidence. For every business touching cardholder data in India, the message is clear: PCI DSS compliance is now foundational to running a secure, trustworthy digital payments operation.

References

1.  https://www.pcisecuritystandards.org/document_library/
2. https://www.rbi.org.in/Scripts/BS_ViewMasDirections.aspx
3. https://www.rbi.org.in/Scripts/NotificationUser.aspx
4. https://www.rbi.org.in/Scripts/NotificationUser.aspx?Id=11822
5. https://www.incorpx.io/blog/pci-dss-compliance-ecommerce-fintech-india
6.  https://cyraacs.com/pci-dss-compliance-checklist
7. https://www.skydo.com/blog/pci-dss-compliance-guide
8. https://www.cybercrime.gov.in/

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