#FactCheck: False Claims of Fireworks in Dubai International Stadium celebrating India’s Champions Trophy Victory 2025

Introduction

Data Breaches have taken over cyberspace as one of the rising issues, these data breaches result in personal data making its way toward cybercriminals who use this data for no good. As netizens, it's our digital responsibility to be cognizant of our data and the data of one's organization. The increase in internet and technology penetration has made people move to cyberspace at a rapid pace, however, awareness regarding the same needs to be inculcated to maximise the data safety of netizens. The recent AIIMS cyber breach has got many organisations worried about their cyber safety and security. According to the HIPPA Journal, 66% of healthcare organizations reported ransomware attacks on them. Data management and security is the prime aspect of clients all across the industry and is now growing into a concern for many. The data is primarily classified into three broad terms-

• Personal Identified Information (PII) - Any representation of information that permits the identity of an individual to whom the information applies to be reasonably inferred by either direct or indirect means.
• Non-Public Information (NPI) - The personal information of an individual that is not and should not be available to the public. This includes Social Security Numbers, bank information, other personal identifiable financial information, and certain transactions with financial institutions.
• Material Non-Public Information (MNPI) - Data relating to a company that has not been made public but could have an impact on its share price. It is against the law for holders of nonpublic material information to use the information to their advantage in trading stocks.

This classification of data allows the industry to manage and secure data effectively and efficiently and at the same time, this allows the user to understand the uses of their data and its intensity in case of breach of data. Organisations process data that is a combination of the above-mentioned classifications and hence in instances of data breach this becomes a critical aspect. Coming back to the AIIMS data breach, it is a known fact that AIIMS is also an educational and research institution. So, one might assume that the reason for any attack on AIIMS could be either to exfiltrate patient data or could be to obtain hands-on the R & D data including research-related intellectual properties. If we postulate the latter, we could also imagine that other educational institutes of higher learning such as IITs, IISc, ISI, IISERs, IIITs, NITs, and some of the significant state universities could also be targeted. In 2021, the Ministry of Home Affairs through the Ministry of Education sent a directive to IITs and many other institutes to take certain steps related to cyber security measures and to create SoPs to establish efficient data management practices. The following sectors are critical in terms of data protection-

• Health sector
• Financial sector
• Education sector
• Automobile sector

These sectors are generally targeted by bad actors and often data breach from these sectors result in cyber crimes as the data is soon made available on Darkweb. These institutions need to practice compliance like any other corporate house as the end user here is the netizen and his/her data is of utmost importance in terms of protection.Organisations in today's time need to be in coherence to the advancement in cyberspace to find out keen shortcomings and vulnerabilities they may face and subsequently create safeguards for the same. The AIIMS breach is an example to learn from so that we can protect other organisations from such cyber attacks. To showcase strong and impenetrable cyber security every organisation should be able to answer these questions-

• Do you have a centralized cyber asset inventory?
• Do you have human resources that are trained to model possible cyber threats and cyber risk assessment?
• Have you ever undertaken a business continuity and resilience study of your institutional digitalized business processes?
• Do you have a formal vulnerability management system that enumerates vulnerabilities in your cyber assets and a patch management system that patches freshly discovered vulnerabilities?
• Do you have a formal configuration assessment and management system that checks the configuration of all your cyber assets and security tools (firewalls, antivirus management, proxy services) regularly to ensure they are most securely configured?
• Do have a segmented network such that your most critical assets (servers, databases, HPC resources, etc.) are in a separate network that is access-controlled and only people with proper permission can access?
• Do you have a cyber security policy that spells out the policies regarding the usage of cyber assets, protection of cyber assets, monitoring of cyber assets, authentication and access control policies, and asset lifecycle management strategies?
• Do you have a business continuity and cyber crisis management plan in place which is regularly exercised like fire drills so that in cases of exigencies such plans can easily be followed, and all stakeholders are properly trained to do their part during such emergencies?
• Do you have multi-factor authentication for all users implemented?
• Do you have a supply chain security policy for applications that are supplied by vendors? Do you have a vendor access policy that disallows providing network access to vendors for configuration, updates, etc?
• Do you have regular penetration testing of the cyberinfrastructure of the organization with proper red-teaming?
• Do you have a bug-bounty program for students who could report vulnerabilities they discover in your cyber infrastructure and get rewarded?
• Do you have an endpoint security monitoring tool mandatory for all critical endpoints such as database servers, application servers, and other important cyber assets?
• Do have a continuous network monitoring and alert generation tool installed?
• Do you have a comprehensive cyber security strategy that is reflected in your cyber security policy document?
• Do you regularly receive cyber security incidents (including small, medium, or high severity incidents, network scanning, etc) updates from your cyber security team in order to ensure that top management is aware of the situation on the ground?
• Do you have regular cyber security skills training for your cyber security team and your IT/OT engineers and employees?
• Do your top management show adequate support, and hold the cyber security team accountable on a regular basis?
• Do you have a proper and vetted backup and restoration policy and practice?

If any organisation has definite answers to these questions, it is safe to say that they have strong cyber security, these questions should not be taken as a comparison but as a checklist by various organisations to be up to date in regard to the technical measures and policies related to cyber security. Having a strong cyber security posture does not drive the cyber security risk to zero but it helps to reduce the risk and improves the fighting chance. Further, if a proper risk assessment is regularly carried out and high-risk cyber assets are properly protected, then the damages resulting from cyber attacks can be contained to a large extent.

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.

Introduction

The integration of Artificial Intelligence into our daily workflows has compelled global policymakers to develop legislative frameworks to govern its impact efficiently. The question that we arrive at here is: While AI is undoubtedly transforming global economies, who governs the transformation? The EU AI Act was the first of its kind legislation to govern Artificial Intelligence, making the EU a pioneer in the emerging technology regulation space. This blog analyses the EU's Draft AI Rules and Code of Practice, exploring their implications for ethics, innovation, and governance.

Background: The Need for AI Regulation

AI adoption has been happening at a rapid pace and is projected to contribute  $15.7 trillion to the global economy by 2030. The AI market size is expected to grow by at least 120% year-over-year. Both of these statistics have been stated in arguments citing concrete examples of AI risks (e.g., bias in recruitment tools, misinformation spread through deepfakes). Unlike the U.S., which relies on sector-specific regulations, the EU proposes a unified framework to address AI's challenges comprehensively, especially with the vacuum that exists in the governance of emerging technologies such as AI. It should be noted that the GDPR or the General Data Protection Regulation has been a success with its global influence on data privacy laws and has started a domino effect for the creation of privacy regulations all over the world. This precedent emphasises the EU's proactive approach towards regulations which are population-centric. 

Overview of the Draft EU AI Rules

This Draft General Purpose AI Code of Practice details the AI rules for the AI Act rules and the providers of general-purpose AI models with systemic risks. The European AI Office facilitated the drawing up of the code, and was chaired by independent experts and involved nearly 1000 stakeholders and EU member state representatives and observers both European and international observers.

14th November 2024 marks the publishing of the first draft of the EU’s General-Purpose AI Code of Practice, established by the EU AI Act. As per Article 56 of the EU AI Act, the code outlines the rules that operationalise the requirements, set out for General-Purpose AI (GPAI) model under Article 53 and GPAI models with systemic risks under Article 55. The AI Act is legislation that finds its base in product safety and relies on setting harmonised standards in order to support compliance. These harmonised standards are essentially sets of operational rules that have been established by the European Standardisation bodies, such as the European Committee for Standardisation (CEN), the European Committee for Electrotechnical Standardisation (CENELEC) and the European Telecommunications Standards Institute. Industry experts, civil society and trade unions are translating the requirements set out by the EU sectoral legislation into the specific mandates set by the European Commission. The AI Act obligates the developers, deployers and users of AI on mandates for transparency, risk management and compliance mechanisms 

The Code of Practice for General Purpose AI

The most popular applications of GPAI include ChatGPT and other foundational models such as CoPilot from Microsoft, BERT  from Google, Llama from Meta AI and many others and they are under constant development and upgradation.  The 36-pages long draft Code of Practice for General Purpose AI is meant to serve as a roadmap for tech companies to comply with the AI Act and avoid paying penalties. It focuses on transparency, copyright compliance, risk assessment, and technical/governance risk mitigation as the core areas for the companies that are developing GPAIs. It also lays down guidelines that look to enable greater transparency on what goes into developing GPAIs. 

The Draft Code's provisions for risk assessment focus on preventing cyber attacks, large-scale discrimination, nuclear and misinformation risks, and the risk of the models acting autonomously without oversight. 

Policy Implications

The EU’s Draft AI Rules and Code of Practice represent a bold step in shaping the governance of general-purpose AI, positioning the EU as a global pioneer in responsible AI regulation. By prioritising harmonised standards, ethical safeguards, and risk mitigation, these rules aim to ensure AI benefits society while addressing its inherent risks. While the code is a welcome step, the compliance burdens on MSMEs and startups could hinder innovation, whereas, the voluntary nature of the Code raises concerns about accountability. Additionally, harmonising these ambitious standards with varying global frameworks, especially in regions like the U.S. and India, presents a significant challenge to achieving a cohesive global approach.

Conclusion

The EU’s initiative to regulate general-purpose AI aligns with its legacy of proactive governance, setting the stage for a transformative approach to balancing innovation with ethical accountability. However, challenges remain. Striking the right balance is crucial to avoid stifling innovation while ensuring robust enforcement and inclusivity for smaller players. Global collaboration is the next frontier. As the EU leads, the world must respond by building bridges between regional regulations and fostering a unified vision for AI governance. This demands active stakeholder engagement, adaptive frameworks, and a shared commitment to addressing emerging challenges in AI. The EU’s Draft AI Rules are not just about regulation, they are about leading a global conversation. 

References

• https://indianexpress.com/article/technology/artificial-intelligence/new-eu-ai-code-of-practice-draft-rules-9671152/ 
• https://digital-strategy.ec.europa.eu/en/policies/ai-code-practice 
• https://www.csis.org/analysis/eu-code-practice-general-purpose-ai-key-takeaways-first-draft#:~:text=Drafting%20of%20the%20Code%20of%20Practice%20is%20taking%20place%20under,the%20drafting%20of%20the%20code. 
• https://copyrightblog.kluweriplaw.com/2024/12/16/first-draft-of-the-general-purpose-ai-code-of-practice-has-been-released/