#FactCheck: Viral video claims BSF personnel thrashing a person selling Bangladesh National Flag in West Bengal

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

India's National Commission for Protection of Child Rights (NCPCR) is set to approach the Ministry of Electronics and Information Technology (MeitY) to recommend mandating a KYC-based system for verifying children's age under the Digital Personal Data Protection (DPDP) Act. The decision to approach or send recommendations to MeitY was taken by NCPCR in a closed-door meeting held on August 13 with social media entities. In the meeting, NCPCR emphasised proposing a KYC-based age verification mechanism. In this background, Section 9 of the Digital Personal Data Protection Act, 2023 defines a child as someone below the age of 18, and Section 9 mandates that such children have to be verified and parental consent will be required before processing their personal data.

Requirement of Verifiable Consent Under Section 9 of DPDP Act

Regarding the processing of children's personal data, Section 9 of the DPDP Act, 2023, provides that for children below 18 years of age, consent from parents/legal guardians is required. The Data Fiduciary shall, before processing any personal data of a child or a person with a disability who has a lawful guardian, obtain verifiable consent from the parent or lawful guardian. Additionally, behavioural monitoring or targeted advertising directed at children is prohibited. 

Ongoing debate on Method to obtain Verifiable Consent

Section 9 of the DPDP Act gives parents or lawful guardians more control over their children's data and privacy, and it empowers them to make decisions about how to manage their children's online activities/permissions. However, obtaining such verifiable consent from the parent or legal guardian presents a quandary. It was expected that the upcoming 'DPDP rules,' which have yet to be notified by the Central Government, would shed light on the procedure of obtaining such verifiable consent from a parent or lawful guardian.

However, In the meeting held on 18th July 2024, between MeitY and social media companies to discuss the upcoming Digital Personal Data Protection Rules (DPDP Rules), MeitY stated that it may not intend to prescribe a ‘specific mechanism’ for Data Fiduciaries to verify parental consent for minors using digital services. MeitY instead emphasised obligations put forth on the data fiduciary under section 8(4) of the DPDP Act to implement “appropriate technical and organisational measures” to ensure effective observance of the provisions contained under this act. 

In a recent update, MeitY held a review meeting on DPDP rules, where they focused on a method for determining children's ages. It was reported that the ministry is making a few more revisions before releasing the guidelines for public input.

CyberPeace Policy Outlook

CyberPeace in its policy recommendations paper published last month, (available here) also advised obtaining verifiable parental consent through methods such as Government Issued ID, integration of parental consent at ‘entry points’ like app stores,  obtaining consent through consent forms, or drawing attention from foreign laws such as California Privacy Law, COPPA, and developing child-friendly SIMs for enhanced child privacy.

CyberPeace in its policy paper also emphasised that when deciding the method to obtain verifiable consent, the respective platforms need to be aligned with the fact that verifiable age verification must be done without compromising user privacy. Balancing user privacy is a question of both technological capabilities and ethical considerations. 

DPDP Act is a brand new framework for protecting digital personal data and also puts forth certain obligations on Data Fiduciaries and provides certain rights to Data Principal. With upcoming ‘DPDP Rules’ which are expected to be notified soon, will define the detailed procedure for the implementation of the provisions of the Act. MeitY is refining the DPDP rules before they come out for public consultation. The approach of NCPCR is aimed at ensuring child safety in this digital era. We hope that MeitY comes up with a sound mechanism for obtaining verifiable consent from parents/lawful guardians after taking due consideration to recommendations put forth by various stakeholders, expert organisations and concerned authorities such as NCPCR. 

References

1. https://www.moneycontrol.com/technology/dpdp-rules-ncpcr-to-recommend-meity-to-bring-in-kyc-based-age-verification-for-children-article-12801563.html
2. https://pune.news/government/ncpcr-pushes-for-kyc-based-age-verification-in-digital-data-protection-a-new-era-for-child-safety-215989/#:~:text=During%20this%20meeting%2C%20NCPCR%20issued,consent%20before%20processing%20their%20data
3. https://www.hindustantimes.com/india-news/ncpcr-likely-to-seek-clause-for-parents-consent-under-data-protection-rules-101724180521788.html
4. https://www.drishtiias.com/daily-updates/daily-news-analysis/dpdp-act-2023-and-the-isssue-of-parental-consent

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The Equitable Growth Approach of AI and Digital Twins

Digital Twins can be simply described as virtual replicas of physical assets or systems, powered by real-time data and advanced simulations. When this technology is combined with AI, the impact it has on enabling real-time monitoring, predictive maintenance, optimised operations, and improved design processes through the creation of virtual replicas of physical assets becomes even greater.  The greatest value of AI is its ability to make data actionable. And when combined with digital twins, these data can be collated, analysed, inefficiencies removed, and better decisions can be taken to improve efficiency and quality. 

This intersection between AI and Digital Twins holds immense potential for addressing key challenges, particularly in countries like India, which is rapidly embracing digital adoption to achieve its economic ambitions and sustainability goals. According to Salesforce’s most recent survey on generative AI use among the general population within the U.S., UK, Australia and India, 75% of generative AI users are looking to automate repetitive tasks and use generative AI for work communications. India is particularly looking towards a rapid digital adoption, economic ambitions, and sustainable developments to be achieved through AI adoption. This blog discuss the intersection of equitable growth, sustainability, and AI-driven policies in India.

Sustainability and the Path Ahead: Digital Twin and AI-Driven Solutions 

India faces sustainability challenges which are mainly associated with issues such as urban congestion, the rising demand for energy along with climate change and environmental degradation. AI and Digital Twins provide solutions for real-time simulations and predictive analysis. Some of the examples are its applications in sustainable urban planning such as smart cities like the Indore Smart City Initiative and traffic optimisation, energy efficiency/optimisation through AI-driven renewable energy projects and power grid optimisation and even water resource management through leak detection, equitable distribution and conservation.

The need is to balance innovation with regulation, particularly, underscoring the importance of ethical and sustainable deployment of AI and digital twins and addressing data privacy with AI ethics with recent developments such as the India’s evolving AI policy landscape, including the National Strategy for Artificial Intelligence and its focus on AI for All, regulatory frameworks such as  DPDP Act and the manner in which they address AI ethics, data privacy, and digital governance.

The need is to initiate targeted policies that promote research and development in AI and digital twin technologies, skill development and partnerships with the private sector, think tanks, nonprofits and others. Also, collaborations at the global level would include aligning our domestic policies with global AI and sustainability initiatives and leveraging the international frameworks for climate tech and smart infrastructure. 

Cyberpeace Outlook

As part of specific actions, policymakers need to engage in proactive governance to ensure the responsible use and development of AI. This includes enacting incentive schemes for sustainable AI projects and strengthening the enforcement of data privacy laws. Industry leaders must support equitable access to AI and digital twin technologies and develop tailored AI tools for resource-constrained settings, particularly in India. Finally, researchers need to drive innovation in alignment with sustainability goals, such as those related to agriculture and groundwater management.

References

• https://economictimes.indiatimes.com/tech/artificial-intelligence/technologies-like-ai-and-digital-twins-can-tackle-challenges-like-equitable-growth-to-sustainability-wef/articleshow/117121897.cms 
• https://www.salesforce.com/news/stories/generative-ai-statistics/
• https://www.mdpi.com/2673-2688/4/3/38 ‍
• https://www.ibm.com/think/topics/generative-ai-for-digital-twin-energy-utilities