DPDP Bill 2023 A Comparative Analysis

Introduction

As technology advances, global connectivity becomes increasingly vital. Meta's "Project Waterworth" once completed, will reach five major continents and span over 50,000 km, making it the world’s longest subsea cable project using the highest-capacity technology available. This project is expected to bring industry-leading connectivity to the U.S., India, Brazil, South Africa, and other key regions. It will enable greater economic cooperation, facilitate digital inclusion, and open opportunities for technological development in these regions. 

In India, a project such as this will help accelerate this progress and support the country’s ambitious plans for its digital economy in cohesion with the significant growth and investment in digital infrastructure that is already underway. Subsea cable projects, such as Project Waterworth, are the backbone of global digital infrastructure, accounting for more than 95% of intercontinental traffic across the world’s oceans to seamlessly enable digital communication, video experiences, online transactions, and more.

Enhancing India's Digital Infrastructure

A subsea cable, or submarine cable, enhances global internet speed and reliability by carrying massive data volumes across ocean floors, connecting countries and continents. Compared to satellites, these cables offer greater stability and minimal disruptions.

Project Waterworth aims to build the world's longest 24-fibre pair cable, improving resilience and deployment speed. The project is expected to prevent the damages in high-risk areas, through the use of innovative routing with maximising deep-water placement (up to 7,000 meters) and enhanced burial techniques. This project will play a crucial role in the advancement of AI and emerging technologies, ensuring widespread access to their benefits in India.

CyberPeace Takeaways

The said project has the potential to have manifold implications ranging from economic and policy to India-US relations, data privacy and security concerns emerging from the increase in the data flows and others. A segregated list of takeaways is as follows:

1. Economic and policy implications: The project can lead to economic growth as it has the potential for job creation, and investment opportunities and can lead to positioning India as a digital hub globally. The creation of regulatory frameworks that can support and secure a large-scale infrastructure project such as this is necessary.
2. India- US Relations: This project will align with the commitments that were made in the US-India joint statement on undersea technology collaboration and strengthen them. It will further serve as a model for future collaborations between the nations’ tech entities. 
3. Concerns for Data Privacy and Security: A robust cybersecurity mechanism which can combat the potential risks associated with the increased data flows is required. The concerned authorities need to be vigilant in monitoring and ensuring compliance with the applicable data protection standards set such as the IT Act of 2000, the DPDP Act of 2023 and its rules(once finalised). 

Conclusion

India has been provided with a transformative opportunity to bolster its digital landscape by the advent of Project Waterworth. The enhancement of internet speed, stability, and capacity, will strengthen the country’s digital infrastructure and support economic growth. This project is also projected to accelerate AI-driven advancements in India. Moreover, this technological collaboration between India-US will strengthen their relations and set the stage for India to negotiate future global partnerships. A well-defined regulatory framework and strong cybersecurity measures will be crucial to proactively address data privacy, security, and governance challenges to ensure safe and equitable digital progress. As India continues its rapid digital expansion, engaging in informed discussions, policy planning, and strategic investments will be key to maximise Project Waterworth’s impact and propel India toward a more connected, innovative, and resilient digital future.

References

• https://techcrunch.com/2025/02/14/meta-confirms-project-waterworth-a-global-subsea-cable-project-spanning-50000km/?utm_source=chatgpt.com‍
• https://engineering.fb.com/2025/02/14/connectivity/project-waterworth-ai-subsea-infrastructure/

The race for global leadership in AI is in full force. As China and the US emerge as the ‘AI Superpowers’ in the world, the world grapples with the questions around AI governance, ethics, regulation, and safety. Some are calling this an ‘AI Arms Race.’ Most of the applications of these AI systems are in large language models for commercial use or military applications. Countries like Germany, Japan, France, Singapore, and India are now participating in this race and are not mere spectators. 

The Government of India’s Ministry of Electronics and Information Technology (MeitY) has launched the IndiaAI Mission, an umbrella program for the use and development of AI technology. This MeitY initiative lays the groundwork for supporting an array of AI goals for the country. The government has allocated INR 10,300 crore for this endeavour. This mission includes pivotal initiatives like the IndiaAI Compute Capacity, IndiaAI Innovation Centre (IAIC), IndiaAI Datasets Platform, IndiaAI Application Development Initiative, IndiaAI FutureSkills, IndiaAI Startup Financing, and Safe & Trusted AI.

There are several challenges and opportunities that India will have to navigate and capitalize on to become a significant player in the global AI race. The various components of India’s ‘AI Stack’ will have to work well in tandem to create a robust ecosystem that yields globally competitive results. The IndiaAI mission focuses on building large language models in vernacular languages and developing compute infrastructure. There must be more focus on developing good datasets and research as well.

Resource Allocation and Infrastructure Development

The government is focusing on building the elementary foundation for AI competitiveness. This includes the procurement of AI chips and compute capacity, about 10,000 graphics processing units (GPUs), to support India’s start-ups, researchers, and academics. These GPUs have been strategically distributed, with 70% being high-end newer models and the remaining 30% comprising lower-end older-generation models. This approach ensures that a robust ecosystem is built, which includes everything from cutting-edge research to more routine applications. A major player in this initiative is Yotta Data Services, which holds the largest share of 9,216 GPUs, including 8,192 Nvidia H100s. Other significant contributors include Amazon AWS's managed service providers, Jio Platforms, and CtrlS Datacenters. 

Policy Implications: Charting a Course for Tech Sovereignty and Self-reliance

With this government initiative, there is a concerted effort to develop indigenous AI models and reduce tech dependence on foreign players. There is a push to develop local Large Language Models and domain-specific foundational models, creating AI solutions that are truly Indian in nature and application. Many advanced chip manufacturing takes place in Taiwan, which has a looming China threat. India’s focus on chip procurement and GPUs speaks to a larger agenda of self-reliance and sovereignty, keeping in mind the geopolitical calculus. This is an important thing to focus on, however, it must not come at the cost of developing the technological ‘know-how’ and research. 

Developing AI capabilities at home also has national security implications. When it comes to defence systems, control over AI infrastructure and data becomes extremely important. The IndiaAI Mission will focus on safe and trusted AI, including developing frameworks that fit the Indian context. It has to be ensured that AI applications align with India's security interests and can be confidently deployed in sensitive defence applications.

The big problem here to solve here is the ‘data problem.’ There must be a focus on developing strategies to mitigate the data problem that disadvantages the Indian AI ecosystem. Some data problems are unique to India, such as generating data in local languages. While other problems are the ones that appear in every AI ecosystem development lifecycle namely generating publicly available data and licensed data. India must strengthen its ‘Digital Public Infrastructure’ and data commons across sectors and domains.

India has proposed setting up the India Data Management Office to serve as India’s data regulator as part of its draft National Data Governance Framework Policy. The MeitY IndiaAI expert working group report also talked about operationalizing the India Datasets Platform and suggested the establishment of data management units within each ministry.

Economic Impact: Growth and Innovation

The government’s focus on technology and industry has far-reaching economic implications. There is a push to develop the AI startup ecosystem in the country. The IndiaAI mission heavily focuses on inviting ideas and projects under its ambit. The investments will strengthen the IndiaAI startup financing system, making it easier for nascent AI businesses to obtain capital and accelerate their development from product to market. Funding provisions for industry-led AI initiatives that promote social impact and stimulate innovation and entrepreneurship are also included in the plan. The government press release states, "The overarching aim of this financial outlay is to ensure a structured implementation of the IndiaAI Mission through a public-private partnership model aimed at nurturing India’s AI innovation ecosystem.”

The government also wants to establish India as a hub for sustainable AI innovation and attract top AI talent from across the globe. One crucial aspect that needs to be worked on here is fostering talent and skill development. India has a unique advantage, that is, top-tier talent in STEM fields. Yet we suffer from a severe talent gap that needs to be addressed on a priority basis. Even though India is making strides in nurturing AI talents, out-migration of tech talent is still a reality. Once the hardware manufacturing “goods-side” of economics transitions to service delivery in the field of AI globally, India will need to be ready to deploy its talent. Several structural and policy interfaces, like the New Education Policy and industry-academic partnership frameworks, allow India to capitalize on this opportunity. 

India’s talent strategy must be robust and long-term, focusing heavily on multi-stakeholder engagement. The government has a pivotal role here by creating industry-academia interfaces and enabling tech hubs and innovation parks.

India's Position in the Global AI Race

India’s foreign policy and geopolitical standpoint have been one of global cooperation. This must not change when it comes to AI. Even though this has been dubbed as the “AI Arms Race,” India should encourage worldwide collaboration on AI R&D through collaboration with other countries in order to strengthen its own capabilities. India must prioritise more significant open-source AI development, work with the US, Europe, Australia, Japan, and other friendly countries to prevent the unethical use of AI and contribute to the formation of a global consensus on the boundaries for AI development. 

The IndiaAI Mission will have far-reaching implications for India’s diplomatic and economic relations. The unique proposition that India comes with is its ethos of inclusivity, ethics, regulation, and safety from the get-go. We should keep up the efforts to create a powerful voice for the Global South in AI. The IndiaAI Mission marks a pivotal moment in India's technological journey. Its success could not only elevate India's status as a tech leader but also serve as a model for other nations looking to harness the power of AI for national development and global competitiveness. In conclusion, the IndiaAI Mission seeks to strengthen India's position as a global leader in AI, promote technological independence, guarantee the ethical and responsible application of AI, and democratise the advantages of AI at all societal levels.

References

• ​​Ashwini Vaishnaw to launch IndiaAI portal, 10 firms to provide 14,000 GPUs. (2025, February 17). https://www.business-standard.com/. Retrieved February 25, 2025, from https://www.business-standard.com/industry/news/indiaai-compute-portal-ashwini-vaishnaw-gpu-artificial-intelligence-jio-125021700245_1.html
• Global IndiaAI Summit 2024 being organized with a commitment to advance responsible development, deployment and adoption of AI in the country. (n.d.). https://pib.gov.in/PressReleaseIframePage.aspx?PRID=2029841
• India to Launch AI Compute Portal, 10 Firms to Supply 14,000 GPUs. (2025, February 17). apacnewsnetwork.com. https://apacnewsnetwork.com/2025/02/india-to-launch-ai-compute-portal-10-firms-to-supply-14000-gpus/
• INDIAai | Pillars. (n.d.). IndiaAI. https://indiaai.gov.in/
• IndiaAI Innovation Challenge 2024 | Software Technology Park of India | Ministry of Electronics & Information Technology Government of India. (n.d.). http://stpi.in/en/events/indiaai-innovation-challenge-2024
• IndiaAI Mission To Deploy 14,000 GPUs For Compute Capacity, Starts Subsidy Plan. (2025, February 17). www.businessworld.in. Retrieved February 25, 2025, from https://www.businessworld.in/article/indiaai-mission-to-deploy-14000-gpus-for-compute-capacity-starts-subsidy-plan-548253
• India’s interesting AI initiatives in 2024: AI landscape in India. (n.d.). IndiaAI. https://indiaai.gov.in/article/india-s-interesting-ai-initiatives-in-2024-ai-landscape-in-india
• Mehra, P. (2025, February 17). Yotta joins India AI Mission to provide advanced GPU, AI cloud services. Techcircle. https://www.techcircle.in/2025/02/17/yotta-joins-india-ai-mission-to-provide-advanced-gpu-ai-cloud-services/
• IndiaAI 2023: Expert Group Report – First Edition. (n.d.). IndiaAI. https://indiaai.gov.in/news/indiaai-2023-expert-group-report-first-edition
• Satish, R., Mahindru, T., World Economic Forum, Microsoft, Butterfield, K. F., Sarkar, A., Roy, A., Kumar, R., Sethi, A., Ravindran, B., Marchant, G., Google, Havens, J., Srichandra (IEEE), Vatsa, M., Goenka, S., Anandan, P., Panicker, R., Srivatsa, R., . . . Kumar, R. (2021). Approach Document for India. In World Economic Forum Centre for the Fourth Industrial Revolution, Approach Document for India [Report]. https://www.niti.gov.in/sites/default/files/2021-02/Responsible-AI-22022021.pdf
• Stratton, J. (2023, August 10). Those who solve the data dilemma will win the A.I. revolution. Fortune. https://fortune.com/2023/08/10/workday-data-ai-revolution/
• Suri, A. (n.d.). The missing pieces in India’s AI puzzle: talent, data, and R&D. Carnegie Endowment for International Peace. https://carnegieendowment.org/research/2025/02/the-missing-pieces-in-indias-ai-puzzle-talent-data-and-randd?lang=en
• The AI arms race. (2024, February 13). Financial Times. https://www.ft.com/content/21eb5996-89a3-11e8-bf9e-8771d5404543

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Introduction:

Welcome to the third edition of our blog on digital forensics series. In our previous blog we discussed the difference between copying, cloning, and imaging in the context of Digital Forensics, and found out why imaging is a better process. Today we will discuss the process of evidence collection in Digital Forensics. The whole process starts with making sure the evidence collection team has all necessary tools required for the task.

Investigating Tools and Equipment:

Below are some mentioned tools that the team should carry with them for a successful evidence collection:

• Anti-static bags
• Faraday bags
• Toolkit having screwdrivers(nonmagnetic), scissors, pins, cutters, forceps, clips etc.
• Rubber gloves
• Incident response toolkit (Software)
• Converter/Adapter: USB, SATA, IDE, SCSI
• Imaging software
• Volatile data collection tools (FTK Imager, Magnet Forensics RAM Capture)
• Pens, permanent markers
• Storage containers
• Batteries
• Video cameras
• Note/sketch pads
• Blank storage media
• Write-Blocker device
• Labels
• Crime scene security tapes
• Camera

What sources of Data are necessary for Digital Evidence?

• Hard-Drive (Desktop, Laptop, External, Server)
• Flash Drive
• SD Cards
• Floppy Disks
• Optical Media (CD, DVD)
• CCTV/DVR
• Internal Storage of Mobile Device
• GPS (Mobile/Car)
• Call Site Track (Towers)
• RAM

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Evidence Collection

The investigators encounter two primary types of evidence during the course of gathering evidence: non-electronic and electronic evidence.

The following approaches could be used to gather non-electronic evidence:

• In the course of looking into electronic crimes, recovering non-electronic evidence can be extremely important.  Be cautious to make sure that this kind of evidence is retrieved and kept safe. Items that may be relevant to a later review of electronic evidence include passwords, papers or printouts, calendars, literature, hardware and software manuals, text or graphical computer printouts, and photos.  These items should be secured and kept for further examination.
• They are frequently found close to the computer or other related hardware.  Locating, securing, and preserving all evidence is required by departmental procedures.

Three scenarios arise for the collection of digital evidence from computers: 

Situation 1: The desktop is visible, and the monitor is on.

• Take a picture of the screen and note the data that is visible. 
• Utilize tools for memory capturing to gather volatile data.
• Look for virtual disks. If so, gather mounted data's logical copies.
• Give each port and connection a label.
• Take a picture of them.
• Turn off network access to stop remote access.
• Cut off the power or turn it off.
• Locate and disconnect the hard drive by opening the CPU chassis.
• Take all evidence and place it in anti-magnetic (Faraday) bags.
• Deliver the evidence to the forensic lab.
• Keep the chain of custody intact.

Situation 2: The monitor is turned on, but it either has a blank screen (sleep mode) or an image for the screensaver.

• Make a small mouse movement (without pressing buttons). The work product should appear on the screen, or it should ask for a password.
• If moving the mouse does not result in a change to the screen, stop using the mouse and stop all keystrokes.
• Take a picture of the screen and note the data that is visible.
• Use memory capturing tools to gather volatile data (always use a write blocker to prevent manipulation during data collection).
• Proceed further in accordance with Situation 1.

Situation 3: The Monitor Is Off

• Write down the "off" status.
• After turning on the monitor, check to see if its status matches that of situations 1 or 2 above, and then take the appropriate action.
• Using a phone modem, cable, confirm that you are connected to the outside world. Try to find the phone number if there is a connection to the phone.
• To protect evidence, take out the floppy disks that might be there, package each disk separately, and label the evidence.  Put in a blank floppy disk or a seizure disk, if one is available. Avoid touching the CD drive or taking out CDs.
• Cover the power connector and every drive slot with tape.
• Note the serial number, make, and model.
• Take a picture of the computer's connections and make a diagram with the relevant cables.
• To enable precise reassembly at a later date, label all connectors and cable ends, including connections to peripheral devices. Put "unused" on any connection ports that are not in use.  Recognize docking stations for laptop computers in an attempt to locate additional storage media.
• All evidence should be seized and placed in anti-magnetic (Faraday) bags.
• All evidence should be seized and placed in anti-magnetic (Faraday) bags.
• Put a tag or label on every bag.
• Deliver the evidence to the forensic lab.
• Keep the chain of custody intact. 

Following the effective gathering of data, the following steps in the process are crucial: data packaging, data transportation, and data storage.

The following are the steps involved in data packaging, transportation, and storage:

Packaging:

• Label every computer system that is gathered so that it can be put back together exactly as it was found

When gathering evidence at a scene of crime,

• Before packing, make sure that every piece of evidence has been appropriately  labeled and documented.
• Latent or trace evidence requires particular attention, and steps should be taken to preserve it.
• Use paper or antistatic plastic bags for packing magnetic media to prevent static electricity. Do not use materials like regular plastic bags (instead use faraday bags) that can cause static electricity. 
• Be careful not to bend, fold, computer media like tapes, or CD-ROM.
• Make sure that the labels on every container used to store evidence are correct.

Transporting

• Make sure devices are not packed in containers and are safely fastened inside the car to avoid shock and excessive vibrations. Computers could be positioned on the floor of the car,and monitors could be mounted on the seat with the screen down .

When transporting evidence—

• Any electronic evidence should be kept away from magnetic sources.  Radiation transmitters, speaker magnets, and heated seats are a few examples of items that can contaminate electronic evidence.
• Avoid leaving electronic evidence in your car for longer than necessary. Electronic devices can be harmed by extremes in temperature, humidity.
• Maintain the integrity of the chain of custody while transporting any evidence.

Storing

• Evidence should be kept safe and away from extremes in humidity and temperature. Keep it away from dust, moisture, magnetic devices, and other dangerous impurities.  Be advised that extended storage may cause important evidence—like dates, times, and system configurations—to disappear. Because batteries have a finite lifespan, data loss may occur if they malfunction. Whenever the battery operated device needs immediate attention, it should be informed to the relevant authority (eg., the chief of laboratory, the forensic examiner, and the custodian of the evidence). 

CONCLUSION:

Thus, securing the crime scene to packaging, transportation and storage of data are the important steps in the process of collecting digital evidence in forensic investigations. Keeping the authenticity during the process along with their provenance is critical during this phase. It is also important to ensure the admissibility of evidence in legal proceedings. This systematic approach is essential for effectively investigating and prosecuting digital crimes.

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