Indias Digital Governance & Sanchar Saathi Debate Privacy vs Security

Machine learning refers to the ability of such systems to progressively improve their own performance by analyzing large volumes of data, rather than through human programming. These technologies present opportunities for development of the digital economy, such as through improved credit scoring that supports financial inclusion, or better fraud detection. However, these systems use vast amounts of data, and it may be difficult or impossible to know what data is being processed, how it is being processed, or how decisions are generated about individuals.

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A new Chapter "Free flow of non-personal data in the Union" codifies the prohibition of unjustified non-personal data localisation, formerly covered under the partially superseded and to be repealed Free Flow of Non-personal Data Regulation. Public sector bodies may now set higher fees and special conditions for very large enterprises. The European Data Innovation Board (EDIB) is integrated to coordinate consistent application, interoperability, and data space governance. On 19 November 2025, the European Commission published the long-awaited Digital Omnibus, an initiative to streamline and update key pillars of the EU's digital legal framework – especially the Data Act, the General Data Protection Regulation and the AI Act. The main drivers behind this initiative were the need to simplify overlapping regulations, reduce compliance burdens for businesses, and ensure greater legal clarity across the European Union.

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For example, they can prevent users from accessing specific assets, so they can avoid any legal issues that could come from unauthorized usage. It describes consumer rights and data protection requirements for businesses, including privacy notices, opt-in consent and data impact assessments. The Indiana Consumer Data Protection Act, which goes into effect Jan. 1, 2026, outlines consumer rights and requirements for data protection, including data access, correction and deletion, and the ability to opt out of targeted advertising. Conformity assessment procedures are streamlined by allowing conformity assessment bodies to submit a single application and undergo a single assessment procedure to be designated under the AI Act and relevant Union harmonisation legislation. In addition, certain Notified Bodies that are already notified under sector-specific EU law may, for a transitional period, be permitted to temporarily carry out conformity assessments for high-risk AI systems until they obtain formal designation under the AI Act. Additional adjustments ease registration requirements for certain narrow-task high-risk AI systems – while maintaining robust internal documentation – and replace mandatory templates for post-market monitoring with Commission guidance.

GDPR: Modernising privacy rules for the digital age5

For businesses, this is an opportunity to strengthen trust and future-proof operations. Start with gap assessments and policy updates, then deploy consent management systems and automate rights management. Over time, embed Privacy-by-Design principles, conduct DPIAs and establish governance frameworks that make privacy integral to decision-making.The DPDP Rules represent a commitment to trust, transparency and accountability in India’s digital economy.

• A data protection framework can also increase confidence that government uses of personal data will not result in unwarranted surveillance, profiling, or other discrimination.
• SMEs form the backbone of Kenya’seconomy, and they’re often the fastest adopters of new digital tools whenaccess improves.
• Data sovereignty, on the other hand, ensures that data adheres to laws based on its geographical location, which has significant legal implications.
• Similar to an MDM solution but for laptops, work lives in a company-controlled Secure Enclave installed on the user’s PC or Mac, where all data is encrypted and access is managed.
• For instance, data privacy might involve understanding data inventory and handling procedures, while data protection includes using encryption and access control systems to ensure data security.

Here are some of the roles typically responsible for data protection in modern organizations. Leveraging the right technologies can significantly strengthen data protection and enhance an organization’s overall security posture. Consumers are largely unaware of how their data is being managed and shared and left wondering if their data is safe. Businesses must build trust among consumers by ensuring data privacy consent agreements are in plain language and a consumable length, giving consumers a complete 360-degree view of their information and offering consumers an easy opt-out option for their data being used. "Personal data shall be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed."

Once a purpose has been specified, many frameworks require that processing of personal data be limited only to what is necessary to achieve the specified purpose, sometimes referred to as the proportionality principle. However, some frameworks do not go quite this far, requiring only that processing not be “excessive” or merely that it be “relevant” to the specified purpose. For example, an employer might need to retain detailed medical information on employees engaged in hazardous factory work in case of an accident, but might not require such data from its administrative staff in an office situated elsewhere. A strong data protection framework provides certainty which may encourage investment, competition and innovation in the digital economy and uptake of digital government and private sector services. When organisations depend heavily on infrastructure located farbeyond their operational environments, they extend their exposure acrossmultiple networks and jurisdictions. This isn’t to say that global platformsare less secure, but local infrastructure makes matters less complex, givinginstitutions more control over how services are delivered and how risks aremanaged within national regulatory frameworks.

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Endpoint and mobile data protection focus on securing data stored and accessed on laptops, smartphones, tablets, and other user devices. These solutions address risks such as lost or stolen devices, malware infections, and unauthorized app usage. Common controls include full-disk encryption, device management, remote wipe capabilities, and application whitelisting. Modern solutions offer continuous or scheduled backups with features for deduplication, encryption, and quick restores at scale. Backup platforms often integrate with data classification tools to prioritize sensitive data and meet retention requirements set by regulations. Backup and recovery strategies reduce downtime, financial losses, and legal exposure resulting from data loss events.

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• Conventional money requires many intermediaries in the payment chain, resulting in less efficient and secure payment experiences, as we showed in our recent TechDispatch.
• Under the new ordinances, every citizen has been recognised as the rightful owner of their personal data, making their explicit consent mandatory before collection, storage, transfer, or use of any data.
• EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity.
• This principle requires organizations to define and document the reasons for collecting data, and to avoid using that data for unrelated activities without further consent.
• Least-privilege access structures are central to any defense-in-depth data protection strategy.
• In some cases, combining techniques may be necessary to achieve the optimal balance between privacy and utility.

Only collect, retain and share data as needed to run the business, design systems with data privacy in mind and implement policy-based intelligent automation. Data security plays a vital role in regulatory compliance and business governance, safeguarding data against theft, corruption, improper alteration https://www.fileoasis.com/72458/screenshot-privacy-drive-portable.html or unauthorized access throughout the entire data lifecycle. Data protection is the process of safeguarding data and restoring important information in the event that the data is corrupted, compromised or lost due to cyberattacks, shutdowns, intentional harm or human error. It embraces the technologies, practices, processes and workflows that ensure rightful access to data, so the data is available when it's needed. The proposal ensures to maintain robust standards of data protection and respects the GDPR risk-based approach. The Commission has provided funding to national data protection authorities to finance projects that support the implementation of the GDPR.

As founder of Ethyca, Cillian is pioneering automated approaches to data privacy and governance. His work with global enterprises like Heineken, Sony, and Dell has shaped Ethyca's mission to make privacy engineering accessible and scalable. Under his leadership, Ethyca has developed breakthrough open-source privacy tools that help organizations automate compliance and build user trust programmatically. Since data taken for various purposes could be combined, this could allow profiling of citizens. On the other hand, if consent were required, individuals would have the autonomy and control over collection and sharing of their personal data. The draft proposes to repeal the Platform to Business (P2B) Regulation7 on promoting fairness and transparency for business users of online intermediation services, in two phases.