Data Security: A New Pillar of Internal Security in the Digital Age
- Mohan Krishna
- Jan 2
- 3 min read
In today’s hyper-connected digital ecosystem, data has emerged as one of the most valuable strategic assets, often described as the new oil. From governance platforms like Aadhaar and DigiLocker to financial systems like UPI and digital banking, India’s digital transformation is unprecedented. However, this rapid digitisation has also made data security a critical national concern, directly impacting internal security, economic stability, governance, and individual rights.
For UPSC aspirants, data security is no longer just a technology topic. It lies at the intersection of GS Paper III (Internal Security, Science & Technology), Ethics, Essay, and even Interview discussions.
"Data is the new oil, but data leaks are the new environmental disasters."
What is Data and Data Security?
Understanding Data
Data refers to raw facts that can be processed to derive meaningful information. It includes:
Personal Data – Name, address, phone number
Sensitive Personal Data – Health records, biometrics, financial details
Critical Data – Defence information, nuclear assets, power grids
What is Data Security?
Data Security refers to protecting digital data from unauthorised access, breaches, corruption, or theft throughout its lifecycle, from collection to deletion.
Data Security vs Cyber Security
While often used interchangeably, the two are distinct:
Data Security | Cyber Security |
Protects data | Protects systems & networks |
Focus on encryption, access control | Firewalls, malware protection |
Legal + technical approach | Largely technical |
UPSC Insight: Data Security is a subset of Cyber Security.
Why is Data Security Important?
1. National Security
Protection of defence databases and intelligence inputs
Safeguarding Critical Information Infrastructure (CII) such as power grids and nuclear installations
2. Economic Security
Prevention of banking frauds and financial cybercrimes
Protection against IP theft and corporate espionage
3. Governance and Public Trust
Digital platforms like Aadhaar, CoWIN, DigiLocker, and UPI rely heavily on secure data
Data breaches erode citizens’ trust in e-governance
4. Individual Rights
Right to Privacy recognised under Article 21 (Puttaswamy Judgment, 2017)
Data misuse can lead to profiling, surveillance, and discrimination

Types of Data and Associated Security Risks
Data Lifecycle Risks
Data faces vulnerabilities at every stage:
Collection
Storage
Processing
Transmission
Deletion
Major Threats
Data breaches
Ransomware attacks
Insider threats
Phishing and social engineering
Cloud security vulnerabilities
Examples: Aadhaar data leaks, Facebook–Cambridge Analytica scandal
Mechanisms to Ensure Data Security
1. Technical Measures
Encryption (data at rest & in transit)
Strong authentication and access control
Data masking and anonymisation
Secure and regular backups
2. Administrative Measures
Data classification policies
Role-based access systems
Periodic security audits
Incident response mechanisms
3. Legal Measures
Data protection laws
Penalties for breaches
Accountability of data fiduciaries
Constitutional Basis
Article 21 – Right to Privacy (Justice K.S. Puttaswamy Case)
Information Technology Act, 2000
Section 43 – Damage to computer systems
Section 66 – Computer-related offences
Section 72 – Breach of confidentiality
Digital Personal Data Protection (DPDP) Act, 2023
Key features include:
Consent-based data processing
Rights of the Data Principal
Obligations of Data Fiduciaries
Establishment of the Data Protection Board of India
Penalties up to ₹250 crore
Institutional Mechanisms
CERT-In – Incident response
NCIIPC – Protection of Critical Information Infrastructure
MeitY – Policy formulation and regulation
Global Perspective: GDPR and Beyond
GDPR (European Union)
Strict consent norms
Right to be forgotten
Heavy financial penalties
India vs GDPR
Aspect | GDPR | DPDP Act |
Data localisation | No | Partial |
Penalties | Very high | High |
Independent regulator | Yes | Yes |
Global Concerns
Cross-border data flows
Big Tech dominance
Emerging concept of data colonialism
Challenges in Data Security
Technological Challenges
AI-driven data misuse
Quantum computing threats to encryption
Overdependence on cloud platforms
Governance Challenges
Low cyber awareness
Institutional capacity gaps
Inter-agency coordination issues
Ethical Challenges
Mass surveillance
Citizen profiling
Balancing national security with privacy
Ethics Paper Link: Data security vs individual autonomy
Way Forward
Privacy-by-design digital architecture
Strong enforcement of DPDP Act, 2023
Capacity building within government institutions
Public awareness and digital literacy
Enhanced international cooperation on cyber norms








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