The 26/11 attacks in 2008 exposed gaps in intelligence coordination, prompting the creation of NATGRID to integrate data across security agencies.
The Trigger for the Creation of NATGRID
- Intelligence Failure in 26/11 Mumbai Attacks: High-level inquiry reports and parliamentary material revealed lapses in responding to intelligence alerts.
- For example, the terrorist David Coleman Headley, a key conspirator of the 26/11 attacks, used credit cards and booked flights, but no single agency could see all his data at once.
- The failure lay in not connecting scattered inputs into a coherent threat warning.
About NATGRID
- Refers: NATGRID is a real-time integrated intelligence platform under the Ministry of Home Affairs that links multiple government and private databases for secure access by authorised security and law-enforcement agencies to counter terrorism and organised crime.
- Middleware platform: NATGRID was designed as a middleware platform enabling integrated searches across multiple databases.
- It allows pattern recognition to flag suspicious activity instantly.
- Agencies and Data Categories Covered: Eleven central agencies can query data across 21 categories, including identity, travel, financial, telecom, and asset records.
- Operational Reality: NATGRID processes around 45,000 requests per month, indicating active operational use.
The Legal Void- Executive Order vs Act of Parliament
- Dec 2009: First proposed by then Home Minister P. Chidambaram.
- Feb 2010: “Big Brother” fears raised by other Ministers.
- Approval Without Parliamentary Law: NATGRID was cleared in 2012 by executive order and the Cabinet Committee on Security (CCS).
- It was not enacted through an Act of Parliament despite its massive surveillance scope.
- Absence of Independent Oversight: There is no statutory authority for external audits or judicial pre-approval of data access.
Evolution of NATGRID
- Expansion of Usage: States were asked to scale up NATGRID usage after a 2025 DGP conference. Access to NATGRID now extends to police officers at the Superintendent of Police level.
- Integration with the National Population Register (NPR): NATGRID has reportedly been linked with the NPR, which contains data of 1.19 billion residents.
- NPR includes household, lineage mapping and relational cartography, not merely individual identifiers.
- Shift from Intelligence to Population Mapping: This integration shifts surveillance from tracking specific suspects to mapping the entire population, moving from event-based intelligence to routine, continuous citizen profiling.
- Gandiva and Entity Resolution under NATGRID: The government has deployed an analytical engine called “Gandiva” under NATGRID to enable advanced data analytics for security purposes.
- It uses entity resolution algorithms to merge fragmented data from multiple databases into a single unified profile of an individual.
- Triangulation of datasets such as facial recognition systems, telecom KYC records, and driving licence databases is used to establish identity linkages.
- The system applies AI-based behavioural analysis to infer possible “intentions”, raising concerns about subjectivity, profiling, and due process.
Critical Analysis- Algorithmic Bias and Tyranny of Scale
- Embedded Social Bias: Algorithms reflect existing biases in policing and social data, reinforcing caste, religious, and regional prejudices while appearing “objective.”
- Unequal Impact of Errors: A False Positive may mildly affect the well-off, but for marginalised groups, it can lead to repeated harassment, detention, or physical harm.
- Risk of Panopticon-Style Mass Surveillance: Constant monitoring normalises suspicion and turns surveillance into routine governance, creating a Panopticon effect.
- Panopticon: It is a concept proposed by Jeremy Bentham in which individuals behave as if they are under constant observation, even when they are not, leading to self-discipline and self-censorship
- Weak Oversight: Access may be logged, but without independent audits and strong parliamentary control, accountability remains weak.
Way Forward
- Fixing Institutional Gaps: Intelligence failures often stem from poor training, weak coordination, and low accountability, as seen in the 26/11 attacks, when even basic police preparedness was lacking.
- Enforce Privacy Standards: The principles of necessity and proportionality from the Puttaswamy (2017) judgment must be implemented through clear laws governing intelligence databases.
- The Puttaswamy Judgment (2017) has established privacy as a fundamental right.
- Strengthen Oversight: Surveillance must operate in accordance with parliamentary laws and be subject to independent judicial and legislative oversight to prevent misuse.
Conclusion
The lesson of 26/11 is better intelligence coordination with legal safeguards and oversight, not unchecked surveillance. Without these, NATGRID risks weakening democratic trust in the name of security.