Current Affairs for 31 March 2026

How is Online Content Regulated in India? IT Rules and Amendments Explained

Why in News ?

• The Centre has proposed amendments to the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, indicating a significant shift in India’s approach to digital governance.
• These changes aim to expand regulatory oversight from intermediary platforms to individual content creators, especially those engaging in news and current affairs discussions online.
• The move comes amid rising concerns over misinformation, AI-generated deepfakes, and unregulated digital discourse, but has also triggered debates regarding freedom of expression and potential state overreach.

Background and Context

• India’s regulatory framework for online content is rooted in the Information Technology Act, 2000, which was enacted at a time when the internet ecosystem was still evolving and largely platform-driven rather than user-driven.
• Over the past decade, the digital landscape has undergone a transformation, with platforms like YouTube, Instagram, and X enabling individual users to act as content creators, influencers, and even independent journalists, thereby blurring the distinction between professional media and personal expression.
• In response to these changes, the IT Rules, 2021 were introduced to create a structured regulatory architecture, addressing issues such as platform accountability, grievance redressal, and content moderation.
• However, the rapid growth of misinformation networks, viral fake news, and AI-generated content has exposed gaps in the existing framework, prompting the government to propose stricter regulatory measures.
• Globally, this reflects a broader trend where governments are attempting to balance digital freedom with regulatory control, especially in democracies grappling with the challenges of misinformation and platform dominance.

Existing Regulatory Framework: IT Rules, 2021

• The IT Rules, 2021 establish a multi-layered regulatory mechanism designed to ensure accountability while allowing platforms to self-regulate.
• Three-Tier Grievance Redressal Mechanism:
  • At the first level, digital platforms and publishers are required to self-regulate content and address user grievances internally, promoting accountability at the source.
  • The second level introduces self-regulatory bodies, which provide an additional layer of oversight and standard-setting within the industry.
  • The third level involves government oversight, ensuring that unresolved issues can be escalated and addressed in the public interest.
• Due Diligence Requirements for Intermediaries:
  • Platforms are obligated to remove unlawful or harmful content within specified timelines, ensuring responsiveness to complaints.
  • They must appoint grievance officers and establish mechanisms to track, respond to, and resolve user complaints efficiently.
• Government Oversight Structure:
  • The Ministry of Electronics and Information Technology regulates intermediaries such as social media platforms.
  • The Ministry of Information and Broadcasting oversees digital news publishers and OTT platforms, reflecting a division of regulatory responsibilities.

Safe Harbour Provision

• Section 79 of the IT Act provides “safe harbour” protection, which is a foundational principle of internet governance.
• This provision ensures that intermediaries are not held legally liable for user-generated content, provided they act as neutral platforms and comply with due diligence requirements.
• However, this protection is conditional in nature:
  • Platforms must comply with government directives, including takedown orders.
  • Failure to adhere to these obligations can result in the loss of safe harbour, exposing platforms to direct legal liability for content hosted on their platforms.
• This creates a compliance-driven ecosystem, where platforms may err on the side of caution, sometimes leading to over-removal of content.

Government Powers Under IT Act

• Under Section 69A of the IT Act, the government has the authority to block online content in the interest of national security, public order, sovereignty, and integrity of India.
• This power has been judicially validated in the Shreya Singhal vs Union of India, where the Supreme Court upheld Section 69A while striking down Section 66A for being unconstitutional.
• The judgment emphasised that restrictions on online content must be reasonable, proportionate, and within constitutional limits, thereby setting important safeguards against arbitrary censorship.

Proposed Amendments to IT Rules

The proposed amendments represent a qualitative shift in the regulatory philosophy, moving from indirect oversight of platforms to direct regulation of content creators and users.

1. Inclusion of Individual Users

• The amendments seek to extend regulatory obligations to individual users who create or disseminate news and current affairs content, thereby expanding the scope beyond traditional publishers.
• This reflects the recognition that digital influence is no longer limited to institutional media, but is increasingly exercised by independent creators with large audiences.
• However, this raises concerns about:
  • Defining who qualifies as a “news creator”
  • Potential chilling effect on ordinary users expressing opinions

2. Direct Takedown and Blocking Powers

• The Ministry of Information and Broadcasting may be empowered to issue direct takedown orders to both platforms and individual users, bypassing intermediary mechanisms.
• Additionally, authorities may require users to modify content or issue apologies, introducing a more interventionist regulatory approach.
• This centralisation of power could enhance efficiency but also raises concerns about due process and checks and balances.

3. Expansion of Inter-Departmental Committee (IDC)

• The IDC’s role is proposed to be expanded to handle a broader range of grievances beyond code violations, making it a key institutional mechanism for digital content regulation.
• This enhances the state’s capacity to monitor and adjudicate content-related disputes, but also increases executive influence over digital discourse.

4. Legal Status of Advisories

• Government advisories, which were previously recommendatory, may become legally binding obligations for platforms.
• This change effectively transforms advisories into regulatory instruments, increasing compliance pressure on platforms.
• As a result, platforms may adopt more aggressive content moderation practices to avoid legal consequences.

5. Changes in Takedown Mechanism

• The proposed system allows direct issuance of takedown notices to individual users, reducing the role of intermediaries as buffers.
• The reduction in compliance timelines may lead to:
  • Faster content removal
  • Limited opportunity for users to contest decisions
• This could result in procedural concerns regarding fairness and natural justice.

Shift in Regulatory Approach

• The amendments signal a broader shift from:
  • Platform liability → Individual accountability
  • Reactive moderation → Proactive regulation
• This reflects the government’s attempt to adapt to a decentralised digital ecosystem, where influence is dispersed across millions of users rather than concentrated in a few platforms.

Recent Enforcement Trends

• There has been a noticeable increase in content takedown orders and regulatory scrutiny, particularly in relation to:
  • Political content
  • Satirical expression
  • Misinformation and deepfakes
• The growing use of AI-generated content has intensified concerns about information integrity and public trust, prompting stricter enforcement.

Static Prelims Boost: Key Concepts

1. Safe Harbour Doctrine

• Provides conditional immunity to intermediaries from liability for user-generated content.
• Encourages innovation and free flow of information while ensuring accountability through due diligence.

2. Section 69A of IT Act

• Empowers the government to block online content under specific conditions related to national interest.
• Requires procedural safeguards such as reasoned orders.

3. Intermediary

• Any entity that stores, transmits, or hosts information on behalf of users, including social media platforms and ISPs.

4. Article 19(1)(a) and 19(2)

• Guarantees freedom of speech while allowing reasonable restrictions in the interest of sovereignty, security, and public order.

5. Deepfakes

• AI-generated synthetic media that can manipulate audio/video content, posing risks to democracy, privacy, and public discourse.

Challenges and Concerns

• Freedom of Expression:
  • Expanded regulation may lead to self-censorship among users, limiting democratic discourse.
• Ambiguity in Legal Definitions:
  • Broad and unclear definitions may result in arbitrary application of rules, affecting unintended users.
• Over-Compliance by Platforms:
  • To avoid legal risks, platforms may remove content excessively, leading to suppression of legitimate speech.
• Centralisation of Regulatory Power:
  • Increased executive control raises concerns about lack of independent oversight and potential misuse.
• Judicial Scrutiny:
  • Ongoing legal challenges indicate that the final shape of these regulations will depend on constitutional interpretation by courts.

Significance

• Governance:
  • Enhances the state’s ability to regulate digital ecosystems and enforce accountability.
• Security:
  • Addresses challenges posed by misinformation, fake news, and deepfakes.
• Digital Economy:
  • Shapes platform behaviour and compliance frameworks.
• Democratic Discourse:
  • Defines the balance between free expression and regulatory control in the digital age.

Core Analysis: Opportunities vs Risks

Opportunities

• Enables more effective control over harmful and misleading content
• Strengthens grievance redressal and accountability mechanisms
• Aligns India’s digital regulation with emerging global trends

Risks

• Potential erosion of free speech and dissent
• Increased compliance burden on platforms and creators
• Risk of regulatory overreach and misuse

Way Forward

Short-Term Measures

• Clearly define the scope of regulated content to avoid ambiguity
• Ensure transparency in takedown processes and decision-making
• Provide reasonable timelines for compliance

Long-Term Measures

• Develop a balanced regulatory framework that safeguards both:
  • Freedom of expression
  • Accountability in digital ecosystems
  • Establish independent regulatory oversight bodies
• Promote digital literacy to counter misinformation organically

Policy Focus

• Adopt a rights-based regulatory approach
• Encourage co-regulation (state + platforms + civil society)
• Align with global best practices in digital governPractice Questions

Practice Questions

PM e-DRIVE Scheme Explained: Subsidies, Features, Objectives and EV Ecosystem Push

Why in News ?

• The government has extended subsidies under the PM e-DRIVE Scheme for: 
  • Electric two-wheelers till 31 July 2026
  • Electric rickshaws and carts till 31 March 2028
  • The scheme is being implemented by the Ministry of Heavy Industries, highlighting continued policy push toward electric mobility adoption and decarbonisation of transport.
• The extension reflects the government’s intent to sustain EV demand, support manufacturers, and accelerate India’s transition to clean mobility.

Background and Context

• India’s transport sector is one of the largest contributors to greenhouse gas emissions, oil imports, and urban air pollution, making it a critical focus area for climate and energy policy.
• With rising crude oil prices and dependence on imports, promoting electric vehicles (EVs) is seen as a strategic move to:
  • Enhance energy security
  • Reduce import bill
  • Meet climate commitments under global frameworks like the Paris Agreement
• Earlier schemes such as FAME I and FAME II laid the foundation for EV adoption, but challenges like high upfront costs, inadequate charging infrastructure, and limited domestic manufacturing persisted.
• The PM e-DRIVE Scheme was introduced in October 2024 as a next-generation policy framework, aiming to address these structural gaps and scale up EV adoption across segments.

About PM e-DRIVE Scheme

• The PM e-DRIVE (Electric Drive Revolution in Innovative Vehicle Enhancement) Scheme is a flagship initiative launched in October 2024 to accelerate the electrification of India’s transport sector.
• It came into effect from 1 October 2024, with a comprehensive approach that integrates:
  • Demand incentives
  • Infrastructure development
  • Manufacturing ecosystem strengthening
• The scheme aims to create a holistic EV ecosystem, moving beyond subsidies to include long-term capacity building and technological advancement.

Objectives of the Scheme

• The scheme is designed with multiple strategic objectives that go beyond simple vehicle adoption:
• Accelerating EV Adoption:
  • Reduce the cost barrier through upfront incentives, making EVs more competitive with internal combustion engine (ICE) vehicles.
• Reducing Carbon Emissions:
  • Promote cleaner mobility solutions to reduce vehicular emissions and improve urban air quality.
• Enhancing Energy Security:
  • Lower dependence on imported fossil fuels by shifting toward electricity-based mobility.
• Developing Domestic Manufacturing:
  • Encourage localisation of EV components, batteries, and technology, aligning with the “Make in India” initiative.
• Building Charging Infrastructure:
  • Address range anxiety and usability concerns through widespread charging networks.

Key Components of PM e-DRIVE Scheme

1. Demand Incentives (Subsidies)

• The scheme provides targeted financial incentives to reduce the upfront cost of EVs, which remains the biggest barrier to adoption.
• Subsidies are extended to a wide range of vehicle categories:
  • Electric two-wheelers (e-2W), which dominate India’s mobility market
  • Electric three-wheelers (e-3W), including auto-rickshaws and cargo vehicles
  • Emerging segments such as e-ambulances and e-trucks, which are crucial for public service and logistics
• These incentives are structured to:
  • Encourage mass adoption in high-usage segments
  • Promote electrification of both passenger and commercial mobility

2. Grants for Creation of Capital Assets

• The scheme provides financial support for building critical infrastructure and public assets, which are essential for scaling EV adoption.
• Key areas include:
  • Procurement of electric buses (e-buses) for public transport systems, improving sustainability in urban mobility
  • Development of a nationwide charging infrastructure network, addressing range anxiety and enabling long-distance travel
  • Upgradation of testing and certification facilities, ensuring quality, safety, and standardisation of EV technologies
• This component ensures that EV adoption is supported by robust physical and institutional infrastructure.

3. Charging Infrastructure Development

• Recognising that infrastructure is a key bottleneck, the scheme prioritises the creation of accessible and reliable charging networks.
• It focuses on:
  • Urban charging stations for daily commuters
  • Highway charging corridors for inter-city travel
  • Integration with renewable energy sources for sustainable power supply
• This approach aims to create a user-friendly ecosystem, reducing hesitation among potential EV buyers.

4. Administrative and Institutional Framework

• The scheme includes provisions for:
  • Information, Education, and Communication (IEC) campaigns to raise awareness about EV benefits
  • Engagement of a Project Management Agency (PMA) for efficient implementation
• Governance is ensured through the Project Implementation and Sanctioning Committee (PISC):
  • Chaired by the Secretary of Heavy Industries
  • Responsible for monitoring progress, resolving bottlenecks, and approving policy adjustments
• This ensures adaptive policy implementation, allowing flexibility based on market response.

5. Role of States

• The scheme encourages states to complement central efforts by offering:
  • Fiscal incentives such as road tax waivers and subsidies
  • Non-fiscal incentives such as permit exemptions and reduced toll charges
• This cooperative federal approach helps create a favourable policy ecosystem across regions, ensuring wider adoption.

Eligibility and Technical Conditions

• To qualify for incentives under the scheme:
• Vehicles must:
  • Be registered as motor vehicles under CMVR (Central Motor Vehicle Rules)
  • Use advanced battery technologies, ensuring efficiency, safety, and performance
• This ensures that subsidies are directed toward high-quality, future-ready EV technologies rather than outdated systems.

EV Ecosystem Concepts

1. Types of Electric Vehicles

• BEV (Battery Electric Vehicle): Fully electric, no internal combustion engine
• HEV (Hybrid Electric Vehicle): Combines ICE and electric motor
• PHEV (Plug-in Hybrid Electric Vehicle): Can be externally charged

2. Lithium-Ion Batteries

• Most commonly used EV batteries due to: 
  • High energy density
  • Longer life cycle
• Key minerals required: 
  • Lithium, cobalt, nickel

3. FAME Scheme

• Faster Adoption and Manufacturing of Electric Vehicles (FAME): 
  • Earlier flagship EV scheme
  • Focused on demand incentives and pilot projects

4. Charging Infrastructure Types

• Slow charging (AC) – used for homes
• Fast charging (DC) – used for commercial and highway stations

5. EV Benefits

• Zero tailpipe emissions
• Lower operating costs
• Reduced dependence on fossil fuels

Significance of the Scheme

• Environmental Impact: Reduces air pollution and greenhouse gas emissions
• Economic Benefits: Cuts oil import bill and improves trade balance
• Industrial Growth: Boosts domestic manufacturing and job creation in EV sector
• Urban Mobility Transformation: Promotes cleaner and more efficient public transport systems

Challenges and Concerns

• High Initial Costs: Despite subsidies, EVs remain costlier than conventional vehicles
• Infrastructure Gaps: Charging network still limited, especially in rural areas
• Battery Supply Chain Issues: Dependence on imported critical minerals
• Grid Capacity Constraints: Increased EV penetration may strain electricity infrastructure
• Consumer Awareness: Limited understanding of EV benefits and usage

Core Analysis: Opportunities vs Constraints

Opportunities

• Rapid growth of EV market in India
• Alignment with climate commitments
• Potential to become a global EV manufacturing hub

Constraints

• Supply chain vulnerabilities
• Policy implementation challenges at state level
• Need for technological innovation

Way Forward

Short-Term Measures

• Expand charging infrastructure rapidly
• Ensure timely subsidy disbursal
• Promote awareness campaigns

Long-Term Measures

• Develop domestic battery manufacturing ecosystem
• Invest in R&D for advanced battery technologies
• Integrate EVs with renewable energy systems

Policy Focus

• Strengthen public-private partnerships
• Ensure policy stability and consistency
• Promote localisation and self-reliance

Practice Questions

Shaurya Squadrons: What Are Indian Army Drone Units and Their Role?

Why in News ?

The Indian Army has begun inducting Shaurya Squadrons—dedicated drone sub-units within armoured regiments—to enhance real-time surveillance and precision strike capabilities in modern battlefield scenarios.

Background and Context

Modern warfare is increasingly technology-driven, with unmanned systems such as drones playing a decisive role in intelligence gathering, surveillance, reconnaissance (ISR), and combat operations.

Recent global conflicts have demonstrated the transformative impact of drones in :

• Precision targeting
• Real-time battlefield awareness
• Minimising human risk

India has been steadily modernising its defence forces to integrate advanced technologies. The induction of Shaurya Squadrons reflects this shift toward network-centric and technology-enabled warfare.

About Shaurya Squadrons

• Dedicated drone sub-units embedded within armoured regiments
• Designed to provide real-time intelligence and strike capabilities at unit level
• Each squadron comprises around 20–30 trained personnel

Types of Systems Operated

• Surveillance drones
• Attack drones
• Swarm drones
• First-Person View (FPV) drones
• Loitering munitions

Key Features and Capabilities

1. Real-Time Surveillance

Shaurya Squadrons provide tank commanders with live battlefield data, improving situational awareness and decision-making.

2. Precision Strike Capability

FPV drones and loitering munitions enable targeted strikes on  :

• Enemy armour
• Logistics nodes
• Strategic positions

3. Decentralised Decision-Making

Commanders can act instantly without waiting for higher command approvals, enhancing operational flexibility.

4. Sensor-to-Shooter Compression

The key objective is to reduce the time between detection and destruction of targets from minutes to seconds.

5. Integration with Armoured Warfare

Enhances effectiveness of tank regiments by combining mobility with real-time intelligence and strike capabilities.

Sensor-to-Shooter Cycle Explained

The sensor-to-shooter cycle refers to the time gap between :

• Identifying a target (sensor)
• Engaging and destroying it (shooter)

Shaurya Squadrons aim to drastically reduce this gap, making battlefield response faster and more efficient.

Deployment and Expansion

• Already inducted across five Army Commands
• Plan to equip all 67 armoured regiments
• Ensures each regiment has a dedicated drone wing

Link with Ashni Platoons

• Shaurya Squadrons build upon earlier Ashni Platoons in infantry units
• Ashni units also consist of 25–30 personnel
• Equipped with similar drone and counter-drone capabilities
• Now integrated across infantry battalions

Significance of Shaurya Squadrons

1. Modernisation of Armed Forces

Marks a shift towards technology-driven warfare and unmanned systems.

2. Enhanced Battlefield Efficiency

Faster targeting and engagement improves operational outcomes.

3. Reduced Risk to Soldiers

Use of drones minimises exposure of personnel to enemy fire.

4. Strategic Advantage

Provides edge in high-intensity and hybrid warfare scenarios.

5. Network-Centric Warfare Capability

Integrates intelligence, surveillance, and strike functions into a unified system.

Challenges

• High dependency on advanced technology and maintenance
• Vulnerability to electronic warfare and jamming
• Need for continuous training and skill upgradation
• Integration challenges with existing command structures
• Rapidly evolving drone warfare requiring constant innovation

Way Forward

• Invest in indigenous drone manufacturing under Atmanirbhar Bharat
• Strengthen counter-drone and electronic warfare capabilities
• Enhance AI-based targeting and autonomous systems
• Develop robust communication and data-sharing networks
• Conduct regular training and simulation-based exercises
• Foster collaboration between defence forces, DRDO, and private sector

Why is Maoist Insurgency Declining in India? Causes and Future Risks Explained

Why in News ?

• The recent surrender of a senior leader of the Communist Party of India (Maoist) indicates a significant weakening of the Maoist leadership structure, suggesting that the insurgency is approaching a phase of strategic collapse.
• Despite this decline in armed activity, experts caution that structural issues such as inequality, governance deficits, and marginalisation remain unresolved, raising concerns about long-term stability.
• The key policy challenge for the Indian state is to convert military success into durable legitimacy and trust, especially in historically neglected regions.

Background and Context

• The Maoist movement in India originated from the Naxalbari Uprising, where radical left groups advocated armed struggle against what they described as a “semi-feudal, semi-colonial” state structure.
• Over time, the movement expanded into a vast geographical belt known as the “Red Corridor”, covering parts of :
  • Chhattisgarh, Jharkhand, Bihar, Odisha
  • Andhra Pradesh and Telangana
• The spread of Maoism was closely linked to :
  • Regions with weak state presence and poor governance delivery
  • Areas inhabited by Adivasis, landless peasants, and marginalised communities
• In many of these regions, Maoists positioned themselves as an alternative authority, resolving disputes, enforcing wages, and challenging exploitative local structures, thereby gaining legitimacy among sections of the population.

Structural Causes Behind Maoist Insurgency

• The persistence of Maoism can be traced to deep-rooted socio-economic and governance failures, rather than merely ideological appeal.
• Land and Agrarian Inequality :
  • Unequal land distribution and ineffective land reforms created long-standing grievances among landless peasants.
  • Continued existence of informal tenancy and exploitation reinforced discontent.
• Marginalisation of Tribal Communities :
  • Adivasis often faced displacement due to mining, dams, and industrial projects without adequate rehabilitation.
  • Lack of recognition of forest rights led to alienation from traditional livelihoods.
• Governance Deficit :
  • Absence of effective administrative structures in remote regions resulted in limited access to justice, healthcare, and education.
  • Corruption and excesses by local authorities further eroded trust in the state.
• Social Oppression :
  • Caste-based discrimination, bonded labour practices, and exploitation by local elites created fertile ground for insurgent mobilisation.
• State Absence as a Critical Factor :
  • Experts emphasise that Maoism thrived not only due to poverty but because of the “invisibility of the state”, where insurgents became the only functioning authority.

How the Indian State Gained the Upper Hand

• Over the past decade, the Indian state has implemented a multi-pronged strategy combining security, governance, and development, significantly weakening the Maoist movement.
• Strategic Policy Shift (Post-2006) :
  • The government officially recognised Left Wing Extremism as a major internal security threat.
  • Adopted a “Clear, Hold, Develop” strategy : 
    • Clear: Eliminate insurgent presence
    • Hold: Establish security dominance
    • Develop: Extend governance and infrastructure
• Security Measures :
  • Large-scale deployment of central armed police forces
  • Modernisation of state police forces
  • Improved intelligence gathering and coordination
• Leadership Decapitation :
  • Arrest, elimination, or surrender of key leaders from the Central Committee and Politburo weakened organisational coherence.
  • Fragmentation of command structure reduced operational effectiveness.
• Infrastructure Expansion :
  • Construction of over 15,000 km of roads improved connectivity in remote areas.
  • Installation of 9,000+ mobile towers reduced information isolation.
  • Strengthening of 656 police stations and ~200 security camps ensured sustained presence.
• Localised Policing :
  • Increased involvement of local police forces familiar with terrain and communities reduced Maoist tactical advantages.

Decline in Maoist Violence and Influence

• The combined effect of sustained state intervention has resulted in a sharp decline in Maoist activity.
• Key trends :
  • Over 80% reduction in Maoist-related violence and fatalities since 2010
  • Reduction in affected districts : 
    • From ~200 districts (early 2000s)
    • To ~38 districts by 2025
  • Only 7 districts currently classified as LWE-affected, with 3 most affected (Bijapur, Narayanpur, Sukma)
• Even Maoist leadership has acknowledged the decline, advising cadres to surrender or relocate, indicating weakening morale and organisational capacity.

Internal Decline of the Maoist Movement

• Apart from state pressure, the movement has also weakened due to internal structural issues : 
• Ideological Erosion :
  • Decline in ideological commitment among cadres
  • Reduced appeal among educated youth
• Organisational Weakness :
  • Infiltration by non-committed elements
  • Breakdown of hierarchical command structures
• Changing Socio-Economic Aspirations :
  • Increased connectivity and awareness have shifted aspirations toward development and integration rather than insurgency.

Challenges After Maoist Decline: Managing the Vacuum

• The decline of Maoist influence does not automatically ensure stability; instead, it creates a power vacuum that must be carefully managed.
• Risk of New Instabilities :
  • Emergence of criminal networks or localised violence
  • Renewed alienation if governance gaps persist
• Legacy Thrust Districts :
  • Government has identified 31 districts requiring continued focus to prevent relapse.
• Need for Governance Consolidation :
  • Transition from security dominance → civilian governance is critical
  • Failure to deliver services may recreate conditions for unrest

Can Maoism Rise Again ?

• Experts largely agree that a full-scale revival of Maoism is unlikely, but caution against complacency.
• Factors Reducing Revival Possibility :
  • Improved connectivity (roads, mobile networks, internet)
  • Greater awareness and exposure through digital media
  • Reduced geographical isolation
• Changing Nature of Radicalism :
  • Potential shift toward : 
    • Urban or peri-urban issue-based movements
    • Non-violent or low-intensity radical activism
• Role of Inequality :
  • Persistent economic disparities and visible inequality may still create space for far-left ideologies, even if not in armed form.

Role of Governance and State Legitimacy

• The long-term success against Maoism depends not just on security measures but on building state legitimacy.
• Development as a Tool of Integration :
  • Delivery of basic services such as roads, schools, healthcare
  • Evidence from Andhra Pradesh and Chhattisgarh shows positive public response to development initiatives
• Strengthening Local Institutions :
  • Recruitment of local youth into police and administration
  • Expansion of grassroots governance mechanisms
• Responsive Governance :
  • Effective grievance redressal systems
  • Reduction of corruption and bureaucratic inefficiencies
• Ultimately, people’s trust in the state will determine whether insurgency spaces re-emerge.

Significance

• Internal Security :
  • Weakening of one of India’s longest-running insurgencies strengthens national security
• Social Justice :
  • Highlights the need to address inequality, tribal rights, and marginalisation
• Governance :
  • Demonstrates the importance of combining security with development
• Economic Development :
  • Improved stability enables investment and infrastructure growth in previously conflict-affected regions

Core Analysis: Gains vs Risks

Gains

• Effective combination of security operations and development initiatives
• Significant reduction in violence and insurgent capacity
• Improved state presence in remote and previously inaccessible regions

Risks

• Possibility of governance failure after security withdrawal
• Continued structural inequalities and displacement issues
• Emergence of new forms of radicalism or criminal networks

Way Forward

Short-Term Measures

• Ensure continuous security presence in vulnerable districts to prevent relapse
• Accelerate delivery of welfare schemes and infrastructure projects
• Strengthen intelligence and community policing mechanisms

Long-Term Measures

• Address root causes of insurgency, including land rights, tribal autonomy, and socio-economic inequality
• Institutionalise inclusive governance and participatory development
• Promote education, employment, and skill development in affected regions

Policy Focus

• Shift from “area domination” to “people-centric governance”
• Build trust-based state-citizen relationships
• Ensure accountability and transparency in administration

PYQs / Practice Questions

Prelims :
Q. The term “Red Corridor” in India is associated with :
(a) Industrial zones
(b) Coastal trade routes
(c) Maoist-affected regions
(d) Border security areas

Mains :
“Discuss the reasons for the decline of Maoist insurgency in India. Can it re-emerge in a different form?”

RBI Forex Cap Explained: Why Banks Are Worried Amid Rupee Pressure

Why in News ?

• The Reserve Bank of India has directed banks to cap their net foreign currency exposure at $100 million per day to contain the sharp depreciation of the rupee.
• The move comes amid : 
  • Rising crude oil prices due to West Asia geopolitical tensions
  • Persistent inflationary pressures
  • Continuous outflows by Foreign Portfolio Investors (FPIs)
• Despite the measure, the rupee weakened further, breaching ₹94–95 per dollar levels, indicating deeper structural pressures.

Background and Context

• The Indian rupee has been under sustained pressure due to a combination of external shocks and domestic vulnerabilities, particularly :
  • Surge in global crude oil prices (India being a major oil importer)
  • Strengthening of the US dollar globally
  • Capital outflows from emerging markets
• The RBI traditionally intervenes by :
  • Selling dollars from its forex reserves
  • Adjusting liquidity and interest rates
• However, in the current scenario, the RBI has shifted from direct intervention → regulatory intervention, indicating concerns about preserving forex reserves.
• India’s forex reserves have declined by over $30 billion to around $698 billion, reflecting heavy intervention to stabilise the currency.

What is RBI’s Forex Cap and How Does it Work ?

• The RBI has imposed a cap on banks’ Net Open Position (NOP) in foreign currencies, limiting their exposure to $100 million per day.
• Earlier Framework :
  • Banks could hold foreign currency exposure up to 25% of their capital base
  • Allowed flexibility in currency trading and arbitrage
• New Framework :
  • Strict quantitative cap on daily exposure
  • Banks required to unwind excess positions by April 10
• Intended Impact :
  • Forces banks to sell dollars → increases dollar supply in the market
  • Reduces speculative positions against the rupee
  • Stabilises exchange rate volatility in the short term

Drivers of Rupee Depreciation

1. FPI (Foreign Portfolio Investor) Outflows

• FPIs have been net sellers throughout the month, leading to sustained capital outflows.
• Key reasons : 
  • Weak global equity sentiment
  • Depreciating rupee reducing returns
  • Risk aversion due to geopolitical instability

2. Rising Crude Oil Prices

• Oil prices remaining above $100 per barrel increase India’s import bill.
• Leads to : 
  • Higher demand for dollars
  • Widening Current Account Deficit (CAD)
• Directly exerts downward pressure on the rupee.

3. External Sector Vulnerability

• Combination of : 
  • High import dependence
  • Declining remittances (possible Gulf impact)
  • Capital outflows
• Creates stress on India’s Balance of Payments (BoP).

Why Banks Are Worried

• Abrupt Implementation Timeline :
  • Banks have limited time to unwind large forex positions, creating operational and financial stress.
• Risk of Mark-to-Market Losses :
  • Forced selling of dollar assets at unfavourable exchange rates may lead to significant losses (estimated $11–15 billion exposure).
• Impact on Treasury Operations :
  • Reduced scope for currency arbitrage between onshore and offshore markets
  • Loss of an important revenue stream
• Market Distortion Risks :
  • Stricter domestic rules may shift trading to offshore markets (e.g., NDF markets)
  • Could increase speculative pressure on the rupee

Institutional and Policy Approach

• The RBI’s move reflects a strategic shift in policy approach:
• From Direct Intervention :
  • Selling dollars from forex reserves
• To Indirect Regulation :
  • Controlling market behaviour through exposure limits
• Objective :
  • Preserve forex reserves (“war chest”)
  • Reduce volatility without excessive reserve depletion

Lessons from Past Currency Crises

• During crises like :
  • Global Financial Crisis (2008)
  • Taper Tantrum (2013)
• Under Raghuram Rajan, RBI used multiple tools :
  • FCNR(B) Scheme :
    • Attracted over $30 billion in foreign currency deposits
  • Dollar Swap Windows :
    • Provided liquidity to oil companies
  • Monetary Tightening :
    • Increased interest rates to control inflation and boost investor confidence
  • Capital Flow Management :
    • Eased FPI and ECB norms
    • Restricted gold imports to reduce outflows

 Key Concepts Related to Forex

1. Foreign Exchange Reserves

• Comprise : 
  • Foreign currency assets
  • Gold reserves
  • SDRs (Special Drawing Rights)
  • Reserve position in IMF
• Used to : 
  • Stabilise currency
  • Manage external shocks

2. Exchange Rate Regime in India

• India follows a managed floating exchange rate system : 
  • Market determines value
  • RBI intervenes to prevent excessive volatility

3. Net Open Position (NOP)

• Refers to : 
  • Difference between a bank’s foreign currency assets and liabilities
• High NOP : 
  • Increases risk exposure
  • Can amplify currency volatility

4. FCNR(B) Accounts

• Foreign Currency Non-Resident (Bank) deposits : 
  • Maintained in foreign currency
  • Protect NRIs from exchange rate risk

5. Balance of Payments (BoP)

• Comprises : 
  • Current Account (trade, services, remittances)
  • Capital Account (FDI, FPI, loans)
• Deficit → pressure on currency

Challenges and Concerns

• Limited Effectiveness :
  • Forex cap alone may not counter strong macroeconomic pressures
• Market Confidence Issues :
  • Frequent regulatory changes may signal instability
• External Dependence :
  • India’s vulnerability to oil prices and global capital flows persists
• Offshore Speculation Risk :
  • Increased activity in offshore markets may weaken policy impact

Significance

• Economic Stability :
  • Helps manage currency volatility and inflation
• External Sector Management :
  • Protects forex reserves during global uncertainty
• Financial System Discipline :
  • Limits excessive risk-taking by banks

Core Analysis: Gains vs Risks

Gains

• Immediate increase in dollar supply
• Reduced speculative pressure
• Preservation of forex reserves
• Signal of proactive central bank action

Risks

• Financial stress on banks
• Reduced market efficiency
• Shift to offshore speculation
• Limited long-term effectiveness without structural reforms

Way Forward

Short-Term Measures

• Calibrated RBI intervention in forex markets
• Temporary relaxation or phased implementation for banks
• Monitoring offshore market activity

Long-Term Measures

• Strengthening export competitiveness
• Reducing oil import dependence (renewable push)
• Deepening domestic financial markets

Policy Options

• Attracting stable capital inflows (FDI, NRI deposits)
• Managing demand for forex (import substitution policies)
• Coordinated fiscal and monetary policy response

PYQs / Practice Questions

Prelims :
Which of the following components are included in India’s foreign exchange reserves ?

1. Foreign currency assets
2. Gold holdings
3. SDRs
4. Corporate bonds

Select the correct answer :
(a) 1, 2 and 3
(b) 1 and 4
(c) 2 and 3
(d) All of the above

Mains :
“Discuss the causes of rupee depreciation in India and evaluate the effectiveness of RBI’s policy tools to manage currency volatility.”

AI in Internal Security: How India is Using Predictive Policing & Cyber Intelligence?

Why in News ?

• The Ministry of Home Affairs is significantly expanding the use of Artificial Intelligence (AI) across internal security domains such as predictive policing, cybercrime detection, and financial fraud prevention, reflecting a strategic shift in governance.
• A recent Parliamentary Standing Committee report has recognised AI as a “critical enabler”, indicating that future policing and intelligence systems in India will be increasingly data-driven and technology-centric.
• This transition highlights a broader movement from reactive law enforcement mechanisms, which respond after crimes occur, toward predictive and preventive frameworks that aim to anticipate and neutralise threats before they materialise.

Background and Context

• The traditional model of policing in India has largely been reactive in nature, relying on FIR registration, investigation, and prosecution after the occurrence of crime, which often leads to delays and inefficiencies in justice delivery.
• However, the rapid expansion of the digital economy, online transactions, and internet penetration has led to a parallel rise in cyber threats such as phishing, identity theft, financial fraud, and organised cybercrime networks operating across jurisdictions.
• In this context, the role of the Indian Cyber Crime Coordination Centre becomes crucial, as it serves as a centralised platform for intelligence sharing, cybercrime monitoring, and technological integration across states.
• India’s approach also reflects increasing institutional collaboration, where technological expertise is being leveraged through partnerships with premier institutions like IIT Bombay for AI model development and the Reserve Bank Innovation Hub for financial fraud analytics.
• Globally, countries are integrating AI into security frameworks for surveillance, facial recognition, and predictive policing; however, this has also sparked debates on privacy, surveillance overreach, and algorithmic governance, which are equally relevant in the Indian context.

AI in Internal Security: Expanding Role

• Artificial Intelligence is emerging as a force multiplier for internal security agencies, as it enhances their capacity to process vast volumes of structured and unstructured data, enabling faster and more informed decision-making.
• AI systems are capable of identifying hidden patterns and correlations in crime data that are not easily detectable through conventional methods, thereby allowing law enforcement agencies to anticipate potential threats.
• The integration of AI also facilitates real-time surveillance and monitoring, which is particularly important in managing dynamic threats such as cyberattacks, financial fraud, and organised criminal networks.
• Furthermore, AI enables inter-agency coordination, as data from multiple sources—banking systems, telecom networks, immigration databases—can be integrated and analysed to create a comprehensive security architecture.

Key AI Initiatives and Tools

1. Predictive Policing

• Predictive policing systems utilise historical crime data, geographical information systems (GIS), and temporal patterns to identify areas and time periods with a higher probability of criminal activity.
• This approach allows law enforcement agencies to move from uniform deployment of resources to targeted intervention strategies, thereby improving efficiency and reducing response time.
• However, the effectiveness of such systems depends heavily on the quality and representativeness of data, as biased datasets may lead to skewed predictions and reinforce existing inequalities.

2. Dark Web Monitoring

• AI-enabled tools are being deployed to monitor activities on the dark web, which serves as a hub for illegal activities such as drug trafficking, cyber fraud, and data breaches.
• These systems use natural language processing (NLP) and network analysis to identify suspicious keywords, track criminal networks, and detect emerging threats in real time.
• This proactive monitoring enhances the ability of security agencies to intervene before cyber threats translate into real-world impacts.

3. Mule Hunter System

• The Mule Hunter system, developed in collaboration with the Reserve Bank Innovation Hub, represents a significant advancement in tackling financial cybercrime.
• It uses machine learning algorithms to analyse transaction patterns, behavioural anomalies, and account linkages, thereby identifying “mule accounts” that facilitate money laundering and fraud.
• The system enables real-time suspect scoring, allowing banks and enforcement agencies to block fraudulent transactions before funds are siphoned off, marking a shift toward preventive financial security.

4. Surakshini Initiative

• The Surakshini initiative is designed to address the growing challenge of harmful online content, particularly CSEAM and NCII, which have severe social and psychological consequences.
• By creating a hash database of known illegal content, the system can automatically detect and block re-uploads across platforms, thereby reducing the circulation of such material.
• This represents a shift from reactive content takedown mechanisms, which act after harm occurs, to preventive digital governance frameworks.

5. AI-enabled Cyber Helpline (1930)

• The integration of AI into the cybercrime helpline enhances its functionality by enabling automated complaint classification, prioritisation, and routing to relevant authorities.
• The inclusion of regional language support ensures greater accessibility, particularly for citizens in rural and semi-urban areas, thereby bridging the digital divide.
• This contributes to faster grievance redressal and improved citizen trust in digital governance systems.

6. IVFRT 3.0 System

• The upcoming IVFRT 3.0 system represents the integration of AI and blockchain technologies in immigration management, enhancing both efficiency and security.
• AI enables intelligent profiling of travellers based on risk indicators, while blockchain ensures the integrity and authenticity of records.
• This system is expected to strengthen border security, prevent identity fraud, and streamline immigration processes.

Institutional and Governance Framework

• The deployment of AI in internal security is led by the Ministry of Home Affairs, with operational support from the Indian Cyber Crime Coordination Centre (I4C), which acts as a centralised intelligence and coordination platform.
• These initiatives are largely executive in nature, indicating flexibility in implementation but also highlighting the absence of a comprehensive statutory framework governing AI use in security.
• The model emphasises inter-sectoral collaboration, integrating inputs from academia, financial institutions, and technology bodies to build scalable and adaptive systems.

Challenges and Concerns

• The expansion of AI-driven surveillance raises serious concerns regarding the Right to Privacy, which has been recognised as a fundamental right by the Supreme Court in the Justice K.S. Puttaswamy vs Union of India judgment, thereby necessitating strong legal safeguards.
• The reliance on large datasets introduces risks related to data security and potential misuse, as sensitive personal and financial information may become vulnerable to breaches or unauthorised access.
• Algorithmic bias remains a critical challenge, as AI systems trained on incomplete or biased data may lead to discriminatory outcomes, particularly affecting marginalised communities.
• The absence of a comprehensive legal and regulatory framework for AI creates ambiguity regarding accountability, oversight, and redressal mechanisms.
• Additionally, technological limitations and infrastructural gaps may hinder the effective implementation of AI systems, particularly in resource-constrained regions.

Significance of AI in Internal Security

• From a security standpoint, AI enhances the ability of agencies to detect, prevent, and respond to threats in real time, thereby strengthening overall national security architecture.
• Economically, it plays a crucial role in reducing financial fraud, safeguarding digital transactions, and promoting trust in the digital economy, which is essential for sustained growth.
• Socially, AI contributes to safer online environments, particularly for vulnerable groups such as women and children, by proactively identifying and mitigating harmful content.
• Technologically, it promotes indigenous innovation and capacity building, aligning with broader goals of technological self-reliance.
• At the global level, India’s adoption of AI in internal security enhances its position as a responsible and technologically advanced digital power.

Core Analysis: Opportunities vs Risks

Opportunities

• AI enables a transition toward predictive and preventive policing, which is more efficient and effective than traditional reactive approaches.
• It improves resource allocation and operational efficiency, allowing limited manpower to be utilised optimally.
• Real-time data processing enhances the speed and accuracy of decision-making, which is critical in security operations.

Risks and Challenges

• The potential for surveillance overreach may undermine civil liberties and democratic values if not properly regulated.
• Data-driven systems may lead to excessive dependence on technology, reducing human judgment in critical decision-making processes.
• Ethical concerns regarding transparency, accountability, and fairness remain unresolved in the absence of clear guidelines.

Way Forward

Short-Term Measures

• Strengthening data protection frameworks and cybersecurity infrastructure to safeguard sensitive information.
• Ensuring transparency and explainability in AI algorithms, so that decisions can be audited and understood.
• Enhancing capacity building and training for law enforcement agencies to effectively use AI tools.

Long-Term Measures

• Developing a comprehensive legal and regulatory framework for AI, addressing issues of privacy, accountability, and ethical use.
• Promoting indigenous AI research and innovation, reducing dependence on external technologies.
• Institutionalising ethical AI governance, including independent oversight bodies and regular audits.

Practice Questions

Prelims :

Q. Which of the following bodies is responsible for coordinating cybercrime in India ?
(a) NITI Aayog
(b) Indian Cyber Crime Coordination Centre
(c) RBI
(d) TRAI

Mains :
“Artificial Intelligence is transforming internal security in India, but raises serious ethical and legal concerns.” Discuss.