ARTIFICIAL INTELLIGENCE IN NATIONAL SECURITY

Why In News?

AI is transforming national security and statecraft by enhancing strategic forecasting and simulating diplomatic outcomes.

How AI is Becoming Central to National Security?

The modern battlefield has rapidly expanded beyond physical domains into the electromagnetic spectrum, data networks, and financial infrastructures, marking a transition to the algorithmic age of warfare.

AI is no longer just a supplementary tool but the core structural system that securely connects intelligence, cyber, space, and maritime security into a unified defense posture.

Global military AI spending surged from approximately $4.6 billion in 2022 to $9.2 billion in 2023, with projections nearing $38.8 billion by 2028. (Source: Council for Strategic and Defense Research) 

How AI Used in National Security?

Command, Control, and Intelligence (C4ISR): AI automates target recognition and enhances battlefield awareness by processing vast satellite, drone, and communication data.

Autonomous Systems: Militaries deploy uncrewed vehicles using AI for navigation, independent targeting, and swarm tactics.

Cyber Warfare: AI detects network anomalies in real-time to prevent breaches, while offensive algorithms automate exploit discovery.

Information Warfare: Generative AI is utilized to scale propaganda through deepfakes and personalized messaging, while defensive AI tools track and mitigate coordinated disinformation campaigns.

Predictive Maintenance: Machine learning algorithms analyze telemetry from aircraft and armored units to estimate equipment lifespan, enabling preemptive maintenance.

Border and Maritime Surveillance: AI uses facial recognition and fingerprinting to monitor crossings, identify smuggling, and track submarine activities.

How Does AI Strengthen National Security?

Accelerating the Kill Chain: AI-assisted targeting and intelligence processing compresses the observe-orient-decide-act (OODA) cycle to fractions of a second.

Comprehensive Situational Awareness: AI data fusion creates a unified, predictive operational picture from fragmented intelligence.

Reducing Personnel Risks: Autonomous systems and drone swarms minimize human casualties in high-threat zones.

Cognitive Enhancement: AI neurotech improves military decision-making and resilience under high stress.

Neutralizing Disinformation: AI identifies deepfakes and synthetic media, shielding democratic discourse from malicious actors.

What Challenges and Risks Does AI Pose?

Algorithmic Bias: Dataset biases risk misidentifying civilians as targets, breaching International Humanitarian Law distinction principles.

Out-of-Distribution Failures: Neural networks may fail when deployed in environments differing from their specific training data.

Adversarial Attacks: Adversaries may use "data poisoning" to inject malicious data into training sets, creating backdoors or causing misclassification of friendly forces without detection.

Strategic Instability: Rapid AI decision-making reduces human intervention time, risking accidental escalation or nuclear conflict if actions are misinterpreted as imminent attacks.

Cognitive Warfare: AI-driven deepfakes and propaganda fuel psychological warfare, risking public manipulation and eroded institutional trust.

Responsibility Gaps: Lethal autonomous weapons complicate liability, making it unclear whether programmers, operators, or states are accountable for unlawful machine attacks.

Where Does India Stand in AI for National Security?

Institutional Framework: India established the Defence AI Council (DAIC) for strategic direction and the Defence AI Project Agency (DAIPA) as an executive arm.

The ETAI Framework: Released in 2024, the Evaluating Trustworthy AI (ETAI) Framework mandates strict safety, reliability, and human-in-the-loop oversight for all high-risk autonomous systems utilized by the military.

The M.A.N.A.V. Doctrine: India advocates a human-centric AI philosophy anchored in Moral and Ethical Systems, Accountable Governance, National Sovereignty, Accessible AI, and Valid/Legitimate Systems.

Innovation Ecosystem: Through the ADITI scheme and iDEX, the government provides startups with grants up to ₹25 crore to develop indigenous, deep-tech military capabilities like autonomous weapons and quantum technologies.

What are the Gaps in India’s Preparedness?

Severe Resource Asymmetry: India’s dedicated annual military AI allocation of approximately $46 million represents less than 3% of China's estimated spending on similar AI programs. (Source: Council for Strategic and Defense Research)

Data Fragmentation: Unintegrated legacy systems across the Indian Armed Forces hinder the unified data architecture vital for Joint All-Domain Command and Control.

Rotation Policies: Frequent officer rotations prevent the sustained technical specialization needed to manage complex AI algorithms.

Outdated Procurement: Lengthy, hardware-focused defense processes are incompatible with agile AI software update cycles.

External Dependency: Relying on foreign suppliers for sensors and AI models creates supply chain risks and potential data exposure.

What Should Be the Way Forward for India?

Unified Defense Data Cloud: Establish a permanent Directorate of AI under the Integrated Defence Staff to oversee a secure, tri-service data cloud that breaks down existing institutional information silos.

Ring-Fenced Fiscal Allocation: Earmark a specific portion of the capital defense budget solely for AI software, infrastructure, and R&D.

Agile Procurement Models: The Ministry of Defence should use flexible contracting to decouple software updates from slow hardware cycles, enabling rapid algorithmic iteration.

Specialized AI Cadre: Reform rotation policies to build a specialized AI cadre while simultaneously adopting lateral recruitment to bring in civilian data scientists and cybersecurity experts.

Design-Phase Compliance: New capital acquisitions must mandate AI-interoperability from the start to avoid legacy system retrofitting issues.

Global Standards Advocacy: India should promote mandatory military AI safety and performance standards, prioritizing engineering reliability over outright bans.

Conclusion 

India can secure sovereignty in algorithmic warfare by increasing funding, integrating data, and strengthening human-centric indigenous innovation.

Source: INDIAN EXPRESS