Artificial Intelligence in Defence

1. Introduction

Artificial Intelligence in Defence refers to the application of AI technologies such as Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), and Robotics to enhance military capabilities, decision-making, surveillance, and combat operations. AI enables defence systems to analyse vast amounts of data, identify threats, and support faster and more accurate decisions with minimal human intervention.

In recent years, AI has emerged as a force multiplier in modern warfare, transforming conventional military operations into network-centric and data-driven warfare. Countries such as the United States, China, Russia, and India are investing heavily in AI-enabled defence systems, including autonomous drones, intelligent surveillance systems, robotic combat vehicles, cyber defence, and predictive maintenance. Recognising its strategic importance, India is integrating AI into its defence ecosystem under the leadership of the Ministry of Defence, DRDO, Defence AI Council (DAIC), and Defence AI Project Agency (DAIPA) to strengthen national security and promote Atmanirbhar Bharat.

2. Applications of Artificial Intelligence in Defence

Intelligence, Surveillance and Reconnaissance (ISR)

AI processes large volumes of data collected from satellites, drones, radars, sensors, and surveillance cameras to detect suspicious activities in real time. It can identify enemy movement, classify military vehicles, and monitor border infiltration much faster than human operators. For example, the Indian Army is deploying AI-enabled surveillance systems along the Line of Actual Control (LAC) and Line of Control (LoC) for continuous monitoring. During Operation Sindoor (2025), AI-assisted surveillance, drones, and sensor fusion played an important role in improving situational awareness.

Autonomous Systems and Unmanned Platforms

AI enables drones and unmanned vehicles to operate with minimal human intervention by automatically navigating, identifying targets, and avoiding obstacles. These technologies are used in Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), Unmanned Surface Vehicles (USVs), and Unmanned Underwater Vehicles (UUVs). India is also developing AI-enabled swarm drones, where multiple drones coordinate and execute missions simultaneously. Such systems reduce risks to soldiers during reconnaissance and high-risk operations. This reflects the growing role of Artificial Intelligence in military operations.

Decision Support and Battlefield Management

Modern battlefields generate enormous amounts of information from multiple sources. AI rapidly analyses this information and provides real-time threat assessment, target prioritisation, and operational recommendations to military commanders. This significantly shortens the OODA Loop (Observe–Orient–Decide–Act), enabling faster and more effective decision-making during combat.

Cyber Defence and Electronic Warfare

Military networks face continuous threats from cyberattacks, malware, and electronic interference. AI-based cybersecurity systems can detect abnormal network activities, identify cyber intrusions, and respond automatically before significant damage occurs. AI is also used in electronic warfare for signal intelligence, radar analysis, communication jamming, and identifying hostile electronic emissions. These applications are an important part of AI in Indian defence.

Logistics and Predictive Maintenance

AI helps optimise military logistics by forecasting the demand for fuel, ammunition, food, and spare parts, ensuring timely supply to operational units. It also supports predictive maintenance, where AI analyses sensor data to identify faults before equipment fails. For example, AI can predict maintenance requirements for fighter aircraft, tanks, naval warships, and helicopters, reducing downtime and maintenance costs while improving operational readiness.

Training and Simulation

AI-powered simulators create realistic battlefield environments for training soldiers, pilots, and naval personnel without the cost and risks of live exercises. AI can also generate dynamic combat scenarios based on the trainee’s performance, improving decision-making and tactical skills under different battlefield conditions.

Precision Weapons and Target Recognition

AI enhances the accuracy of precision-guided weapons by automatically identifying and tracking targets using computer vision and sensor data. It helps distinguish military targets from civilian objects, reducing collateral damage. Several countries, including the United States and Israel, are increasingly integrating AI into precision strike systems and missile guidance technologies. Such developments demonstrate the growing importance of AI and modern warfare.

Border Management and Internal Security

AI is being used to strengthen border security through smart surveillance systems, facial recognition, intelligent cameras, and drone-based monitoring. Along India’s borders, AI assists security forces in detecting infiltration, illegal movement, and smuggling activities. AI is also increasingly used for critical infrastructure protection, crowd management, and anti-drone operations during major national events.

3. India’s AI Initiatives in Defence

• Defence AI Council (DAIC) and Defence AI Project Agency (DAIPA): Established by the Ministry of Defence in 2019 to formulate policies and accelerate the adoption of AI across the Armed Forces. DAIC provides strategic direction, while DAIPA coordinates AI implementation projects.
• AI Roadmap for Defence: Based on the recommendations of the Defence AI Task Force, India identified 70 defence-specific AI projects, of which around 40 have already been completed by Defence Public Sector Undertakings (DPSUs). These projects cover surveillance, autonomous systems, cyber defence, logistics, and battlefield management.
• DRDO’s AI Research: DRDO is developing AI technologies in areas such as computer vision, autonomous navigation, robotics, image analytics, natural language processing (NLP), underwater autonomous systems, and intelligent decision support systems to enhance combat effectiveness. These DRDO AI initiatives are central to India’s efforts in Artificial Intelligence in Defence.
• Promotion of Defence Start-ups: Through initiatives such as iDEX (Innovations for Defence Excellence) and the Technology Development Fund (TDF), the government is encouraging start-ups and MSMEs to develop AI-enabled drones, autonomous vehicles, surveillance systems, and counter-drone technologies. By April 2025, 632 start-ups and MSMEs had been engaged, resulting in 452 defence contracts.
• Operation Sindoor (2025): The operation demonstrated the growing role of AI-enabled surveillance, drones, precision weapons, sensor fusion, and integrated air defence systems in modern warfare. Following the operation, the Ministry of Defence emphasised strengthening capabilities in AI, autonomous systems, data analytics, and secure communication networks for future conflicts.
• Indian Army’s AI and Unmanned Systems Roadmap: The Army has prepared a roadmap for integrating AI, Machine Learning (ML), Big Data Analytics, drone swarms, facial recognition, satellite intelligence, and autonomous reconnaissance systems into operational planning and battlefield management, reflecting the shift towards technology-driven warfare.

4. Challenges, Ethical Concerns and Way Forward

Challenges

• Cybersecurity Risks: AI-enabled defence systems are vulnerable to hacking, malware, GPS spoofing, and electronic jamming, which can compromise military operations. As AI-enabled defence systems become more interconnected, securing them is essential for AI in Indian defence.
• Dependence on Foreign Technology: India still relies on imports for high-end semiconductor chips, GPUs, sensors, and advanced AI hardware, posing strategic vulnerabilities. Reducing this dependence is essential for achieving self-reliance in Artificial Intelligence in Defence.
• High Development Cost: Developing AI-powered autonomous systems, intelligent sensors, and computing infrastructure requires significant financial investment. The cost of developing advanced AI-enabled defence systems can therefore be a major constraint.
• Data and Infrastructure Requirements: AI systems need large volumes of high-quality military data, secure cloud infrastructure, and high-performance computing for effective functioning. Building such infrastructure is a crucial requirement for AI in Indian defence.

Ethical Concerns

• Autonomous Lethal Weapons: AI-enabled weapons capable of selecting and attacking targets without meaningful human intervention raise ethical and legal concerns. The growing role of Artificial Intelligence in military operations makes meaningful human control particularly important.
• Accountability: It is difficult to determine responsibility if an AI-based weapon makes an incorrect decision leading to civilian casualties. This is a major concern as AI and modern warfare become increasingly interconnected.
• AI Bias and Errors: Incorrect or biased algorithms may misidentify targets, resulting in unintended consequences during military operations.

Way Forward

• Strengthen indigenous AI research under DRDO, iDEX, and the IndiaAI Mission to reduce technological dependence and accelerate DRDO AI initiatives.
• Develop robust counter-AI and cybersecurity capabilities to protect military networks and autonomous systems, particularly as AI-enabled defence systems become more widespread.
• Promote collaboration among the Armed Forces, academia, startups, and private industry for defence innovation and strengthen India’s capabilities in Artificial Intelligence in Defence.
• Formulate comprehensive legal and ethical guidelines ensuring meaningful human control over AI-enabled weapon systems and address emerging concerns surrounding Artificial Intelligence in military applications.
• Increase investment in AI talent, semiconductor manufacturing, and high-performance computing infrastructure under Atmanirbhar Bharat, strengthening the technological foundation for AI in Indian defence and preparing India for the changing character of AI and modern warfare.

5. Conclusion

Artificial Intelligence in Defence is rapidly transforming defence by enhancing surveillance, decision-making, autonomous operations, cybersecurity, and battlefield management. For India, AI has become a strategic priority to address evolving security challenges and strengthen indigenous defence capabilities. By promoting responsible AI, indigenous innovation, robust cybersecurity, and ethical safeguards, India can effectively harness AI to build a technology-driven, self-reliant, and future-ready defence ecosystem.

BPSC Mains Practice Question

Discuss the applications of Artificial Intelligence in Defence and examine the major challenges and ethical concerns associated with the use of AI in modern warfare. Suggest suitable measures for India to develop a responsible and self-reliant AI-enabled defence ecosystem.

Learn More About Artificial Intelligence in Defence

For official information on Artificial Intelligence in Defence, AI/ML technologies, autonomous systems, surveillance, robotics, and related defence applications, visit the Defence Research and Development Organisation (DRDO) official website: DRDO – AI/ML Technology