DRDO has significantly pivoted toward “AI-first” defence strategies with two key entities: the Centre for Artificial Intelligence and Robotics (CAIR) in Bengaluru and the DRDO Young Scientist Laboratory – Artificial Intelligence (DYSL-AI).
The Defence Research and Development Organisation (DRDO) is now prioritizing an “AI-first” approach for its defence strategies. As of 2026, the core focus of these initiatives is to ensure “decision superiority” by leveraging autonomous systems, real-time data analytics, and domestically developed AI platforms.
The DRDO’s AI roadmap is primarily driven by two main entities: the Centre for Artificial Intelligence and Robotics (CAIR), located in Bengaluru, and the DRDO Young Scientist Laboratory – Artificial Intelligence (DYSL-AI).
AI Platforms & Systems: The Pillars of Autonomy
- SAMADH (Situational Awareness for Aerial Drones): The sovereign AI platform, launched in early 2026, is engineered for real-time situational awareness. Its scalable architecture is specifically designed to manage multi-domain warfare scenarios, particularly in autonomous and swarm-drone environments.
- Trigun & IMSAS: The Centre for Artificial Intelligence and Robotics (CAIR) developed the Indian Maritime Situational Awareness System (IMSAS). This system utilizes AI and data analytics to generate a comprehensive global maritime picture, providing the Navy with real-time identification of merchant ships, warships, and submarines.
- Muntra: DRDO has integrated AI into robotics for ground-based missions, exemplified by an Unmanned Ground Vehicle (UGV) designed for surveillance and reconnaissance operations.
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Specialized Research Areas
DRDO laboratories are currently focused on a few key machine learning (ML) fields with significant impact:
- Computer Vision: Specifically used for the automated identification and categorization of objects within satellite and airborne imagery, particularly through the capabilities of DYSL-AI.
- Natural Language Processing (NLP): CAIR focuses on autonomous document summarization and machine translation (e.g., Hindi-to-English) specifically for intelligence reports.
- Cognitive Radars: Improving detection in cluttered environments through waveform adaptation, achieved by utilizing reinforcement learning.
- Generative AI & Cybersecurity: To combat information warfare, initiatives are focused on deepfake detection and the generation of synthetic images.
Collaborative Ecosystem (DIA-CoEs): AI Research Specializations
To bridge the gap between theoretical research and frontline technology, DRDO has established 15 Industry-Academia Centres of Excellence (DIA-CoEs) across India. Key AI-related verticals include:
- IIT Jodhpur: Focuses on AI for information warfare and war gaming.
- Gujarat University: Specializes in AI-driven vulnerability analysis and blockchain forensics.
- IIT Madras: Researches AI-based predictive maintenance and autonomous combat vehicle technologies.
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Operational Modernization
The 2026 updates underscore a significant integration of AI into military infrastructure. For example, recent naval additions, specifically the Next Generation Offshore Patrol Vessels (NGOPVs), are now equipped with AI systems for Predictive Maintenance, enabling the identification and forecasting of machinery failures.
- Targeting & Safety: Directed Energy Weapons, such as the DURGA-II laser system, are incorporating AI-driven targeting. This integration is designed to enhance precision and effectively mitigate the risk of accidental friendly fire (fratricide).
DRDO’s AI strategy is defined by a sophisticated integration of autonomous hardware and intelligent software. India is quickly bridging the defense technology gap with global leaders by cultivating a cooperative network, the DIA-CoEs, that closes the gap between the military, academia, and private industry.
The core objective remains to secure the nation’s borders with a defense system that is not only robust but also computationally advanced, as these systems transition from development to operational deployment. By prioritizing self-reliance and rejecting non-secure, foreign AI platforms, DRDO is committing to an indigenous, code-based future for Indian defense.
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