AI and the National Security Calculus

Context

The integration of Artificial Intelligence into high-stakes military operations reached a turning point. Reports indicate that the U.S. military has incorporated Anthropic’s Claude AI into its "kill chain", using it for real-time target identification and legal approval during strikes in West Asia. This marks a shift from AI as a supportive tool to a core component of kinetic warfare.

About the National Security Calculus

What it is?

The "National Security Calculus" is the strategic framework nations use to assess how AI—a dual-use technology—reshapes the global balance of power. Unlike nuclear technology, which is government-bound and scarce, AI is driven by private-sector innovation, mathematical models, and widely available semiconductors.

Data and Statistics:

Operational Speed: In the first 24 hours of the 2026 Iran conflict, AI targeting tools allowed the U.S. to strike over 1,000 targets, prioritizing threats faster than human cognitive limits.
Industrial Espionage: Anthropic recorded 16 million unauthorized exchanges targeting its Claude model from roughly 24,000 accounts linked to foreign state-sponsored labs.
Indian Cybersecurity Growth: India’s information security spending is projected to reach $3.4 billion in 2026, an 11.7% increase driven by the need to counter AI-led threats.
Compute Sovereignty: Under the IndiaAI Mission, India has onboarded over 38,000 GPUs, with a goal of 100,000 to provide subsidized compute for national security.

Role of AI in National Security

Surveillance & Reconnaissance: AI-enabled drones provide real-time monitoring of difficult terrains. The Indian Army recently integrated AI-driven swarm drones for automated patrol along the Line of Actual Control (LAC).
Predictive Analysis: Machine learning identifies patterns in adversary communications. The National Security Council Secretariat (NSCS) uses these models for national security impact assessments.
Cyber Defense: Protecting grids from polymorphic malware. Post-2025, India deployed AI-driven Security Operation Centres (SOCs) across its power grids to detect near-instantaneous intrusions.
Internal Security: During the Maha Kumbh 2025, police utilized 2,700 AI-enhanced cameras to monitor crowd density and flag individuals with criminal records in real-time.
Autonomous Logistics: The iDEX program has funded startups developing AI-powered autonomous underwater vehicles (AUVs) to reduce human risk in naval operations.

Key Initiatives

IndiaAI Mission: A ₹10,372 crore program focused on sovereign compute and "Safe and Trusted AI" frameworks.
BharatGen: The world’s first government-funded multimodal LLM, supporting 22 Indian languages to ensure Cognitive Sovereignty.
iCET (U.S.-India): A bilateral partnership to co-develop defense AI and secure semiconductor supply chains.
AI Governance Guidelines (2026): A framework released at the New Delhi Summit to regulate autonomous weapons and surveillance ethics.

Challenges

The "Black Box" Problem: It is often impossible to explain why an AI made a specific lethal decision, making it difficult to distinguish between a software bug and a cyber-attack.
Foreign Stack Dependency: Relying on proprietary U.S. or open-source Chinese models risks "kill switches" or covert surveillance by foreign interests.
AI-Driven Disinformation: Deepfakes are increasingly used to incite communal tension or manipulate democratic processes, as seen in regional elections in 2025.
Export Control Evasion: Despite restrictions, reports in 2026 suggest high-end Nvidia Blackwell chips are being utilized globally through proxy services to train rival models.

Way Forward

Sovereign Infrastructure: Training models on locally relevant, diverse Indian datasets to ensure independence.
Universal Red Lines: Global agreements to maintain meaningful human control over lethal autonomous weapons.
AI Red-Teaming: Establishing dedicated units within the Armed Forces to stress-test AI systems against adversarial attacks.
Ethical Auditing: Moving toward "Responsible AI 2.0," featuring continuous, auditable assurance for all military AI deployments.

Conclusion

The integration of AI into the national security calculus signals the transition from traditional warfare to algorithmic competition. For India, the challenge is to harness the tactical speed of AI while maintaining the ethical accountability of human judgment. True security in this era will depend on achieving technological sovereignty and an indigenous ecosystem that cannot be overridden by external forces.

AI and the National Security Calculus