AI and Cyber Threats: How Artificial Intelligence Is Transforming Offensive Cyber Operations Against India

Cybersecurity / Science & Technology · Monday, 24 August 2026

Artificial Intelligence is weaponising cyber operations against India—enabling automated reconnaissance, polymorphic malware, autonomous zero-day discovery, and large-scale deepfake phishing at machine speed, far outpacing traditional defensive frameworks. India ranked second-most cyber-attacked nation globally in 2024 and sixth in 2025, with state-sponsored groups targeting critical national infrastructure including the Kudankulam Nuclear Power Plant and defence establishments during Operation Sindoor.

Quick highlights

India ranked 2nd most cyber-attacked nation globally in 2024 and 6th in 2025 (CloudSEK data).
Ransomware groups claimed breaches of data linked to Kudankulam Nuclear Power Plant, India's largest nuclear facility.
During Operation Sindoor, Pakistan-backed APT36 targeted MoD, Army, Navy, DRDO, NIC, and BOSS Linux.
Generative AI reached 1 billion users in 3 years vs. 15 years for the internet—democratising offensive cyber tools.
AI enables polymorphic malware that self-mutates in real time, bypassing static antivirus signatures.
CERT-In has operationalised AI-driven threat detection, sandbox assessments, and the Certified Security Professional in AI (CSPAI) programme.

Context

A cybersecurity analysis highlighted how AI is transforming offensive cyber operations against India into automated, scalable, and autonomous campaigns. The convergence of Large Language Models (LLMs), machine learning algorithms, and autonomous AI agents across the cyber kill chain has fundamentally shifted offensive cyber warfare from human-speed operations to machine-speed execution, enabling attackers to conduct reconnaissance, generate malware, and exploit vulnerabilities with minimal human intervention.

Key Facts

India's threat ranking: 2nd most cyber-attacked nation (2024), 6th (2025) per CloudSEK. Kudankulam Nuclear Power Plant: Ransomware group World Leaks claimed breach of data and blueprints. Operation Sindoor: Pakistan-backed APT36 targeted Ministry of Defence, Army, Navy, DRDO, National Informatics Centre (NIC), and BOSS Linux. Generative AI: Crossed 1 billion users in 3 years (vs. 15 years for the internet). AI threats: Automated spear-phishing via LLMs, polymorphic malware, autonomous agentic espionage (e.g., Chinese GTG-1002), zero-day discovery (e.g., Claude Mythos model), OT/ICS targeting. India's response: CERT-In AI-driven threat detection; MeitY synthetic content regulation; CSPAI (Certified Security Professional in AI); Pax Silica multilateral partnership.

Significance

AI-driven cyber threats represent an existential risk to India's critical national infrastructure (CNI)—power grids, nuclear facilities, banking systems, and defence networks. The democratisation of offensive AI tools lowers the barrier for both state and non-state actors to launch sophisticated attacks. India's heavy reliance on foreign hardware, proprietary operating systems, and foreign-hosted cloud infrastructure creates structural vulnerabilities that cannot be patched with traditional cybersecurity tools. Developing sovereign AI capabilities is therefore a matter of national security, not merely technological aspiration.

Challenges / Way Forward

Challenges: (1) Underdeveloped sovereign AI stack—India lags in foundational models, advanced GPUs, chip design, and HPC clusters. (2) Foreign technology dependency—imported hardware and foreign-hosted cloud creates structural vulnerabilities. (3) Inadequacy of legacy perimeter defences against self-evolving polymorphic AI malware. (4) Expanding IoT/smart-city attack surfaces. (5) Acute shortage of AI-cybersecurity talent trained in ML threat hunting and automated incident response. Way Forward: Invest in sovereign foundational AI models and domestic semiconductor supply chains; deploy autonomous machine-speed defensive systems (anomaly detection, auto-patching); mandate zero-trust architectures and air-gapping for all CNI (nuclear, defence, banking); enact statutory AI liability frameworks requiring pre-deployment red-team testing; engage strategically through Pax Silica for joint cyber threat intelligence.

Exam Angle

GS Paper III: Internal security, cybersecurity, emerging technologies, critical infrastructure protection. GS Paper II: Governance, e-governance, digital infrastructure. Prelims: CERT-In = Computer Emergency Response Team–India; APT36 = Advanced Persistent Threat 36 (Pakistan-backed); CNI = Critical National Infrastructure; OT = Operational Technology; ICS = Industrial Control Systems; BOSS Linux = Bharat Operating System Solutions; CSPAI = Certified Security Professional in AI; CloudSEK = cybersecurity intelligence firm. Mains angle: 'Discuss the components of cybersecurity. Explain various mechanisms available at different levels to handle AI-driven cyber threats.' Also relevant: Digital Personal Data Protection Act, IT Act Section 70 (critical infrastructure), NCIIPC.

Remember this

India ranked 2nd most cyber-attacked nation globally in 2024 and 6th in 2025 (source: CloudSEK).
APT36 = Pakistan-backed Advanced Persistent Threat group; targeted MoD, DRDO, NIC, BOSS Linux during Operation Sindoor.
World Leaks ransomware group claimed breach of Kudankulam Nuclear Power Plant data.
Generative AI crossed 1 billion users in 3 years; internet took 15 years for the same milestone.
Polymorphic malware: AI-generated code that self-mutates in real time, bypassing static antivirus signatures.
CERT-In = Computer Emergency Response Team–India; nodal agency for cybersecurity incident response.
CSPAI = Certified Security Professional in AI—India's AI-focused cybersecurity certification programme.
Pax Silica: Multilateral grouping for trusted cyber threat intelligence and secure hardware supply chains.

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