AIIMS Patna has signed an MoU with the Centre for Development of Advanced Computing (C-DAC) to jointly develop robust cybersecurity frameworks tailored for AI-driven healthcare systems. The collaboration focuses on protecting sensitive patient data, securing AI models against adversarial attacks, and ensuring safe deployment of AI tools in clinical environments addressing rising cyber threats in India’s rapidly digitizing public hospitals.

Glimpse:

Under the partnership, C-DAC will provide advanced cybersecurity research and tools, while AIIMS Patna contributes real-world clinical and AI deployment insights. Key focus areas include encryption of health data, threat detection in AI workflows, secure federated learning for multi-hospital AI models, and compliance with DPDP Act and ABDM security standards. The initiative aims to create India-specific cybersecurity guidelines and solutions that protect AI-powered diagnostics, telemedicine, and EHR systems in resource-constrained public settings.

The All India Institute of Medical Sciences (AIIMS) Patna and the Centre for Development of Advanced Computing (C-DAC) have formalized a strategic partnership through a Memorandum of Understanding (MoU) to advance cybersecurity for AI applications in healthcare. The agreement, signed in early 2026, responds to the growing convergence of AI adoption and cyber risks in India’s public health ecosystem.

As AI tools such as imaging analysis, predictive triage, and clinical decision support become integral to hospital operations, they introduce new vulnerabilities: data poisoning, model inversion attacks, adversarial inputs, and ransomware targeting AI-integrated systems. AIIMS Patna, already implementing several AI solutions, and C-DAC, India’s premier R&D organization in advanced computing and cybersecurity, are combining forces to build proactive defenses.

The collaboration will prioritize:

Secure AI model development techniques to harden models against adversarial attacks and ensure robustness in clinical use Data protection & privacy-preserving AI federated learning, homomorphic encryption, and differential privacy methods suitable for multi-institutional health data Threat monitoring & response AI-driven anomaly detection tailored to healthcare traffic patterns and rapid incident response protocols Capacity building joint training programs for clinicians, IT teams, and researchers on secure AI practices Policy & standards contribution developing India-specific cybersecurity guidelines for AI in public hospitals, aligned with ABDM, DPDP Act, and global frameworks

The partnership leverages AIIMS Patna’s real-world deployment experience and large patient volumes for testing, while C-DAC brings expertise in high-performance computing, cryptography, and national cybersecurity projects. Initial projects will focus on securing radiology AI and telemedicine platforms, with plans to scale solutions across other AIIMS campuses and public hospitals.

This MoU underscores the critical need to treat cybersecurity as a foundational requirement not an afterthought in India’s AI-for-health journey.

“AI can transform healthcare only if we first make it secure. This partnership ensures that innovation in AI never comes at the cost of patient safety or data trust.”