May 28, 2026 | 6 PM | The Centrum, Lucknow
Overview
Uttar Pradesh is rapidly advancing its digital governance — embracing AI, expanding data infrastructure, and modernising public services. But with this growth comes a more complex and evolving cyber threat landscape, making the security of citizen data and AI-driven systems a strategic priority.
The challenge is twofold: deploying AI responsibly to power public services and using AI as a tool for cyber defence - while ensuring AI systems themselves remain secure and trustworthy.
The Cyber Surakshit Uttar Pradesh Summit, themed "Building Secure Uttar Pradesh for a Secured India," will bring together government, industry, and technology leaders to define strategies, frameworks, and solutions for a resilient, AI-ready digital ecosystem, setting a benchmark for the nation.
Key Discussion Themes
- Comprehensive Defence: Deploy AI-enhanced cyber defences for end-to-end protection of networks, data centres, and citizen platforms.
- Operational Resilience: Leverage AI-driven services to guarantee the uptime, integrity, and public trust of digital systems.
- Pre-emptive Neutralization: Implement proactive security to eliminate threats before they impact critical systems or data.
- Real-Time Detection: Utilize AI for instantaneous threat identification and risk assessment across the infrastructure.
- Autonomous Shielding: Deploy Agentic AI for virtual patching to automatically close vulnerabilities without manual intervention.
- Large-Scale Hunting: Automate threat hunting and monitoring to secure complex, wide-reaching government environments.
- Intelligent Response: Accelerate incident resolution through AI-powered security operations and streamlined workflows.
- Regulatory Shielding: Guarantee that citizen data remains fully secure and strictly within designated regulatory boundaries.
- Privacy-by-Design: Integrate a privacy-first architecture into all state-wide digital transformation initiatives.
- National Alignment: Maintain rigorous compliance with India’s national data protection laws and security frameworks.
- Zero Trust Access: Apply strict Zero Trust protocols for secure access across all government LLM ecosystems.
- Dynamic Verification: Enforce continuous authentication and risk-based security models for all AI interactions.
- Model Integrity: Safeguard government-backed private LLMs/SLMs against data tampering and sovereignty breaches.
- Ministers
- Secretaries / Senior Govt Officials
- CISOs / Deputy CISOs
- CTOs / IT Heads
- Senior Directors & General Managers (IT / Digital / Cyber Security)
- Heads of Infrastructure, Platforms & Digital Transformation
- Senior Technology & Security Decision-Makers
Agenda
- Senior government officials from different government departments
- Industry Experts
- Moderator - Editor, Tech Observer Magazine
