IFSEC AI & Cyber Security Conclave 2026 in Collaboration with NICSI on 12th Sep, New Delhi

As India scales economically and digitally, security must evolve in parallel—becoming more intelligent, integrated, and future-ready. Artificial Intelligence (AI) is changing the world of security by making video surveillance systems better, particularly through artificial intelligence surveillance. The AI-powered video surveillance market is expected to reach approximately USD 22 billion by 2027, driven by the need for advanced analytics in security, public safety, and business.

IFSEC AI & Cyber Security Conclave 2026 is a one-day conference on 12th Sep in Hotel Pride Plaza, New Delhi in collaboration with the National Informatics Centre, MeitY (NICSI) to address evolving digital dedicated to exploring the advancements in AI & Cyber Security in Industrial and Homeland Security. It will bring together policy makers and thought leaders from government and industry to dwell upon how AI helps strengthen security, reduce human error, and practical applications in real-world scenarios for a more secure and efficient environment.

AI can detect threats with precision and speed by analyzing and monitoring video data. AI-powered surveillance solutions automate many tasks. Security becomes more effective, reliable, and cost-efficient. It enhances human input with AI’s speed and precision saving time and money. This is much better than having security personnel monitor video feeds, which can often lead to missed threats due to human error or fatigue.

One of the best aspects of using AI in video surveillance is the ability to search through videos more quickly. Looking for specific activities or objects within large amounts of footage is like looking for a needle in a haystack. However, by quickly scanning through mountains of data, video analysts can find relevant incidents or objects for faster and more accurate investigations.

The globally-connected organizations of today rely on a network of interconnected systems to operate, and any of those individual systems can present security weaknesses. While offering advanced features like remote access, real-time analytics, and high-resolution recording, these enhancements also introduce complex cybersecurity vulnerabilities, exposing video data and system integrity to cyber threats.

If a cyber attack targets a video surveillance system, the consequences can be serious—hackers might gain access to live video feeds, alter or delete recorded footage, or even shut down the system completely, leaving important areas unprotected. This not only puts the physical security of your property at risk but also exposes sensitive information, such as employee identities, access codes, or security protocols.

If this data is stolen, it can lead to data breaches where unauthorized individuals gain access to restricted areas, financial data, or personal information. Such breaches can result in legal troubles, financial losses, and severe damage to an organization’s reputation. In places like government buildings, critical infrastructure, or banks, the impact of such an attack could be devastating, affecting public safety and disrupting essential operations.

Objective

The proposed one-day conclave aims to convene senior government and critical-infrastructure decision-maker CSOs in private industry to examine the bi-directional relationship between AI and cybersecurity — the effects of AI on cybersecurity, and the effects of cybersecurity risks on how AI systems must be governed, evaluated, and deployed. The focus will be on buy-side decision-making, institutional accountability, and long-term risk, not technology promotion.

Format

• One-day, closed-door, invite-only event
• Senior policy, security, and infrastructure leadership from government, PSUs, and CSOs from private industry
• Non-commercial, non-promotional discussions with curated, exclusive participants 

Indicative Stakeholder Participation:

• Ministries of Home Affairs, MEITY, MoRTH, MoHUA.
• Govt depts such as Niti Aayog, Data Security Council of India (DSCI), Cert-in, STQC, BIS, BPR&D, Delhi Metro, Delhi Police, Noida Police, Gurugram Police, paramilitary forces, NICSI, NIC, etc.
• CSOs from public/private sector across industry verticals
• Academic, standards, and assurance institutions

Key Speakers

Indicative High-Impact Discussion Areas

1. When AI Becomes a Single Point of Failure in National Security Systems

   How increased reliance on AI in surveillance, cyber defence, and infrastructure control can amplify systemic risk if not governed correctly.

2. New Attack Surfaces Created by AI-Driven Security Architectures

   How AI models, data pipelines, and automation layers introduce cyber vulnerabilities beyond traditional security controls.

3. Trusting What Cannot Be Explained: Auditability and Assurance Gaps in AI-Based Security Systems

   Governance challenges created by opaque or black-box AI systems in public-sector security deployments.

4. Buying AI Security Without Buying Risk: Frameworks for Evaluating AI-Based Security Vendors

   A focused, buy-side discussion on how government and infrastructure operators should assess AI-based security solutions, covering:

   • Model transparency and explainability
   • Data ownership and sovereignty
   • Long-term vendor dependency and lock-in
   • Lifecycle risk and system resilience
     
     
5. Human Authority vs Machine Judgment: Are Institutions Ready for AI-Influenced Security Decisions?

   Assessing policy, organisational, and human readiness as AI systems increasingly influence or recommend security actions.

Strategic Linkage between this conclave and IFSEC Conference on 3, 4 December 2026

This conclave is proposed as a strategic precursor to the IFSEC India Conference 2026, helping frame governance and decision-level questions that will later be explored through operational and technology-led discussions at the IFSEC Conference 2026 at Bharat Mandapam.

Why This Conclave Matters

• AI-related security risks are already operational, not theoretical.
• Decisions taken today will define long-term dependency, trust, and accountability.
• There is currently no focused, buy-side, governance-led national forum examining the AI–cybersecurity relationship in an integrated manner.