Conference Description
Key Takeaways
- Focuses on the dual challenge of using AI for cyber defence and securing AI systems against emerging threats
- Addresses LLM prompt injection, adversarial attacks, and AI governance at board level
- Includes hands-on workshops, live incident response exercises, and red team demonstrations
- Targets CISOs, security practitioners, AI engineers, and professionals from critical infrastructure sectors
- Organised by CSA Bangalore Chapter and CyBe Global at NIMHANS Convention Centre, Bengaluru
Introduction
The CyBe AI Summit 2026 brings together security leaders, practitioners, and AI professionals in Bengaluru to address one of the most pressing challenges facing organisations today: the complex relationship between artificial intelligence and cybersecurity. As enterprises accelerate AI adoption across operations, they face a dual imperative—harnessing machine learning capabilities to strengthen defences while simultaneously protecting AI systems from a new generation of threats. This summit, organised by the CSA Bangalore Chapter and CyBe Global, provides a platform for examining both sides of this equation through technical sessions, executive discussions, and practical exercises.
About This Event
Held at the NIMHANS Convention Centre, the summit convenes over 1,000 professionals for a multi-track programme spanning keynote presentations, live demonstrations, interactive debates, and hands-on workshops. The event draws a significant executive contingent, with more than 100 CXO-level attendees expected alongside security operations centre analysts, threat intelligence specialists, and AI engineering teams. Rather than following a conventional conference format, the programme emphasises practical skill development and collaborative problem-solving, with crisis simulations and red teaming exercises designed to test real-world response capabilities.
AI as Both Shield and Attack Surface
The summit’s technical agenda reflects the bidirectional nature of AI in security contexts. Sessions examining AI-powered defence explore how machine learning models can enhance threat detection, automate incident response, and identify anomalous behaviour across enterprise networks. These capabilities have become increasingly important as attack volumes and sophistication outpace traditional rule-based detection methods.
Equally prominent are discussions around securing AI systems themselves. Large language models and machine learning pipelines introduce novel vulnerabilities that conventional security frameworks were not designed to address. Prompt injection attacks against LLMs, adversarial inputs that manipulate model outputs, and data poisoning during training represent emerging threat categories requiring specialised defensive approaches. The summit dedicates significant attention to these AI-specific risks, acknowledging that organisations deploying AI systems must treat them as critical assets requiring dedicated security controls.
Operational Technology and Sector-Specific Challenges
Beyond enterprise IT environments, the programme addresses security considerations for operational technology and industrial control systems. Critical infrastructure operators in manufacturing, energy, and healthcare face distinct challenges when integrating AI capabilities into environments where availability and safety take precedence over confidentiality. These sectors must balance the operational benefits of AI-driven monitoring and predictive maintenance against the risks of introducing connected systems into previously isolated networks.
The summit examines how different industries are navigating these trade-offs, with particular attention to regulatory requirements and risk tolerance variations across sectors. Financial services organisations, for instance, operate under different compliance frameworks than manufacturing facilities, yet both must develop coherent strategies for AI governance and security.
Leadership and Governance in the AI Era
Technical sessions are complemented by executive-level discussions addressing how security leaders can communicate AI risks to boards and senior management. As AI systems become embedded in business-critical processes, security teams must articulate threats in terms that resonate with non-technical stakeholders while advocating for appropriate investment in defensive capabilities. The summit includes sessions specifically designed to bridge the gap between technical practitioners and board-level decision makers, recognising that effective AI security requires organisational alignment beyond the security function.
Who Should Attend
The summit serves multiple professional constituencies. CISOs and security executives will find strategic content addressing governance frameworks and leadership challenges, while SOC analysts and security engineers can participate in technical workshops and live demonstrations. AI engineers, MLOps practitioners, and data scientists responsible for building and deploying machine learning systems will benefit from sessions focused on securing AI pipelines and model integrity. Students and early-career professionals have opportunities to engage with established practitioners and explore career pathways in AI security.
Building Future-Ready Security Capabilities
The CyBe AI Summit 2026 arrives at a moment when organisations across India are grappling with how to operationalise AI securely. The convergence of AI adoption pressures, evolving threat landscapes, and regulatory scrutiny creates an environment where security leaders must develop new competencies rapidly. By combining strategic discussions with practical exercises, the summit aims to equip attendees with both the conceptual frameworks and technical skills necessary to navigate this transition.