Webinar Description
Key Takeaways
- Half-day virtual conference focused on enterprise AI infrastructure
- Covers data readiness, access controls, and non-human identity management
- Keynote from Forrester Research examining agentic AI and responsible AI practices
- Designed for security, AI, and data professionals at practitioner and leadership levels
Introduction
The AI Infrastructure Summit is a virtual conference addressing the foundational technologies, architectural decisions, and governance frameworks that underpin enterprise AI deployments. As organisations move beyond experimental AI projects toward production-scale implementations, questions around data management, security controls, and identity governance have become increasingly urgent. This event brings together security, AI, and data professionals to examine these interconnected challenges.
About This Event
Structured as a half-day programme with a single-track format, the AI Infrastructure Summit delivers three focused sessions that allow attendees to engage deeply with each topic rather than choosing between concurrent presentations. The virtual delivery model makes the conference accessible to practitioners regardless of location, removing travel barriers while maintaining opportunities for concentrated learning.
Data Readiness and Access Controls for AI Systems
Two of the summit’s sessions address fundamental prerequisites for trustworthy AI infrastructure. Data readiness encompasses the processes organisations must establish to ensure their information assets are suitable for AI consumption—including data quality, lineage tracking, and appropriate formatting for machine learning workloads. Without robust data foundations, even sophisticated AI models produce unreliable outputs.
Access controls represent an equally critical consideration as AI systems interact with sensitive enterprise data. Traditional permission models designed for human users often prove inadequate when applied to automated processes that may query vast datasets at machine speed. The summit examines how organisations can implement granular controls that balance AI system functionality against data protection requirements.
Identity Management for Non-Human Agents
The emergence of agentic AI—systems capable of autonomous decision-making and action—introduces novel identity challenges that enterprise security teams must address. Unlike traditional software services with predictable behaviour patterns, AI agents may initiate unpredictable sequences of operations across multiple systems. Establishing identity frameworks for these non-human actors requires rethinking authentication, authorisation, and audit mechanisms originally designed around human users and their sessions.
Forrester Research Keynote on Agentic AI and Responsible AI
The summit features a keynote presentation from Forrester Research exploring how agentic AI is reshaping responsible AI practices. As AI systems gain greater autonomy, the governance frameworks organisations have developed for supervised machine learning applications require significant evolution. The keynote addresses how enterprises can maintain accountability and ethical oversight when AI agents operate with increasing independence.
Who Should Attend
The AI Infrastructure Summit is designed for professionals working at the intersection of security, artificial intelligence, and data management. Both practitioners implementing technical solutions and leaders setting strategic direction will find relevant content. The programme particularly suits those responsible for building AI platforms, establishing governance policies, or securing AI-enabled applications within enterprise environments.