As enterprises scale AI, the security of models, data pipelines and AI-enabled services becomes critical. This session explores how to protect AI systems from manipulation, data poisoning and misuse. We examine emerging risks, architectural patterns and controls for AI assurance. Participants discuss monitoring, governance and cross-functional alignment. The roundtable highlights what secure AI operations must look like in the coming years.
• Model hardening
• Data integrity
• Abuse prevention
• AI assurance