WORKSHOP 1 – AI TRiSM as a Strategic Imperative: Mitigating Risk, Protecting Data, and Building Trust in AI

As artificial intelligence becomes central to digital transformation, organizations must go beyond innovation and address the critical dimensions of trust, risk, and security. AI TRiSM (AI Trust, Risk, and Security Management) is no longer optional, it’s a strategic imperative for any enterprise deploying AI in sensitive, high-stakes environments.
In this session, we’ll explore how IT and cybersecurity leaders can proactively govern AI models and data pipelines to ensure transparency, resilience, and regulatory compliance. Attendees will gain insights into:

– Identifying and mitigating risks in AI development and deployment

– Securing sensitive data used to train and operate AI models

– Ensuring fairness, explainability, and auditability across the AI lifecycle

– Building organizational trust in AI by embedding governance, ethics, and accountability

– Meeting evolving compliance requirements around data privacy and algorithmic bias

Join this conversation to learn how to implement AI TRiSM frameworks that balance innovation with responsible, secure AI practices, paving the way for sustainable adoption and long-term trust.