liminal webinar
As AI adoption accelerates, so do the risks of model poisoning, data leakage, and unauthorized AI access. Security leaders must move beyond traditional governance frameworks to ensure AI-driven decisions remain secure, transparent, and compliant. Hear from industry experts on how organizations are operationalizing AI data lineage tracking, real-time model monitoring, and adaptive access controls. This session provides a practical overview for building a resilient AI governance strategy that balances innovation with risk management and regulatory demands. In this session, we’ll cover:
- What AI data governance is, and how it differs from traditional data governance and access control
- The risks of AI adoption without dedicated AI security and oversight
- How organizations are detecting shadow AI, model misuse, bias, data poisoning, and protecting sensitive data
- Why foundational data security is a critical requirement for effective AI governance
Backed by insights from Liminal’s upcoming Market & Buyers Guide for Data Security, this webinar will equip data, AI, compliance, and security leaders with a clear understanding of today’s AI data governance landscape—what’s changing, where the risks are concentrated, and how to build a resilient foundation for secure innovation.
Who Should Watch:
CISOs, Chief Data Officers, AI Governance Leaders, Enterprise Data Protection and Security Experts, Regulatory & Compliance Executives, and technology leaders tasked with protecting sensitive data in regulated or AI-enhanced environments.
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