DataAI Security Executive Masterclass

Can your enterprise trust its AI?

As autonomous AI agents reshape the enterprise, one question matters more than ever: can your AI be trusted?

Join a select group of senior cybersecurity and AI leaders for an exclusive breakfast and masterclass exploring the strategies control, and frameworks needed to enable secure enterprise AI.

One morning. Critical conversations. Practical frameworks for what comes next.

AI Is Changing the Enterprise. Is Your Security Strategy Ready?

Enterprise AI is moving beyond experimentation. Autonomous agents can interact with applications, access sensitive data, and execute tasks across business systems. Traditional, siloed security approaches are no longer enough. 

Security leaders need a unified understanding of how data, identities, permissions and AI systems work together.

The DataAI Security Executive Masterclass brings together expert instruction and peer discussion to help senior leaders navigate the evolving AI security landscape, exchange perspectives, and explore practical approaches to securing AI adoption.

The goal is not simply to manage risk. It is to enable enterprise AI with confidence.

Three Critical Pillars of AI Security

1. Data Security - Understand how to safeguard sensitive data across AI workflows, control access to critical information, and strengthen data protection as AI adoption scales.

2. Identity & Asses Management - Explore how identity, least-privilege access, and governance must evolve to account for autonomous agents, machine identities, and human-AI interactions.

3. AI Security - Examine emerging risks associated with AI models and agentic systems, and discover practical approaches to building security into AI adoption from the outet.

Move Beyond Silos. Build Trust Into AI.

Securing the AI-powered enterprise requires security, data, identity, and AI leaders to work from a shared understanding of risk and responsibility. During this masterclass, participants will explore how to:

• Understand the evolving risk landscape: Identify the security challenges emerging as AI agents gain access, autonomy. and influence. 
• Connect critical security disciplines: Explore the relationship between data protection, identity governance, and AI security.
• Translate insight into action: Identify practical frameworks and priorities that can inform your organization's AI security roadmap.
• Learn from fellow decision-makers: Exchange perspectives on common challenges with a select group of senior industry peers.

Join in Conservation

The future of enterprise AI depends on trust. Be part of the conversation defining how organizations secure and enable AI.

Join a select group of senior cybersecurity, data security, identity, and AI leaders for a focused morning of learning, collaboration, and peer exchange in Dallas.

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