Agentic AI
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Machine Identities
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The Future of AI & Cybersecurity
AI agents are no longer theoretical. They are actively reshaping how enterprises operate, defend, and compete. From automating workflows to strengthening cyber defenses, agentic AI is delivering efficiency at scale. At the same time, it is introducing a new category of risk that is autonomous, fast moving, and often difficult to fully understand or control.
At the core of this shift is the rapid growth of non-human identities. As organizations expand cloud adoption, enable remote work, and deploy AI at scale, machine identities are multiplying quickly and often outnumber human users by a significant margin. Despite this, most security frameworks remain built around a human-centric model of identity and access.
For security leaders, this creates a pressing challenge. Managing human identity is already complex. Securing an environment where the majority of access is driven by AI agents requires a fundamentally different approach.
This session explores how organizations can rethink identity and access strategies to address the realities of an AI-driven enterprise.
- The scale and complexity of AI agents and machine identity growth across the enterprise;
- How to identify and manage the risks associated with unsanctioned AI usage while maintaining business momentum;
- How leading organizations are evolving identity governance to account for non-human identities and automated access.
You will leave with a clearer understanding of how to modernize access control strategies and strengthen security in an environment increasingly shaped by AI agents.
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