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As organizations rapidly adopt AI-powered applications, agents and automation tools, security leaders are facing a new challenge: applying proven security principles to technologies that were never envisioned when traditional security architectures were designed. As AI becomes more integrated into enterprise operations, organizations must address new risks related to identity, data access, autonomous decision-making and third-party integrations.
Join IANS Faculty Dave Shackleford as he explores how the core pillars of zero trust, including identity and access management, data security, network segmentation, device trust and continuous monitoring—can be adapted to help organizations securely deploy and govern modern AI environments.
During this webinar, attendees will:
- Understand the emerging security and governance challenges associated with AI agents, LLMs and autonomous workflows.
- Examine how zero trust principles can help reduce risks related to AI-driven access, API interactions and sensitive data exposure.
- Explore considerations for securing machine identities, AI applications and supporting infrastructure.
- Learn how to map zero trust controls to modern AI architectures and deployment models.
- Gain practical recommendations for aligning AI security initiatives with enterprise risk management and governance strategies.