AI with Zero Trust Security

About this episode

The episode discusses adopting a Zero Trust approach to enhance security in the context of AI and automation.

Adopt a Zero Trust approach that lets you verify every access request—human, machine, or AI—before it reaches your most critical resources. As AI agents, semantic search, and automation accelerate how work gets done, you can reduce risk by explicitly validating identity, enforcing least-privilege access, and assuming breach across every step of your environment. Apply layered, continuous protection across identities, endpoints, networks, data, AI resources, applications, and infrastructure so attackers can't exploit any weak links. Michael Madrigal, Security Product Manager, shares how you can protect productivity and keep pace with an evolving threat landscape, by continuously assessing risk, securing resources at runtime, and adapting policies as conditions change. ► QUICK LINKS: 00:00 - Zero Trust for AI 01:41 - Overview of Zero Trust 02:43 - Identities 04:38 - Endpoints 04:50 - How Zero Trust applies to your network 06:51 - How Zero Trust applies to your data 07:31 - How Zero Trust applies to AI resources 08:24 - App Layer 08:31 - Infrastructure 09:49 - Security 10:23 - Wrap up ► Link References Check out https://aka.ms/GoZeroTrust Watch our series at…

People in this episode

Guest: Michael Madrigal

Topics covered

• Zero Trust
• AI Security
• Risk Management
• Identity Protection

Keywords

• access request
• least-privilege access
• continuous protection
• threat landscape

Mentioned in this episode

Products: Zero Trust Security

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