Agentic Runtime Security Explained: Securing Non‑Human Identities

IBM Technology · Beginner ·🤖 AI Agents & Automation ·3mo ago

Key Takeaways

Agentic Runtime Security and securing non-human identities with accountability, least privilege, and zero trust

Original Description

Ready to become a certified watsonx Generative AI Engineer - Associate? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdpzUm Learn more AI Agent Security here → https://ibm.biz/BdpzUS Agentic AI is the most white hot topic in IT today. Bob Kalka and Tyler Lynch explain how agentic AI, non-human identities, IAM gaps, and runtime security risks shape real-world deployments. Learn how accountability, least privilege, and zero trust keep agentic AI secure. AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdpzUy #agenticai #aisecurity #zerotrust
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This video explains agentic runtime security and how to secure non-human identities using accountability, least privilege, and zero trust. It covers the importance of IAM and runtime security risks in real-world deployments.

Key Takeaways
  1. Understand agentic AI and its security implications
  2. Identify IAM gaps and runtime security risks
  3. Implement zero trust architecture
  4. Apply least privilege principle
  5. Ensure accountability in AI systems
💡 Agentic AI requires a new approach to security, focusing on non-human identities and runtime security risks

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