🗂️ Maths, Logic & Crypto · View mindmap

• “zero-trust”
  • “ai”
  • “security”
  • “ai-security”
  • “agentic-ai”
  • “least-privilege”
  • “cybersecurity”
  • “attack-surface” aliases:
  • “zero-trust-architecture” group: number-theory-prime-numbers

Zero Trust

A security model requiring continuous verification for every request, assuming no implicit trust regardless of origin. Core principles include least privilege access, micro-segmentation, and never trust, always verify.

Key Principles

• Verify explicitly before granting access
• Enforce least privilege for all entities
• Assume breach in all environments
• Secure all data in transit and at rest

Zero Trust for AI Agents (IBM, Jeff Crume)

• Agentic AI (systems that act, not just think) expands attack surface through API interactions, tool calls, data movement, and sub-agent creation
• Requires Zero Trust applied to:
  • Agent-to-agent communication
  • Agent-to-API call validation
  • Data flow security
  • Sub-agent authorization
• Traditional security models insufficient for autonomous agent ecosystems
• Video Summary (IBM Channel, 2026-04-14): 2026 04 14 Ai zero trust setup IBM channel
  • Speaker: Jeff Crume, IBM Distinguished Engineer
  • Context: Age of Agentic AI—systems that act (API interactions, tool calls, transactions, data movement)
  • Key points:
    • Zero Trust principles applied to AI agents
    • Continuous verification for agent actions
    • Secure data flow and sub-agent authorization

Related Concepts

• ag

Source Notes

• 2026-04-07: NVIDIA NemoClaw Secure Enterprise AI Agent Platform Solving OpenClaw · ▶ source
• 2026-04-21: Claude Mythos · ▶ source