AI Agent Security
Governing autonomous AI through identity
As AI systems evolve from tools to autonomous agents, security must evolve with them. This pillar explores how to govern AI agents through identity-scoped boundaries, examining authentication and authorization for agentic architectures, AI guardrails, model governance, and the emerging challenge of machine-to-machine trust in AI-driven workflows. We address the ICACC framework for AI agent credential and capability control.
Key Topics
Posts in This Pillar
3 articlesAI Agent Fundamentals
Understand agentic architectures, tool use, and autonomous decision-making
Identity for AI
Learn how to authenticate and authorize AI agents in enterprise environments
ICACC Framework
Master the Identity-Centric AI Agent Credential and Capability Control model
Guardrails Engineering
Implement safety boundaries, output filtering, and human oversight mechanisms
Want to dive deeper?
Subscribe to get notified when new content is published in this pillar, or explore other research domains.