Trusted Governance Architectures for Secure AI Agents
Autonomous AI agents capable of reasoning, planning, and invoking external tools are increasingly deployed within enterprise and cloud environments. While these systems enable powerful automation scenarios, they also introduce significant security risks when language-model outputs can directly influence operational systems, credentials, or sensitive resources.
