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.

This white paper introduces Trusted Security Governance Platforms (TSGP), a new class of security infrastructure designed to govern critical operations in complex digital systems.

Modern infrastructures such as cloud platforms, AI systems, large software supply chains and distributed environments introduce architectural challenges where security policies must be enforced across partially trusted infrastructures.

Cloud computing infrastructures have become the dominant platform for modern digital systems. Governments, industries and technology companies increasingly rely on cloud environments to host critical workloads, including financial systems, industrial platforms and artificial intelligence infrastructures.

Modern digital infrastructures are becoming increasingly complex and interconnected.

Artificial intelligence infrastructures concentrate large volumes of sensitive data, proprietary models and strategic operational knowledge.

Protecting these assets is challenging because AI workloads must process data in clear form during training and inference.

ProvenRun demonstrates ProvenCore for securing…

Isolate Security-Critical Applications on Zynq…

Hypervisor and security Connected devices…

Introduction Using deductive formal methods…