The rise of Copilot Studio has simplified the deployment of AI agents, but this accessibility often leaves security departments blind to "shadow agents" created outside official channels. Trust3 AI aims to bridge this visibility gap by monitoring agent behavior without obstructing the actual data flow. The platform provides a comprehensive suite of features designed to manage risk, including automated discovery of all active agents and their associated data sources.
Trust3 AI Extends Agent Security Controls to Microsoft Copilot Studio
Security teams struggling to track the rapid proliferation of corporate AI agents now have a centralized oversight tool. Trust3 AI launched its Agent Control Plane integration with Microsoft Copilot Studio today, allowing organizations to map, monitor, and instantly disable autonomous agents that operate across their internal data networks.
Beyond simple discovery, the integration offers tamper-evident observability by logging prompts, tool calls, and execution history for forensic analysis. If an agent deviates from corporate policy, security teams can deploy runtime guardrails or trigger a kill switch to halt activity immediately. Furthermore, the system includes an MCP content firewall that treats every server as untrusted by default, mitigating risks like prompt injection. Don Bosco Durai, co-founder and CTO of Trust3 AI, noted that the goal is to make managing agent security as straightforward as building the agents themselves. The integration is available immediately, with live demonstrations scheduled at the AI Engineer World’s Fair 2026 in San Francisco.
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