
As AI agents read documents and take actions across our digital workplaces, a new security question emerges: when does useful content become an unauthorized instruction? A finance manager asks an AI assistant to summarize a supplier’s invoice. The assistant opens the document, identifies the total amount, and prepares a short summary. Hidden inside the…

When people and AI agents share information, security must govern who can access it, what they can do with it, and where it can go next. A project manager opens a confidential contract. An AI agent extracts the deadlines. Another compares the payment terms with previous agreements. A third prepares a supplier email. One…

An employee uploads a confidential contract to get a quick summary. The answer arrives in seconds. Understanding where the information went may take much longer. A supplier contract lands in an employee’s inbox shortly before a meeting. It is long, technical, and full of clauses that need explaining. The employee opens an AI assistant,…

Why AI agents need limited, temporary, and revocable access You ask an AI assistant to organize your files. It needs to inspect a folder, identify documents, and suggest a clearer structure. Instead, the connection screen asks for permission to read, edit, share, and delete everything in your account. A small task has become a…

The central idea .Hermes is not the intelligence itself. It is the operating layer around an AI model: it assembles instructions and context, sends requests to a selected model provider, executes approved tools, observes the results, and stores selected knowledge so later sessions can begin with useful continuity. A language model can produce a…