Non-Human Identity: Securing the Credentials AI Agents Use to Act
Every AI agent that takes real action is a non-human identity — a service account, API key, or OAuth token with permissions of its own. A practical look at secrets sprawl, over-privilege, and prompt injection, and how least-privilege, short-lived, revocable credentials make agent actions safe and accountable.
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Sandboxed Code Execution: How AI Agents Run Untrusted Code Safely
An AI agent that can write Python is only useful if it can also run that code without putting the rest of your infrastructure at risk. Coding agents, data analysis assistants, and autonomous “computer use” systems now routinely generate and execute arbitrary code on the fly, and none of that code has been reviewed by..
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How Browser Agents Let AI Complete Multi-Step Web Tasks
Ask a chatbot to book a flight and it will happily describe how, then stop. Ask a browser agent the same thing, and it opens a tab, reads the page, clicks the right buttons, and comes back with a confirmation number. That gap between describing a task and finishing it is exactly what browser agents..
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How the Model Context Protocol (MCP) Connects AI Agents to Your Data
Every AI agent eventually hits the same wall: the model is capable, but it cannot reach the data and tools it needs to act. For years, that meant a fresh custom integration for every new database, file store, or API a team wanted its agents to touch. The Model Context Protocol, or MCP, is an..
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