The research update
On October 5, Google Research shared a workshop report about privacy and security for increasingly autonomous AI agents. The authors argue that agents need to respect context: information appropriate for one task may be inappropriate elsewhere. The report discusses ambiguous inputs, unpredictable execution paths, and delegation between agents. It proposes research directions across system protections, model reasoning, user controls, and governance. This is a research agenda outlining open problems, rather than an announcement that those problems are solved.
Source: Google Research: Open and Emergent Problems in Agentic Privacy and Security ↗
Our take: access is not the whole instruction
Imagine asking an assistant to organize a group trip. Knowing a traveler’s dietary preference might help choose dinner; sharing that information with every app involved would be a different decision. Our practical interpretation is that a useful agent should understand the purpose of access, alongside its technical permissions. Readers can bring the same thinking to their own instructions. Describe what the assistant may read, what it may share, and when it should return for review. Broad language such as handle everything leaves important details unstated.
Write a boundary brief
For your next agent experiment, start with a fictional task and invented personal information. Give the assistant a goal, an allowed set of tools, and explicit limits on outgoing messages or purchases. Ask it to explain which information it would send to each service and why before it acts. Compare that plan with what you intended. This is a suggested exercise, not a verified defense against every failure. Its value is making hidden assumptions visible while the stakes are small. If the plan feels surprising, revise the brief before connecting real accounts or letting the workflow run unattended.
Try this, then make it yours.
Ask an agent to plan a fictional task and list every proposed data-sharing step before acting.
Follow the signal.
Our reporting starts here. Practical suggestions are our analysis, and vendor performance statements are claims unless independently verified. We haven’t hands-on tested this release.
