In r/artificial, agent deployment discussions focus on runtime sandboxing not being enough because agents holding API keys create a tool boundary credential leak risk, alongside interest in new runtime security projects.
The runtime isolation problem gets most of the attention but the tool credential problem is adjacent and largely unsolved.
Agents hold API keys to every external service they call.
One compromised agent, one leaked key means the downstream provider is exposed too.
Runtime sandboxing fixes what the agent can do inside the process. It does not fix what happens when the agent holds credentials that belong to someone else.
Microsoft's newest open-source project: Runtime security for AI agents
Runtime security for AI agents hits close to home since I've dealt with agents unexpectedly accessing restricted data in tests.
Key isolation at the tool boundary -- where the agent never touches the provi
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