This video tackles a practical problem with agentic AI: to be useful, agents often need access to files, databases, and accounts—but without strong controls, the same access can enable accidental or destructive actions.

Why it matters: “Agent safety” isn’t only alignment—it’s also basic security engineering: scoped permissions, explicit approvals for risky actions, and audit trails. Without that, the most capable agents will be the least deployable.

Singularity Soup Take: If you wouldn’t give a new hire unchecked access to production, don’t give it to an LLM—agents need the same identity, policy, and review layers we already use to make humans safe operators.