The reported $6.34 billion Binance hack raises a hard question for companies putting AI agents inside sensitive systems: what happens when software built to help people work can also reach internal tools, data, or approval paths?
Mace AI discusses the incident with TheStreet Roundtable and explains why a security review has to examine an agent’s real authority, the systems it can reach, and the evidence left behind when it acts.
That means testing beyond a model’s response to a prompt. Teams need to see what an agent can actually do across the tools, permissions, and handoffs that make up a production workflow.