Runtime Security

Lately I’ve been doing more and more AI red teaming: half the time thinking about how to attack Agents, and the other half thinking about: once the attacks are done, what should real-world defense actually look like? I’ve written a local-first Agent Runtime Guard (ARG) myself, and I’ve also taken apart Microsoft’s newly open-sourced Agent Governance Toolkit (AGT). After taking both apart, the conclusion is actually quite clear: Agent runtime protection is, in essence, the “firewall” of the LLM era. Whenever I mention “firewall”—a word that has been beaten to death—I want to laugh. Still, this is decidedly not another layer of prompt rhetoric, nor is it old IAM renamed. What it intercepts is the segment where “the model’s intent has already formed, but the side effects haven’t happened yet”—the command hasn’t been exec’d, the keys haven’t been read, the email hasn’t been sent, no HTTP has left the network. ...

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1. Attack Characteristics of the Vulnerability The root cause of this vulnerability is the deserialization of untrusted user input, which involves a hardcoded key. An attacker can leverage deserialization gadgets already present on the target machine to perform malicious operations. The traffic characteristics of normal versus malicious requests are described below. A normal login request. Request execution length: 1121 Response Status code: 200 Response length: 7287 Malicious exploitation - no response echo Request ...