Senate bill would make AI agent developers liable for hacking

By Splitfeed EditorialLast updated Oct 10, 2026, 17:40 UTC

Senators Josh Hawley, a Republican, and Chris Murphy, a Democrat, introduced a bipartisan bill in early October 2026 that would impose criminal liability on developers of AI agents when those systems are used to carry out hacking or fail to prevent it. The bill is narrow in its targeting, applying specifically to AI agents rather than to AI systems in a broader sense. Separately, a related Senate measure reported on October 8 would require the Department of Defense to expand its oversight of commercial frontier AI models already being used within the department. The two bills arrived within days of each other, with the Hawley-Murphy legislation drawing attention from MeriTalk on October 6, Homeland Security Today on October 7, and Forkast News on October 10.

The significance of the Hawley-Murphy bill lies in its choice of mechanism: criminal liability rather than civil penalty or regulatory fine. Holding developers personally or institutionally liable under criminal law is a substantially higher bar than existing product liability frameworks, and it would mark one of the first times Congress has proposed that standard for AI software. The focus on AI agents is also meaningful, because agents are increasingly designed to take autonomous actions, browse systems, execute code, and interact with external networks, which creates attack surfaces that earlier, more passive AI tools did not. The question genuinely in dispute is whether placing criminal liability on developers is a proportionate response to those risks or whether it would chill development and push companies into defensive postures that slow beneficial deployment.

No reactions from the Pro-AI, Anti-AI, or Middle Ground camps have been published yet in the available inputs. The Pro-AI camp would typically argue that criminal liability sets an unworkable standard for a technology that can be misused by third parties outside a developer's control, and that smarter regulatory guidance would achieve security goals without punishing innovation. The Anti-AI camp would likely welcome the bill as an overdue step toward accountability, arguing that developers who profit from deploying autonomous systems should bear meaningful consequences when those systems cause harm. The Middle Ground camp would probably support some form of liability framework while pushing for clearer definitions of what counts as a developer's failure versus an end-user's misuse, so that the law does not become either toothless or overbroad.

The next concrete moment to watch is whether the Hawley-Murphy bill advances out of committee and whether the DOD oversight measure gains traction in the Senate Armed Services or Homeland Security committees. Any markup session, amendment process, or companion House legislation would clarify how seriously Congress intends to pursue both tracks.