"The Beijing-backed snoops considered a typical attack chain, broke it into small steps, then built a framework using agentic AI to carry out an intrusion attempt. The agents mapped attack surfaces, scanned target organizations' infrastructure, found vulnerabilities, and even researched and wrote exploitation code."
"But the number one thing to me is: it worked. It freakin' worked. It brought a set of tools, it went against real-world targets, and it won."
"Machines don't get tired of reading code. They can review and review and review until they find that vulnerability."
"Joyce fears that continuing improvements to LLMs, and the fact they're now effectively modular so crooks can quickly update their AI tools, means automated attacks will improve exponentially."
Chinese cyberspies have utilized agentic AI to automate cyberattacks, breaking down attack chains into manageable steps. This technology allows them to map attack surfaces, scan infrastructures, and exploit vulnerabilities effectively. Former NSA cyber chief Rob Joyce emphasizes the effectiveness of these automated attacks, noting that they have successfully targeted real-world systems. He warns that advancements in AI will lead to exponential improvements in automated attacks, while also acknowledging that such technology could aid defenders in identifying vulnerabilities.
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