Carnegie Mellon researchers show large language models can autonomously plan and execute cyberattacks

Researchers at Carnegie Mellon University, working with Anthropic, have shown that large language models can autonomously plan and carry out complex cyberattacks on enterprise-grade network environments.

The team’s findings reveal that, with the right planning capabilities and agent frameworks, LLMs can move beyond simple commands and execute coordinated network intrusions.

The research, led by Ph.D. candidate Brian Singer from Carnegie Mellon’s Department of Electrical and Computer Engineering, demonstrated that an LLM could replicate the 2017 Equifax data breach inside a controlled environment. The AI autonomously scanned for vulnerabilities, deployed exploits, installed malware, and exfiltrated data without human intervention.

Read more at EdTech Innovation Hub