Introduction Last week, researchers at Carnegie Mellon University (CMU) revealed a finding that caught the attention of both the AI and cybersecurity worlds. Their work tackled a lingering challenge: whether today’s leading large language models (LLMs) can independently carry out complex, multi-host cyber-attacks from start to finish. In their raw form, when asked to execute multi-step cyber-attacks from start to finish, these models routinely fail. They wander off-task, choose the wrong tools, or supply flawed parameters that derail the operation. Their breakthrough came with the introduction of Incalmo, a structured abstraction layer that narrows planning to a precise set of […]
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