Evaluating Large Language Models for Cybersecurity Tasks: Challenges and Best Practices

How can we effectively use large language models (LLMs) for cybersecurity tasks? In this podcast from the Carnegie Mellon Software Engineering Institute, Jeff Gennari and Sam Perl discuss applications for LLMs in cybersecurity, potential challenges, and recommendations for evaluating LLMs.
#LLMs, #AI, #cybersecurity, ‪@TheSEICMU‬
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[@MarkUnderwood-knowlengr]

At 36:45 a key point is made about the specialization within the profession. It's already a problem within #cybersecurity that specialization across vulnerability management, platform security, app sec, cryptography, secrets management -- become de facto siloes. So far, it's unclear whether #LLMs can help address this problem, by summarization and narrative-making perhaps. But I doubt it can fully overcome it. In fact, the LLM may add a layer of, for instance, generated "code" or templating on top of what is already a tower of subcomponents and services -- thereby adding still more complexity.
That said, I doubt there will be any turning back.