Cisco used AI to write security incident reports, with mixed results

You’ll need a lot of detailed prompts to get solid output - and even then it may have errors and typos

Cisco tested AI’s ability to write an accurate report on a tabletop security incident response exercise, and found that while the tech can save time, many risks remain.

The networking giant revealed its results in a Thursday blog post https://blogs.cisco.com/security/ai-generated-reporting-lessons-learned-from-talos-incident-response by Nate Pors, a senior incident commander in the Cisco Talos Incident Response team.

Pors opened by observing that when to used generate long-form technical content, large language models can deliver “significant inaccuracies, unusual conclusions, and inconsistent writing styles.”

LLMs make those mistakes because they’re essentially a fancy autocomplete system that makes educated guesses. Pors wrote that the nature of LLMs therefore sees them mess up in four ways:

• Using different data for each query, which means it’s “difficult to rely on an LLM for repeatable, standardized research outcomes.”
• ...

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