LLM-Assisted Incident Report Generation: Quality, Speed, and Analyst Acceptance

What Did This Cybersecurity Research Find?

This cybersecurity operations study tested LLM-assisted incident report generation in four SOCs, comparing report quality and production time against fully manual reports. Cybersecurity incident reports drafted by LLMs and reviewed by analysts were produced 64% faster than fully manual reports and received equivalent quality ratings from stakeholders, but analysts needed to correct factual hallucinations in 12% of AI-generated drafts.

Key Findings

• 1LLM-assisted incident reports were produced 64% faster than manual reports
• 2Stakeholder quality ratings were equivalent for AI-assisted and manual reports
• 3Factual hallucinations (incorrect technical details) appeared in 12% of AI-generated drafts
• 4Timeline accuracy was the most common hallucination type (incorrect event sequencing)
• 5Analysts spent 15% of saved time on review and correction of AI-generated content

How Does This Apply to Cybersecurity Careers?

SOC analysts can use AI report generation to reduce documentation burden. Security managers can evaluate AI writing tools while understanding the necessary human review requirements.

Who Should Read This?

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