Triage faster, investigate deeper, and document everything without burning out.
Get the SOC Analyst briefIn 2026, AI is taking over the first pass of alert triage, summarizing log data, and drafting incident timelines that analysts used to assemble by hand. It correlates events across EDR, SIEM, and identity tools to suggest likely attack paths, and it turns raw query results into plain-language explanations. This frees analysts to spend more time validating real threats and less time copying data between consoles.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Explain what this command line does step by step, flag anything malicious or evasive, and tell me whether it looks like a living-off-the-land technique: [command line]Write a [Splunk SPL / KQL / Sentinel] query to find [behavior, for example multiple failed logins followed by a success] for index/table [name] over the last [time range]. Explain each clause.Here is an alert: [paste alert fields]. List the most likely benign and malicious explanations, the next three things I should check, and the data I would need to confirm each.This string was found in [location]: [encoded or obfuscated string]. Decode it, explain what it does, and list IOCs I should search for across my environment.Using these investigation notes, write a clear incident summary for [audience, for example management or IR team] with sections for timeline, impact, root cause, and recommended actions: [notes]One AI tool, one prompt, and one trick for SOC Analysts, every weekday morning. Free.