Spend less time on alert queues and more time stopping real attacks.
Get the Security Engineer briefIn 2026, AI is taking over the first pass on alert triage, log correlation, and threat intelligence summaries, so Security Engineers reach a verdict faster. It also drafts detection rules, writes incident timelines, and flags risky code patterns during reviews. The result is more time spent on threat modeling, hardening architecture, and investigating the cases machines cannot resolve.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
You are a SOC analyst. Here is an alert: [alert JSON or description]. Tell me the likely cause, severity, the MITRE ATT&CK technique it maps to, and three next investigation steps.Write a Sigma rule that detects [attack behavior, for example PowerShell encoded command execution]. Include the logsource, detection logic, false positive notes, and a level field.Explain [CVE ID] in plain terms: what it affects, attack prerequisites, exploit likelihood, and concrete mitigations for an environment running [tech stack].Review this code for security vulnerabilities and rank findings by severity with line references and fixes: [paste code].Build a chronological incident timeline from these log entries and group events by phase using the kill chain: [paste logs].The full library of tools, prompts, and tricks for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
One AI tool, one prompt, and one trick for Security Engineers, every weekday morning. Free.