AI for your role

AI for Security Analysts

Spend less time triaging and more time stopping real attacks.

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The shift

How AI is changing the Security Analyst role

AI is taking over the first pass of alert triage, grouping related events and explaining what likely happened in plain language. It now helps write and tune detection rules, summarize incidents for handoff, and draft response steps from past playbooks. Security Analysts in 2026 review and direct this work rather than reading every raw log line by hand.

What AI can take off your plate

  • First pass triage that groups related alerts and ranks them by likely severity
  • Drafting detection rules and queries from a described behavior
  • Writing incident summaries and timelines from raw notes
  • Enriching indicators by pulling and explaining threat intel context
  • Generating step by step response playbooks from past cases

What stays distinctly human

  • Deciding whether to escalate, contain, or stand down on a real incident
  • Judging business context and risk that tools do not see
  • Communicating with affected teams and leadership under pressure
  • Spotting novel attacker behavior that does not match known patterns
  • Owning accountability for response decisions and their consequences
Tools

Five AI tools for Security Analysts

Microsoft Security Copilot
A Security Analyst asks it to summarize an incident across Defender and Sentinel and get suggested next steps in plain language.
Try it →
CrowdStrike Charlotte AI
Used to triage endpoint detections, explain why something fired, and prioritize which hosts to investigate first.
Try it →
Splunk AI Assistant for SPL
Turns plain English questions into SPL queries so analysts can search logs without memorizing syntax.
Try it →
ChatGPT
A Security Analyst pastes a suspicious script or log snippet to get a quick explanation of what it does and whether it looks malicious.
Try it →
Tines
Builds and runs automated workflows for repetitive response tasks like enriching IOCs or opening tickets, with AI helping draft the steps.
Try it →
Prompts

Five prompts to try today

Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.

1. Explain a suspicious script
Explain what this script does step by step and flag anything that looks malicious or evasive. Tell me what to check next. Script: [paste script]
2. Triage an alert
Here is an alert and its raw fields: [paste alert]. Summarize what triggered it, rate the likely severity, list false positive reasons, and give three investigation steps.
3. Write a detection rule
Write a [Sigma/SPL/KQL] detection rule for this behavior: [describe technique]. Include comments explaining each condition and note expected false positives.
4. Summarize an incident
Turn these investigation notes into a clear incident summary with timeline, impacted systems, root cause, and actions taken, written for a manager. Notes: [paste notes]
5. Enrich indicators
For these indicators [paste IPs/domains/hashes], list what to check in threat intel, what each indicator type tells me, and how to confirm if they are malicious.
The playbook

Every AI play for Security Analysts

Your full AI playbook for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.

✦  New AI plays are added every week — and go straight to subscribers in their morning brief. Skip the scrolling and get yours delivered free. Get my free brief →
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A day in your inbox

This is the kind of brief a Security Analyst gets, every weekday morning.
Monday morning
✦ Personalized for: Security Analyst
Data PlaybookAd-hoc data pull
Get answers from a messy CSV without writing a single query

The move for when a stakeholder wants numbers now and you do not want to spin up a notebook. Free tier, plain English in, charts out.

Julius AI FREE  a free tier that analyzes spreadsheets and data in plain English, with charts

1

Go to julius.ai (free account), start a new chat, and upload the raw export the stakeholder sent you, for example the sales_export.csv.

2

Ask it in one line, so it cleans and computes in one pass:

Using [sales_export.csv], group revenue by [region] and [month], drop any rows where [amount] is blank or negative, and show me the top 3 regions by total revenue as a bar chart.
3

Then pressure-test the result before you send it up:

How many rows did you drop and why? Show me 5 example rows you excluded so I can confirm the logic.

You answer a same-day request in minutes with a chart and a clean audit trail, instead of hand-writing SQL against a file nobody has profiled yet.

Your role, all in one place
  
Tools, prompts & tricks
Your full library, one tap away.
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Your playbook
Every entry, building each week.
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How AI is changing your role
Where your work is heading.
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