For Security Professionals Who Want to Use Claude Effectively in Their Daily Work
AI-Assisted Security with Claude
Get productive with AI for security work — in days, not weeks.
Learn the essential Claude skills every security professional needs. Prompt engineering for reliable security output, working with files and data, alert triage acceleration, KQL query generation, incident response documentation, detection engineering assistance, compliance automation, and AI governance. Twelve focused lessons, entirely free.
Who this course is for
“I keep hearing about AI for security but I don’t know where to start.” You’ve seen the demos. You know AI can help with investigations and documentation. But when you open Claude and type “analyze this log,” the output is generic and unhelpful. This course teaches the prompt patterns that produce security output you can actually use.
“I paste logs into ChatGPT and hope for the best.” Unstructured prompts produce unreliable output. This course teaches structured prompting: context setting, role assignment, output formatting, and the verification step that catches AI mistakes before they reach your incident report.
“I spend hours writing IR reports and executive summaries.” Documentation is where AI saves the most time for security professionals. This course builds the prompt patterns that draft investigation reports, executive summaries, and regulatory notifications — with the review discipline that catches hallucinated findings.
“My team wants to use AI but we have no governance framework.” Who can use it? What data can go into the prompt? How do you prevent sensitive investigation details from leaking into training data? This course covers the AI security risks and builds the governance framework your team needs before anyone starts prompting.
“I need to generate KQL queries faster but I don’t trust AI-written queries.” AI-generated KQL is a draft, not a deployment. This course teaches the generation-then-verification workflow: prompt Claude for the query, validate the logic against the schema, test against your data, and deploy only what you’ve confirmed works.
“I’m considering the full Claude for Security Professionals course.” This is the free on-ramp. Twelve lessons that cover the essentials. If the approach works for you, the full course goes deeper into investigation methodology, detection engineering, automation, adversarial AI, and team deployment.
Whatever your background — if the subject interests you and you’re willing to put in the work, this course is for you.
Before and after this course
You paste a sign-in log into Claude and ask “is this suspicious?” The response is a generic explanation of what sign-in logs are. You close the tab and investigate manually.
Writing the executive summary for an incident takes two hours. You start from a blank page every time because you don’t have a template that produces what leadership actually needs.
You ask Claude to write a KQL query. It returns something that looks right but queries a table that doesn’t exist in your workspace. You don’t have a verification process, so you run it and get an error.
Your team uses AI ad-hoc. Some analysts paste investigation details into free-tier AI tools. Nobody has defined what data is acceptable to share with an AI service. There’s no policy.
You provide structured context: role, environment, evidence, and specific question. Claude returns actionable triage output that identifies the anomalies, suggests next investigation steps, and flags what it’s uncertain about.
The executive summary takes 15 minutes. You prompt Claude with the investigation findings, specify the audience and format, review the draft for accuracy, and deliver a document that answers leadership’s questions without technical jargon.
You generate the KQL draft, check the table and column names against your schema, test against 7 days of data, verify the output makes sense, then deploy. The AI wrote the first draft in 30 seconds. Your verification took 5 minutes. Total: faster and validated.
Your team has a governance framework: approved tools, data classification for AI input, prohibited data categories, verification requirements, and the review process for AI-generated content before it enters production.
How the course works
Three sections build from AI fundamentals through security-specific workflows to governance:
What Claude is, the chat interface, prompt engineering for security, working with files and data, safety and limitations. The skills that make every subsequent lesson productive.
SecOps triage, IR documentation, detection engineering and TI, compliance and policy generation, Claude Code for automation. Real M365 scenarios with prompt patterns you deploy immediately.
How attackers use AI, AI-generated phishing detection, data leakage risks, and the governance framework for responsible AI use in security teams.
What the content looks like
This is a real prompt pattern from the security operations lesson. Instead of pasting raw logs and hoping for useful output, you provide structured context that produces actionable triage analysis:
The structured prompt produces structured output. Role sets the expertise level. Context provides the environment. Evidence gives Claude real data to analyze. Task tells it exactly what you need. Output format ensures the result is immediately usable. Every lesson teaches at this level — the prompt pattern, the expected output, and the verification step.
Where this leads
This course covers the essentials in 12 lessons. The Claude for Security Professionals course is the full 11-module deep dive — investigation methodology, detection engineering workflows, IR documentation, security automation, adversarial AI, and team deployment. Essentials is the on-ramp. The full course is the highway.
Usage rights and disclaimer
Course materials: Licensed for individual professional development. You may use prompt patterns, templates, and workflows from this course in your professional work. You may not redistribute course content or republish course materials.
AI output verification: All AI-generated content requires human verification before use in production. Claude can produce incorrect, incomplete, or hallucinated output. The verification discipline taught in this course is not optional.
Version and changelog
Current version: 1.0 | Last updated: May 2026
2026 — v1.0: Course launch. 12 lessons across 3 sections. Foundation (5 lessons), Security & IT Track (6 lessons), References (1 lesson).
This course is actively maintained as Claude capabilities and AI security practices evolve.