
Claude For Cybersecurity
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 459.57 MB
| Duration: 1h 4m
Claude | Claude Code | Claude Agent SDK | Cyber Threat Intelligence | Incident Response | DevSecOps
What you'll learn
Claude
Claude Code
Claude for Cybersecurity
AI Security
Requirements
Basic IT Knowledge
Willingness to learn cool stuff!
Description
This course contains the use of artificial intelligence.Claude for Cybersecurity by Christopher Nett is a hands-on course that teaches you how to apply Anthropic's Claude across real-world cybersecurity workflows. Whether you're triaging alerts in a SOC, producing threat intelligence reports, prioritizing vulnerabilities, or reviewing application code - this course shows you how to get there faster and more effectively with AI.You'll start with the fundamentals: how Claude works, how to write effective security prompts, and how to use Claude Code as an AI-powered terminal. From there, you'll build autonomous security agents using the Claude Agent SDK. Then you apply everything across four security domains through hands-on labs using real-world scenarios, tools, and data formats.By the end of this course, you'll have built multiple security agents from scratch and gained practical experience integrating AI into your daily security operations. Here's what each section covers:Introduction to Claude: Understand Claude's model family (Opus, Sonnet, Haiku), choose the right model for your security tasks, interact with the Claude API, and master six prompt engineering patterns designed for cybersecurity.Claude Code for Security: Install and configure Claude Code, connect external data sources through MCP servers, and set up your full lab environment with API keys for VirusTotal, AbuseIPDB, and more.Claude Agent SDK: Learn the architecture behind autonomous agents - tools, hooks, and sandboxing - then build your first agents, progressing from a simple tool-calling agent to an automated alert triage workflow.SOC & Incident Response: Analyze phishing emails and malicious macros, build alert triage playbooks, reconstruct incident timelines from raw logs, decode obfuscated payloads, generate SIGMA and YARA detection rules, and produce NIST-aligned incident reports.Cyber Threat Intelligence: Profile threat actors, generate threat landscape briefings, enrich indicators of compromise through live OSINT and API integrations (VirusTotal, AbuseIPDB), and convert raw intelligence into structured STIX 2.1 bundles.Vulnerability Management: Perform deep CVE analysis, dissect multi-stage exploit chains like Log4Shell, assess exploitation likelihood using multi-factor analysis beyond CVSS, and generate automated patch management runbooks from NVD and KEV data.Secure Development & AppSec: Run AI-powered code reviews, identify OWASP Top 10 vulnerabilities in real applications, generate security test cases from API specs, scan for hardcoded secrets and misconfigurations, and audit Terraform templates for cloud security issues.Capstone Projects: Build four autonomous security agents - one for each domain - using the Claude Agent SDK. Then combine everything into an MCP-connected agent that pulls from multiple security data sources to produce a unified security assessment.Every lab in this course is fully standalone - you can jump to any section that matches your role or interest without completing earlier labs first. Whether you're a SOC analyst, CTI professional, vulnerability manager, or AppSec engineer, you'll find practical content tailored to your domain.This course contains promotional materials.
Security Engineer,Security Architect,AI Architect,AI Engineer,Cloud Architect,Cloud Engineer,IT Professional,SOC Analyst,Incident Response Analyst,Security Engineer,CTI Analyst,Vulnerability Management Analyst,AppSec Engineer,DevSecOps Engineer,Security Architect,Cybersecurity Consultant,Penetration Tester