
Discover how Cloud Code, an AI-powered coding assistant, revolutionizes cybersecurity workflows. Learn to perform AI-assisted security code reviews, threat modeling, and automated secure fixes.
Explore Cloud Code, an AI-powered agentic coding assistant by Anthropic, that runs in your IDE or terminal, enabling context-aware security automation and detection of vulnerabilities like SQL injections and secrets.
Install Cloud Code and unlock powerful terminal-based commands, then explore plan mode versus edit mode, log in to a pro plan, and access file operations, shell commands, and web research.
Choose the cloud code model to balance cost, speed, and output quality, using Haiku for quick tasks, Sonnet for standard work, and Opus for high-stakes analysis in VS Code.
See how Cloud Code acts as an agentic system that reads, writes, and builds, including a LinkedIn-based portfolio, and explore its potential for security automation and workflows.
Learn to use Cloud Code for a structured, agent-based security review of real apps, using OWASP JuiceShop to map architecture, attack surface, and data flow, with remediation and validation.
Extend Cloud Code with a structured approach using the five building blocks—Cloud MD file, skills, MCP servers, sub-agents, and hooks—to become a proactive security engineer.
Master Claude MD to enforce security policy as code for AI agents by embedding a project-level markdown file that defines architecture, data sensitivity, approved libraries, and compliance rules.
Extend cloud code with modular skills that translate your security procedures into consistent threat modeling and compliance checks for all developers. Generate SK diagram threat models and compliance gap reports.
Explore the model contacts protocol (MCP) to extend cloud code with the SNCC MCP server, enabling live tool access, dependency scanning, and a complete security workflow built on cloud MD.
Connect cloud code to external MCP servers to scan dependencies and auto-create tables in Miro, plus ticketing in Jira or Monday.com, showcasing automated threat modeling.
Spawn specialized sub-agents to tackle complex tasks in parallel under a coordinating main agent, then evaluate independence and token costs to decide on a phased, unified security report.
Explore hooks in cloud code to enforce policies by inserting pre and post tool use checks that block dangerous commands, secrets, and environment edits.
Embed Claude code into your cybersecurity framework by enforcing policies, enabling repeatable security reviews, and deploying sub-agents to deliver immediate security feedback in the IDE.
Explore the future of cybersecurity as ai-driven automation reshapes roles, embedding security into development workflows, designing scalable systems, and orchestrating guardrails to scale with data and workflows.
AI coding agents are no longer experimental tools for developers. They are now capable of reading entire codebases, modifying files, executing terminal commands, connecting to external APIs, and operating autonomously inside your development environment. For cybersecurity professionals, this represents both the most powerful force multiplier in a generation—and an entirely new attack surface that most security teams are not prepared for.
The "Claude Code for Cybersecurity Professionals" course is a practical, hands-on course designed to help security engineers, penetration testers, AppSec professionals, and security architects leverage Claude Code as an agentic AI platform for security operations - while understanding how to secure and govern AI coding agents themselves.
This course moves beyond basic AI prompting and chatbot interactions. Instead, it teaches you how to build a complete AI-powered security engineering environment using Claude Code's five core building blocks: persistent project memory, reusable security skills, external tool integrations, parallel sub-agents, and automated enforcement hooks. You will go from asking an AI questions to commanding an AI security team.
What You Will Learn
How Claude Code works as an agentic platform—and why it is fundamentally different from ChatGPT or traditional AI chat tools
How to conduct structured security code reviews using a repeatable, multi-step prompting methodology
How to write CLAUDE MD configuration files that enforce security policies, coding standards, and compliance requirements across every AI session
How to create reusable security skills for audits, threat modelling, secrets scanning, dependency analysis, and compliance checking
How to connect Claude Code to external security toolchains using MCP
How to orchestrate parallel sub-agents that act as a coordinated AI security team: code analyser, vulnerability scanner, secrets detector, and configuration reviewer working simultaneously
How to implement hooks that automatically scan for secrets, validate dependencies, and enforce security gates on every file change
What we will be covering
Introduction and Environment Setup
How AI coding agents differ from AI chatbots
Setting up VS Code with Claude Code
Demonstrating Claude Code's Power
Live build: creating a cybersecurity consulting website from a single prompt
Why this changes the game for security automation
Security Code Review with Claude Code
Cloning and reviewing OWASP Juice Shop for real vulnerabilities
The prompting discipline: why vague prompts produce garbage results
The structured five-step review workflow: architecture discovery, attack surface mapping, vulnerability scanning, severity classification, and remediation reporting
Hands-on lab: producing a full security assessment with file references and CVSS ratings
The Claude Code Architecture Deep Dive
The five pillars: CLAUDE MD files, Skills, MCP, Sub-Agents, and Hooks
Why context infrastructure compounds and one-shot prompts do not
Building a persistent, security-aware AI development environment
Who Should Take This Course
This course is designed for cybersecurity professionals who want to leverage AI coding agents for security operations and understand the risks they introduce, including:
Security analysts and SOC engineers looking to automate repetitive security tasks
Application security engineers seeking to accelerate code review workflows
DevSecOps engineers looking to embed AI into security gates and CI/CD pipelines
Security architects evaluating AI agent risks and governance requirements
GRC professionals wanting to understand AI-assisted compliance and audit workflows
Security leaders and CISOs assessing AI adoption for their teams
Prerequisites
A basic understanding of cybersecurity concepts is recommended
Basic familiarity with the command line (terminal/shell)
An Anthropic account with Claude Code access
No prior programming experience is required—Claude Code will be the coding engine