Description
Advanced Offensive Security & Red Teaming with AI Agents. This course examines advanced offensive security and red team operations with a focus on modern methodologies and the intelligent use of AI agents, and has designed a comprehensive and practical program to teach how professional red teams operate in various domains including web applications, APIs, networks, Active Directory, IoT, and post-intrusion phases. The program begins by establishing rules of engagement, legal boundaries, and AI safeguards to ensure that all techniques are executed in an ethical and auditable manner. Participants will learn the full offensive attack cycle, including reconnaissance and OSINT, vulnerability scanning and discovery, web penetration based on OWASP Top Ten standards, authentication failures, API security, network attacks, and command and control emulation. A unique strength of this course is the AI-enhanced offensive security approach, where students learn how AI agents can accelerate the processes of detection, vulnerability prioritization, and reporting, as well as identify where to limit them using event logging and human oversight to prevent unreliable or unsafe outcomes.
What you will learn
- Planning and executing operations: Learn how to manage security conflicts while adhering to legal boundaries and auditable workflows.
- Vulnerability identification and discovery: Performing scanning and detection processes in web environments, APIs, and enterprise infrastructures.
- Web application penetration: Exploiting common and advanced web flaws such as code injection, XSS, CSRF, and IDOR.
- Modern Security Assessment: Examining GraphQL endpoints, OAuth/OIDC flows, and attack surfaces in the mobile backend.
- Network and Active Directory Attacks: Implementing detection, lateral movement, and elevation techniques in Active Directory.
- Post-intrusion operations: system stability simulation, digital forensics analysis, and environmental cleanup planning.
- Internet of Things (IoT) Penetration Testing: Evaluating embedded devices through firmware analysis and validation of security updates.
- Command and Control Simulation: Conducting C2 operations and controlled data egress in an isolated laboratory environment.
- AI integration: Using AI agents in detection and reporting workflows under direct human supervision.
This course is suitable for people who:
- Students and beginners: People who want to gain practical skills in ethical hacking and red teaming.
- Security professionals: Those seeking practical experience in web, network, Active Directory, and IoT attack surfaces.
- Red Team Enthusiasts: People who want to go beyond the level of working with tools and master methodologies and operational planning.
- Ethical hackers: professionals who are willing to integrate artificial intelligence agents responsibly into their security processes.
- Blue or purple team activists: Individuals who seek to gain a deeper understanding of attacker behavior and identify gaps in defense systems.
Advanced Offensive Security & Red Teaming with AI Agents Course Details
- Publisher: Udemy
- Instructor: Selfcode Academy
- Training level: Beginner to advanced
- Training duration: 26 hours and 53 minutes
- Number of lessons: 105
Course topics
Prerequisites for the Advanced Offensive Security & Red Teaming with AI Agents course
- A basic understanding of networking, operating systems, or cybersecurity concepts is recommended.
- Familiarity with Linux or Windows command-line environments will be helpful.
- Learners should be comfortable setting up and working within isolated lab environments.
- No prior red team or professional penetration testing experience is required.
- All activities are performed in controlled, ethical, and lab-contained environments.
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 1080p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
27.6 GB
