| Management number | 231603874 | Release Date | 2026/06/18 | List Price | US$3.43 | Model Number | 231603874 | ||
|---|---|---|---|---|---|---|---|---|---|
| Category | |||||||||
Have you noticed how offensive cybersecurity is rapidly evolving beyond manual testing, isolated scripts, and traditional automation? What happens when AI agents can coordinate reconnaissance, analyze vulnerabilities, automate workflows, and adapt to changing environments faster than ever before?Modern Offensive Cybersecurity with Agentic AI by Orik Thaloren is a practical and forward-thinking guide built for cybersecurity professionals who want to master the next generation of offensive security operations using MCP, n8n, AI agents, and intelligent automation.This book goes far beyond basic penetration testing concepts. It explores how modern agentic AI systems can assist with:Reconnaissance automationAttack surface discoveryVulnerability intelligence correlationAPI and web application testingBrowser automation workflowsCloud and Kubernetes security testingThreat intelligence operationsReporting and evidence organizationMulti-agent offensive security pipelinesHave you ever wished you could automate repetitive reconnaissance tasks without losing operational context? Or wondered how AI agents can coordinate multiple tools while maintaining workflow consistency and human oversight?This book answers those questions with practical, real-world guidance.You will learn how to integrate AI reasoning directly into offensive security workflows using technologies such as MCP (Model Context Protocol), n8n orchestration, browser agents, APIs, large language models, and modern offensive security tooling. Instead of treating AI as a simple chatbot, this book teaches you how to transform it into an operational security assistant capable of supporting complex testing activities.This is not hype-driven “autonomous hacking.” It is a professional guide focused on building scalable, ethical, and production-grade AI-assisted offensive security workflows that enhance human expertise rather than replace it.As you progress through the book, you will discover how AI agents can:Prioritize high-risk attack pathsCorrelate large amounts of reconnaissance dataAssist with authentication and session testingSupport intelligent fuzzing and injection analysisAutomate portions of cloud infrastructure assessmentsMonitor threat intelligence feeds continuouslyOrganize professional penetration testing reportsCoordinate browser-based testing workflowsThe book also places strong emphasis on operational safety, governance, scope validation, and ethical security testing. You will learn not only how to build powerful AI-driven workflows, but how to deploy them responsibly in real-world environments.Whether you are a penetration tester, red team operator, DevSecOps engineer, cloud security professional, researcher, or advanced learner, this book provides the technical foundation and strategic mindset needed to stay ahead in modern offensive cybersecurity.The cybersecurity landscape is changing rapidly. Attack surfaces are expanding, infrastructures are becoming more distributed, and intelligent automation is reshaping both offensive and defensive operations.The future belongs to security professionals who understand both cybersecurity fundamentals and AI-driven automation.If you are ready to modernize your offensive security workflows, build intelligent testing systems, and explore the future of AI-assisted cybersecurity, Modern Offensive Cybersecurity with Agentic AI is your roadmap to the next era of offensive security operations. Read more
| ASIN | B0GYKGTW2D |
|---|---|
| XRay | Not Enabled |
| Language | English |
| File size | 1.3 MB |
| Page Flip | Enabled |
| Word Wise | Not Enabled |
| Book 6 of 8 | The AI knowledge Library |
| Print length | 542 pages |
| Accessibility | Learn more |
| Screen Reader | Supported |
| Publication date | May 21, 2026 |
| Enhanced typesetting | Enabled |
If you notice any omissions or errors in the product information on this page, please use the correction request form below.
Correction Request Form