AI-Powered Penetration Testing: A Practical Guide to Automated Security Audits for Enterprise Networks
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25,03 |
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25,03 |
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29,99 |
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Beschrijving
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Your last pentest missed the attack vector that actually mattered. Not because your team was wrong - because the thing that mattered was deployed after the scope document was signed. Enterprise networks now change faster than any fixed-schedule test cycle can track, and attackers find what your pentest never examined. This book gives security professionals a complete, deployable system for AI-augmented penetration testing - one that tests the environment as it actually exists, not as it was documented six weeks before the engagement began. Built around the ARIA Loop (Automate, Recon, Infiltrate, Analyze), the methodology replaces point-in-time audits with a continuous assessment pipeline that discovers new assets in hours, correlates findings into multi-step attack chains, and produces compliance-ready deliverables without duplicating work. No machine learning background required - every concept is explained in operational terms with specific configuration values, real case studies, and decision filters that tell you exactly what to do next. What you will learn: - Build a working AI-powered pentest pipeline from reconnaissance to final report - Set up multi-agent frameworks for coordinated, continuous attack simulation - Perform AI-specific security tests against LLM and ML-powered applications - Conduct IAM privilege escalation and hybrid identity testing across AWS and Azure - Identify enterprise attack surfaces across cloud, hybrid, and on-premises environments - Integrate automated security testing into CI/CD pipelines with threshold-based controls - Produce SOC 2 and ISO 27001 compliant audit evidence from automated findings - Execute controlled exploitation with AI-assisted payload adaptation and three-tier oversight - Present automated pentest findings to C-suite and compliance teams in language that produces action > The ARIA Loop framework connects four specialized pipeline phases - continuous asset collection, living target graph construction, scored attack path execution, and multi-finding chain correlation - into a system where context accumulates between phases instead of resetting. Each chapter delivers the methodology in operational terms: specific rate limits, exact scoring formulas, defined escalation thresholds, and the decision filters that tell you when to automate and when to stop. For mid-career security professionals, red team leads, and security engineers responsible for assessing complex enterprise environments and producing defensible, audit-ready results. Stop photographing an incomplete picture. Build the system that tests everything.
Your last pentest missed the attack vector that actually mattered. Not because your team was wrong - because the thing that mattered was deployed after the scope document was signed. Enterprise networks now change faster than any fixed-schedule test cycle can track, and attackers find what your pentest never examined. This book gives security professionals a complete, deployable system for AI-augmented penetration testing - one that tests the environment as it actually exists, not as it was documented six weeks before the engagement began. Built around the ARIA Loop (Automate, Recon, Infiltrate, Analyze), the methodology replaces point-in-time audits with a continuous assessment pipeline that discovers new assets in hours, correlates findings into multi-step attack chains, and produces compliance-ready deliverables without duplicating work. No machine learning background required - every concept is explained in operational terms with specific configuration values, real case studies, and decision filters that tell you exactly what to do next. What you will learn: - Build a working AI-powered pentest pipeline from reconnaissance to final report - Set up multi-agent frameworks for coordinated, continuous attack simulation - Perform AI-specific security tests against LLM and ML-powered applications - Conduct IAM privilege escalation and hybrid identity testing across AWS and Azure - Identify enterprise attack surfaces across cloud, hybrid, and on-premises environments - Integrate automated security testing into CI/CD pipelines with threshold-based controls - Produce SOC 2 and ISO 27001 compliant audit evidence from automated findings - Execute controlled exploitation with AI-assisted payload adaptation and three-tier oversight - Present automated pentest findings to C-suite and compliance teams in language that produces action > The ARIA Loop framework connects four specialized pipeline phases - continuous asset collection, living target graph construction, scored attack path execution, and multi-finding chain correlation - into a system where context accumulates between phases instead of resetting. Each chapter delivers the methodology in operational terms: specific rate limits, exact scoring formulas, defined escalation thresholds, and the decision filters that tell you when to automate and when to stop. For mid-career security professionals, red team leads, and security engineers responsible for assessing complex enterprise environments and producing defensible, audit-ready results. Stop photographing an incomplete picture. Build the system that tests everything.
AmazonPages: 239, Paperback, Independently published
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