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Autonomous DevSecOps Architectures: Engineering Self-Healing CI/CD Pipelines, Predictive SAST/DAST, and AI-Native Threat Remediation
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General ComputersProgrammingComputer Security
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ISBN13: 9798196090868
Publisher: Independently Published
Pages: 278
Weight: 0.98
Height: 0.58 Width: 6.69 Depth: 9.61
Language: English
Publisher: Independently Published
Pages: 278
Weight: 0.98
Height: 0.58 Width: 6.69 Depth: 9.61
Language: English
Stop Triaging False Positives. Architect the AI-Native, Self-Healing CI/CD Pipelines of the Future.
Traditional DevSecOps is broken. Legacy SAST and DAST scanners generate endless walls of false positives, bottlenecking deployments and causing severe alert fatigue. By the time a human security engineer triages an alert, writes a patch, and pushes it through CI/CD, the breach has already happened.
Traditional DevSecOps is broken. Legacy SAST and DAST scanners generate endless walls of false positives, bottlenecking deployments and causing severe alert fatigue. By the time a human security engineer triages an alert, writes a patch, and pushes it through CI/CD, the breach has already happened.
Autonomous DevSecOps Architectures is the definitive, elite-level blueprint for engineering the next generation of software delivery. This book teaches Platform Architects and Security Engineers how to build intelligent, zero-trust pipelines where AI agents autonomously detect vulnerabilities, generate syntactically correct patches, and test them in ephemeral sandboxes, all before a human ever reviews the code.
Inside, you will discover:
Predictive SAST & DAST: Ditch static rulesets. Use LLMs to trace data flows across microservices, natively suppress false positives, and deploy autonomous API fuzzing agents.
Supply Chain Hardening (SLSA): Defend against SolarWinds-style attacks by implementing the SLSA framework, cryptographic artifact signing (Sigstore/Cosign), and zero-persistence build enclaves.
GitOps as the Security Baseline: Eliminate manual kubectl interventions. Enforce strict environment parity and Policy-as-Code using ArgoCD, OPA, and Kyverno.
Zero-Trust Identity: Navigate the death of the API Key. Implement SPIFFE/SPIRE for cryptographic machine identities and just-in-time credential generation.
AI-Native Threat Remediation: Master the Fix-Test-Verify loop. Govern AI agents with strict blast radiuses to safely auto-generate and merge security patches.
eBPF & Runtime Threat Modeling: Gain kernel-level security observability without instrumenting application code, and trigger automated pipeline webhooks to instantly quarantine compromised pods.
THE DEVSECOPS VAULT (Appendix)
Built for the practitioner who needs to implement these systems immediately, the Appendix provides battle-tested, drop-in utility:
The SLSA Level 4 Checklist: Tactical, step-by-step requirements for achieving ultimate supply chain security.
AI Prompting for Security Engineers: Advanced LLM prompts designed specifically for custom vulnerability analysis and patch generation.
Production-Ready Manifests: Copy-paste YAML/HCL for ArgoCD security configurations, SPIRE deployments, and OPA policies.
Don't let your deployment pipeline become an attack vector. Shift from reactive scanning to autonomous self-healing, and build the ultimate enterprise delivery fabric.
Inside, you will discover:
Predictive SAST & DAST: Ditch static rulesets. Use LLMs to trace data flows across microservices, natively suppress false positives, and deploy autonomous API fuzzing agents.
Supply Chain Hardening (SLSA): Defend against SolarWinds-style attacks by implementing the SLSA framework, cryptographic artifact signing (Sigstore/Cosign), and zero-persistence build enclaves.
GitOps as the Security Baseline: Eliminate manual kubectl interventions. Enforce strict environment parity and Policy-as-Code using ArgoCD, OPA, and Kyverno.
Zero-Trust Identity: Navigate the death of the API Key. Implement SPIFFE/SPIRE for cryptographic machine identities and just-in-time credential generation.
AI-Native Threat Remediation: Master the Fix-Test-Verify loop. Govern AI agents with strict blast radiuses to safely auto-generate and merge security patches.
eBPF & Runtime Threat Modeling: Gain kernel-level security observability without instrumenting application code, and trigger automated pipeline webhooks to instantly quarantine compromised pods.
THE DEVSECOPS VAULT (Appendix)
Built for the practitioner who needs to implement these systems immediately, the Appendix provides battle-tested, drop-in utility:
The SLSA Level 4 Checklist: Tactical, step-by-step requirements for achieving ultimate supply chain security.
AI Prompting for Security Engineers: Advanced LLM prompts designed specifically for custom vulnerability analysis and patch generation.
Production-Ready Manifests: Copy-paste YAML/HCL for ArgoCD security configurations, SPIRE deployments, and OPA policies.
Don't let your deployment pipeline become an attack vector. Shift from reactive scanning to autonomous self-healing, and build the ultimate enterprise delivery fabric.
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