خرید و دانلود نسخه کامل کتاب زبان اصلی Applied AI in Cyber Threat Intelligence: Build agentic workflows to scale the intelligence lifecycle PDF | دانلود کتاب خارجی

آنتونی رابینز میگه : من در 40 سالگی به جایی رسیدم که برای رسیدن بهش 82 سال زمان لازمه و این رو مدیون کتاب خواندن زیاد هستم.

 
Transform cyber threat intelligence operations with multi-agent AI workflows. Automate intelligence collection, corroborate threat signals, apply structured analysis, and produce tailored, high-fidelity intelligence at scale.Key FeaturesBuild multi-agent AI pipelines to automate the cyber threat intelligence lifecycleAutomate threat intelligence workflows for collection and cross-source corroborationApply Structured Analytic Techniques to automated threat intelligence workflowsBook DescriptionCyber threat intelligence teams face growing volumes of data, evolving adversaries, and increasing demands for timely analysis. Applied AI in Cyber Threat Intelligence is your engineering toolkit for transforming manual intelligence processes into scalable workflows using agentic AI and Python.Designed for threat intelligence analysts, security engineers, and SOC practitioners, this book takes a practical approach to operationalizing threat intelligence with multi-agent AI systems. You will build specialized AI agents that automate the intelligence lifecycle. Using the Google Agent Development Kit (ADK) alongside Machine Learning techniques, you will build automated systems that score intelligence requirements, generate structured collection plans, and corroborate cross-source signals to determine breach fidelity.You will also integrate Structured Analytic Techniques (SATs) into your AI pipelines to mitigate cognitive bias. You will build agents that generate visual argument maps, tailor intelligence products for different audiences, automate secure primary research, forecast threat actor behavior, and strengthen threat hunting operations. By the end of this book, you will be able to develop practical AI-powered cyber threat intelligence workflows that improve scale, consistency, and decision support.What you will learnBuild multi-agent AI pipelines for CTI workflowsAutomate intelligence requirements and collection planningCorroborate cross-source threat signals to score breach fidelityScaffold Structured Analytic Techniques with AI agentsGenerate argument maps and tailored intelligence reportsAutomate secure primary research, forecasting, and threat huntingWho this book is forThis book is for cyber threat intelligence analysts looking to scale their daily workflows with agentic AI and automation. Security engineers, detection engineers, and SOC practitioners seeking to automate intelligence operations will also benefit. To get the most out of the hands-on projects, you should have an intermediate understanding of cybersecurity, experience with threat intelligence methodologies, and basic Python 3.x scripting skills. No prior expertise in AI expert is required.Table of ContentsApplying the Intelligence Lifecycle to CybersecurityScoping Automation for Threat IntelligenceDiscovering Data Management PrinciplesGrasping Machine Learning FundamentalsDiving Into Artificial IntelligenceThe Requirements Stage – Architecting and Prioritizing Intel NeedsThe Collection Stage – Automating Data Discovery and Source MappingThe Processing Stage – Validating and Corroborating SignalsThe Analysis Stage – Scaffolding Structured Analytic Techniques (SATs)The Production Stage – Visualizing Logic and Argument MappingThe Dissemination Stage – Tailoring Intelligence to StakeholdersThe Feedback Stage – Closing the Loop with Continuous ImprovementMachine Learning for the Threat Intelligence LifecycleAutomating Threat Hunting CampaignsIntegrating Threat Intelligence with Detection EngineeringAutomating Tactical Research