Joe Fleurat (6 results)
- Softcover
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores
Contact seller5-star sellerCondition: New
£ 41.22
Free ShippingShips within U.S.A.Quantity: 5 available
Paperback or Softback. Condition: New. Applied AI in Cyber Threat Intelligence: Build agentic workflows to scale the intelligence lifecycle. Book.
Applied AI in Cyber Threat Intelligence: Build agentic workflows to scale the intelligence lifecycle
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
£ 44.55
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
£ 44.07
£ 6.76 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
£ 46.47
Free ShippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. 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 th…reat 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. Supercharge your cyber threat intelligence operations by building multi-agent AI workflows. Build automated pipelines to collect and validate threat signals, apply structured analysis, and scale adversary research using Python. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 47.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. 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 th…reat 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. Supercharge your cyber threat intelligence operations by building multi-agent AI workflows. Build automated pipelines to collect and validate threat signals, apply structured analysis, and scale adversary research using Python. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 70.10
£ 27.13 shippingShips from Australia to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. 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 th…reat 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. Supercharge your cyber threat intelligence operations by building multi-agent AI workflows. Build automated pipelines to collect and validate threat signals, apply structured analysis, and scale adversary research using Python. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
