التقنية : الميتافيرس

الرئيس التنفيذي لأمن المعلومات والذكاء الاصطناعي ™

Intelligent Chief Information Security Officer (iCISO)™ Workshop

Become an AI-Ready Security Leader! : By completing the iCISO™ Workshop, you will gain a unique edge in the cybersecurity leadership space, enabling you to navigate AI-driven challenges and spearhead security transformation at the executive level.

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About the Workshop

The Intelligent Chief Information Security Officer (iCISO)™ Workshop is a 5-day immersive program designed for CISOs and senior security executives who seek to integrate AI into cybersecurity leadership and strategic decision-making.

Unlike conventional technical labs, this workshop prioritizes executive-level AI adoption strategies by equipping participants with practical deliverables—tailored policies, frameworks, and governance models—to seamlessly operationalize AI in risk management, compliance, and security strategy.

Participants will engage in expert-led sessions focused on building AI-centric leadership, governance, and risk capabilities, ensuring real-world implementation across enterprise security operations.

The course is designed for those interested in the design, implementation and responsible use of artificial intelligence systems and products within their organization.

  • Certified CISOs (CCISO, PECB CISO, SANS CISO, etc.) looking to enhance their leadership toolkit with AI-driven strategies.
    Security Executives & Directors aiming to integrate AI-driven risk management and compliance solutions.
    Senior Cybersecurity Professionals preparing to transition into CISO roles with an AI-first mindset.
  • 💼 Chief Information Security Officer (CISO) – Provides executive oversight of an organization’s entire cybersecurity strategy.
    💼 Director of Security / Head of Information Security – Aligns security posture with business objectives and regulatory requirements.
    💼 VP of Security Operations – Oversees incident response, SOC automation, and AI-based threat intelligence.
    💼 Security Governance & Risk Advisor – Leads GRC initiatives and predictive AI-based risk assessments.
  • 🔹 AI-Enhanced Governance – Leverage AI to modernize policy development, regulatory compliance, and security governance.
    🔹 Advanced Risk Management – Apply machine learning and predictive analytics to forecast threats and prioritize cybersecurity resources.
    🔹 Strategic AI Leadership – Translate AI-driven security insights into board-level and C-suite discussions.
    🔹 Operational AI Frameworks – Develop ready-to-use policies, checklists, and governance toolkits for AI implementation.
  • Future-Proof Your Role – AI is reshaping cybersecurity; stay ahead by learning to lead AI adoption in security operations.
    Practical, Actionable Deliverables – Walk away with tangible AI-centric security policies and frameworks tailored for CISO responsibilities.
    Strengthen Executive Influence – Learn how to effectively communicate AI risks, opportunities, and ROI to stakeholders.
    Earn Recognition – Position yourself as an AI-capable cybersecurity leader in the evolving security landscape.
  • AI-Driven Decision-Making – Use AI-powered analytics and anomaly detection to prioritize cybersecurity risks.
    Enhanced Governance & Compliance – Align AI strategies with regulatory frameworks and enterprise security policies.
    Strategic Communication & Reporting – Convert technical AI findings into compelling business narratives.
    Cross-Functional Collaboration – Guide data science, legal, and HR teams in mitigating AI risks and compliance challenges.
  • 🧠 AI Foundations for CISO Leaders
    • Gain an executive-level understanding of Machine Learning (ML), Natural Language Processing (NLP), and AI governance.
    •  
    📜 Governance & Policy Modernization
    • Incorporate AI ethics, data privacy laws, and regulatory mandates into security governance frameworks.
    •  
    📊 AI-Driven Risk & Compliance Management
    • Implement machine learning models for predictive risk analysis, automated compliance monitoring, and fraud detection.
    •  
    🛡 AI in Security Operations & Incident Management
    • Utilize AI-powered threat intelligence, SOC automation, and real-time crisis response frameworks.
    •  
    💼 AI Leadership & Executive Communication
    • Master the CISO-to-Boardroom conversation on AI-driven security strategy, investments, and business impact.
  • 🔹 Policy & Framework Integration – Design AI-centric security policies aligned with enterprise GRC requirements.
    🔹 Advanced Risk Profiling – Use AI-driven risk analytics to prioritize threats and optimize resource allocation.
    🔹 Strategic Budgeting & ROI Justification – Build business cases for AI investments based on cost-benefit analysis.
    🔹 Team Enablement & AI Governance – Lead cross-functional teams to ensure ethical AI deployment and regulatory adherence.
  • 📌 Active CCISO (EC-Council) Certification or equivalent CISO-level certification (PECB, SANS, etc.) OR extensive CISO experience.
    📌 Working knowledge of cybersecurity governance, risk, and compliance (GRC).
    📌 Basic AI familiarity is beneficial but not mandatory—introductory AI materials will be provided.

Training Guide

1. Course Handbook

  • Comprehensive guide covering all course modules.
  • Detailed explanations of ISO/IEC 42001 principles, requirements, and implementation strategies.

2. Lecture Slides:

  • Visual aids used during lectures for better understanding.
  • Key points, diagrams, and examples.

3. Study Notes

  • Summarized notes for quick reference.
  • Important points highlighted from each lecture.

Service Guide

1. AI-Infused Domain Frameworks (for each CISSP domain)

  • Step-by-step instructions on how to implement the ISO/IEC 42001 standard.
  • Detailed processes, templates, and best practices.

2. Policy & Template Toolkits for governance, risk, and compliance

  • Templates to help identify, evaluate, and mitigate AI-related risks.
  • Examples and guidelines on how to fill out the templates.

3. Compliance Checklists

  • Checklists to ensure all necessary steps are taken for compliance.
  • Items covering legal, ethical, and operational aspects.

Practical Tools

 1. Case Studies

  • Real-world examples of successful ISO/IEC 42001 implementation.
  • Analysis of challenges faced and solutions applied.

 2. Interactive Exercises

  • Practical exercises to apply concepts learned.
  • Group activities, role-playing scenarios, and problem-solving tasks.

3. Certification preparation guides and practice exercises.

  • Access to AI management software or platforms used during the course.
  • Training on how to use these tools effectively.

Templates and Forms

1.Policy Templates

1- Downloadable PDF Handbooks and AI Reference Docs

2- Optional Recorded Sessions for post-workshop review

3- Supportive Online Community Forum for Q&A and resource sharing

4. Certification Exam Preparation

  • – Practice exams and sample questions.
  • – Study guides focused on certification requirements.

Practices

Practices for the ISO/IEC 42001 Course
English

1. Interactive Workshops:

Hands-on sessions where participants work on real-world scenarios.
Group activities to encourage collaboration and knowledge sharing.
Practical exercises to apply concepts learned.

2. Case Study Analysis:

In-depth examination of successful ISO/IEC 42001 implementations.
Discussion of challenges faced and solutions applied.
Lessons learned and best practices.

3. Risk Assessment Exercises:

Identifying and evaluating AI-related risks.
Developing risk mitigation strategies.
Using provided templates and tools for risk management.

4. Compliance Audits:

Conducting mock internal audits.
Reviewing compliance checklists and documentation.
Identifying areas for improvement and developing action plans.

5. Role-Playing Scenarios:

Simulating real-world situations to practice decision-making.
Role-playing different stakeholders to understand various perspectives.
Problem-solving tasks to reinforce learning.

6. Policy and Procedure Development:

Creating AI management policies using provided templates.
Developing standard operating procedures for AI tasks.
Customizing documents to fit organizational needs.

7. Ethical and Legal Considerations Workshops:

Discussing ethical implications and legal requirements of AI.
Analyzing case studies on ethical dilemmas.
Developing strategies for ethical AI management.

8. Software Tools Training:

Hands-on training with AI management software or platforms.
Demonstrating how to use tools effectively.
Practice sessions to build proficiency.

9. Q&A Sessions and One-on-One Consultations:

Scheduled sessions for participants to ask questions.
Opportunities for individual consultations with instructors.
Addressing specific concerns and providing tailored advice.

10. Certification Exam Preparation:

Practice exams and sample questions.
Study guides focused on certification requirements.
Tips and strategies for successful exam performance.

Arabic

1. ورش العمل التفاعلية:

جلسات عملية حيث يعمل المشاركون على سيناريوهات واقعية.
أنشطة جماعية لتعزيز التعاون وتبادل المعرفة.
تمارين عملية لتطبيق المفاهيم المكتسبة.

2. تحليل دراسات الحالة:

فحص متعمق لتنفيذات ناجحة لمعيار ISO/IEC 42001.
مناقشة التحديات التي واجهتها والحلول المطبقة.
الدروس المستفادة وأفضل الممارسات.

3. تمارين تقييم المخاطر:

تحديد وتقييم المخاطر المتعلقة بالذكاء الاصطناعي.
تطوير استراتيجيات التخفيف من المخاطر.
استخدام القوالب والأدوات المقدمة لإدارة المخاطر.

4. تدقيق الامتثال:

إجراء تدقيقات داخلية وهمية.
مراجعة قوائم التحقق ووثائق الامتثال.
تحديد مناطق التحسين وتطوير خطط العمل.

5. سيناريوهات لعب الأدوار:

محاكاة مواقف واقعية لممارسة اتخاذ القرارات.
لعب أدوار أصحاب المصلحة المختلفين لفهم وجهات النظر المختلفة.
مهام حل المشكلات لتعزيز التعلم.

6. تطوير السياسات والإجراءات:

إنشاء سياسات إدارة الذكاء الاصطناعي باستخدام القوالب المقدمة.
تطوير إجراءات التشغيل القياسية لمهام الذكاء الاصطناعي.
تخصيص الوثائق لتناسب احتياجات المنظمة.

7. ورش العمل حول الاعتبارات الأخلاقية والقانونية:

مناقشة التداعيات الأخلاقية والمتطلبات القانونية للذكاء الاصطناعي.
تحليل دراسات الحالة حول المعضلات الأخلاقية.
تطوير استراتيجيات لإدارة الذكاء الاصطناعي بشكل أخلاقي.

8. تدريب على أدوات البرمجيات:

تدريب عملي على إدارة البرمجيات أو المنصات المستخدمة في الذكاء الاصطناعي.
عرض كيفية استخدام الأدوات بشكل فعال.
جلسات تدريب لبناء الكفاءة.

9. جلسات الأسئلة والأجوبة والمشاورات الفردية:

جلسات مجدولة لطرح الأسئلة من قبل المشاركين.
فرص للتشاور الفردي مع المدربين.
معالجة القضايا المحددة وتقديم نصائح مخصصة.

10. التحضير لامتحان الشهادة:

اختبارات تجريبية وأسئلة نموذجية.
أدلة دراسية تركز على متطلبات الشهادة.
نصائح واستراتيجيات لتحقيق أداء ناجح في الامتحان.

By incorporating these practices into the course, participants will gain practical experience and confidence in implementing the ISO/IEC 42001 standard, preparing them effectively for real-world application and certification.

  • Course Introduction
  • Certificate Introduction & Exam Details.
  • 1.1 AI Fundamentals for Executive Security
  • 1.2 Mapping AI Tools to CISO Domains
  • 2.1 Crafting AI-Ready Policies & Strategies
  • 2.2 AI in Risk & Compliance Structures
  • 3.1 Reviewing AI-Based Governance Documents
  • 3.2 Validating Threat Models & Compliance Gaps
  • 4.1 Organizational Alignment & Stakeholder Engagement
  • 4.2 Resource Allocation & ROI for AI Initiatives
  • 5.1 Establishing Oversight for AI-Driven Security Operations
  • 5.2 Ensuring Ethical AI and Regulatory Conformity
  • 6.1 Integrating AI into SOC & Incident Response Playbooks
  • 6.2 Ongoing Optimization & Threat Intelligence
  • 7.1 iCISO Exam Preparation
  • 7.2 Final Review of AI-Centric Policies & Documents

(While there are no traditional labs, each module concludes with participants developing real-world templates and documentation applicable to their organizations.)

  • Course Introduction
  • Certificate Introduction & Exam Details.
  • 1.1 AI-Driven Governance and Policy – How to update existing security policies with AI considerations, including ethical AI guidelines.
    1.2 AI in Risk Assessment – Leveraging predictive analytics for threat forecasting and prioritization.
    1.3 Compliance and Regulatory Requirements – Incorporating evolving AI regulations into standard compliance checklists (e.g., GDPR, ISO 27001).
    1.4 Risk Quantification Models – Implementing AI-driven risk scoring methodologies to prioritize threats.
    1.5 AI in Third-Party Risk Management – Automating vendor risk assessments and compliance evaluations.
  • 2.1 Regulatory Frameworks for AI Security – Understanding ISO 42001, NIST AI RMF, AI Act, and other AI-focused compliance requirements.
    2.2 AI-Powered Compliance Monitoring – Automating security audits and real-time compliance checks.
    2.3 Legal & Ethical AI Considerations – Aligning AI security governance with legal and human rights frameworks.
    2.4 Audit Automation & AI – Enhancing traditional IT security audits with AI-driven analytics.
    2.5 AI in GRC Programs – Implementing AI-based governance, risk, and compliance (GRC) strategies for enterprise security.
  • 3.1 AI in SOC Automation – Using AI-powered SIEM, SOAR, and machine learning-based threat detection.
    3.2 Behavioral Analytics & Anomaly Detection – Leveraging AI to detect deviations from baseline security patterns.
    3.3 Threat Intelligence with AI – Automating cyber threat analysis and response strategies.
    3.4 AI-Driven Attack Simulations – Utilizing AI for proactive penetration testing and red teaming.
    3.5 Cloud & Hybrid Security Posture with AI – Managing security risks in AI-driven multi-cloud environments.

  • 4.1 AI-Powered Incident Detection & Response – Automating incident detection, classification, and response workflows.
    4.2 Forensic Analysis with AI – Enhancing digital forensics with AI-driven anomaly detection.
    4.3 AI for Crisis Management & Cyber Resilience – AI-enhanced contingency planning and disaster recovery.
    4.4 AI in Insider Threat Detection – Using AI to identify risky employee behaviors and potential security violations.
    4.5 Post-Incident AI-Driven Analytics – Leveraging AI for root cause analysis and post-breach remediation strategies.
  • 5.1 Boardroom-Level AI Strategy – Effectively communicating AI security risks, investments, and strategic benefits to executive leadership.
    5.2 AI-Driven Cybersecurity Budgeting & ROI – Justifying AI investments through cost-benefit analysis and efficiency metrics.
    5.3 AI in Cybersecurity Talent Development – Upskilling security teams for AI-driven security operations.
    5.4 Building Cross-Functional AI Collaboration – Engaging legal, HR, and compliance teams in AI-related security decisions.
    5.5 Developing AI-Centric CISO Playbooks – Creating governance frameworks, checklists, and security policies.
  • 6.1 Automating Compliance & Audit Workflows with AI – Reducing manual audit processes using AI-driven compliance tools.
    6.2 Vendor Risk Management with AI – Assessing supplier security postures using AI-powered risk evaluation.
    6.3 AI in Digital Supply Chain Security – Addressing AI-related risks in third-party ecosystems.
    6.4 Managing AI Bias & Ethics in Security Decisions – Implementing ethical AI frameworks to minimize risks.
    6.5 Third-Party AI Security Assessments – Evaluating AI-based cybersecurity products and services before adoption.
  • 7.1 AI-Enhanced Threat Hunting – Using AI for predictive threat modeling and proactive cyber defense.
    7.2 Adversarial AI & Offensive Security – Understanding how attackers exploit AI and countering adversarial machine learning.
    7.3 Automated Security Validation with AI – Leveraging AI for vulnerability scanning and security testing.
    7.4 Threat Modeling & AI Risk Assessment – Implementing AI-enhanced methodologies for threat analysis.
    7.5 Developing AI-Enabled Incident Response Playbooks – Creating AI-powered workflows for security teams.

Participants will build an AI-integrated security framework covering:

  • 8.1 Developing an AI-Integrated Security Governance Framework – Customizing policies based on enterprise needs.
    8.2 AI-Powered Risk & Compliance Assessment Toolkit – Creating AI-driven GRC models.
    8.3 Executive-Level AI Security Report – Drafting AI-centric security strategy presentations for board review.
    8.4 Real-World AI Strategy Implementation Plan – Defining roadmap for AI adoption in cybersecurity operations.
    8.5 AI for Cybersecurity Maturity Assessments – Benchmarking AI-readiness using leading industry standards.

Final Outcome: A customized, AI-driven cybersecurity leadership framework tailored to each participant’s organization.

Capstone Project: AI-Infused CISO Playbook

Participants will build an AI-integrated security framework covering:

  • ✅ AI-powered governance models.
    AI-driven risk assessments & compliance checklists.
    Strategic AI-infused board reporting templates.
    ✅ AI-enabled incident response & SOC automation plans.

Final Outcome: A customized, AI-driven cybersecurity leadership framework tailored to each participant’s organization.

  • ✅ AI-powered governance models.
    AI-driven risk assessments & compliance checklists.
    Strategic AI-infused board reporting templates.
    ✅ AI-enabled incident response & SOC automation plans.
  •  

Certificate/accreditation and examination

1. The importance of certification:

  • Journalists and content creators who work in various media outlets and want to keep up with technological developments.

2. The Exam:

  • Journalists and content creators who work in various media outlets and want to keep up with technological developments.

3. Certificate and accreditation:

Attendance Testimonials

1. مقدمة عن التقنيات الحديثة في الإعلام:

  • تعريف بالذكاء الاصطناعي والميتافيرس.
  • أهمية تطبيقاتهم في مجالات الصحافة والإعلام والثقافة.

Q&A

1. مقدمة عن التقنيات الحديثة في الإعلام:

  • تعريف بالذكاء الاصطناعي والميتافيرس.
  • أهمية تطبيقاتهم في مجالات الصحافة والإعلام والثقافة.

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Ramy AlDamati

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LEVEL
Professional
Duration
5 Days
Modules
8

General Informations

  • – Delivery Languages : Arabic or English.
  • Material Languages : Arabic or English.
  • – Delivery Format: Inperson, Online , or Self-Based video lectures.
  • – Access from any device and from anywhere.
  • – Internationally recognized certificate of attendance.
  • – CPE/CPD credits.

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Plan Your Next Steps

Get a Full 360° Intelligent Chief Information Security Officer (iCISO)™ : These next steps provide Customers with a clear pathway to certification, practical tools for success, and continued professional development as Intelligent Chief Information Security Officer (iCISO)™

Join Classroom

Attend live, interactive sessions either online or Recorded inperson for a collaborative learning experience. Sessions led by industry experts, offering opportunities for networking, hands-on exercises, and real-time discussions to deepen their understanding of AI governance and oversight.

Take the Exam

Ready to validate your skills and knowledge by taking the exam. This assessment ensures participants are equipped to lead AI initiatives effectively, covering governance, strategy, compliance, and project management.



Study Materials

Receive comprehensive study materials and the iCISO Body of Knowledge (BoK)—a curated collection of core concepts, frameworks, and tools centered around AI-infused security. These resources are designed to bolster your learning experience and serve as a long-term reference throughout your professional development.

Virtual iCISO Services

Our Virtual iCISO™ services provide a comprehensive solution for organizations seeking to integrate AI into their operations with expert leadership and minimal overhead. We offer strategic AI consulting tailored to your business needs, helping you design, implement, and manage AI-driven solutions.



iCISO Preparedness Tooling™

The iCISO Preparedness Tooling™ equips participants with practical resources to oversee AI-infused security initiatives. It includes templates for governance policies, risk assessment frameworks, compliance checklists, and tools for managing AI-driven projects and teams. This toolkit ensures participants are ready to apply their skills immediately within their organizations.

iCISO Knowledge Resources

The iCISO Knowledge Guides are a collection of in-depth, expert-authored documents covering specialized topics like AI risk management, ethical AI practices, and regulatory compliance. These guides serve as valuable references, helping professionals stay updated and make informed decisions as they integrate AI into their cybersecurity strategies.


Hire a iCISO

Hire an experienced Intelligent Chief Information Security Officer (iCISO). Outsource your AI leadership to an independent expert for top-tier AI strategy and guidance.

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