التقنية : الميتافيرس

محترف جارديان لأمن الذكاء الاصطناعي ™

GUARDIAN AI Security Professional (GAISP)™ Workshop

Lead the Future of AI Security and Governance: The GAISP™ Workshop is an intensive, role-based training designed to build elite AI security professionals capable of defending, governing, and ensuring compliance in AI systems. As AI becomes a core enterprise asset, the demand for skilled leaders in AI threat modeling, governance, and secure deployment has never been higher. GAISP™ is your gateway to becoming the trusted professional every AI-driven organization needs.

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About the Workshop

The GUARDIAN AI Security Professional (GAISP)™ program is a 5-day immersive training course designed to help professionals:

– Understand AI-specific security vulnerabilities and adversarial risks.
– Apply threat modeling techniques using STRIDE, LINDDUN, OWASP, and MITRE ATLAS.
– Implement security and privacy controls aligned with ISO 42001 and ISO 27001.
– Develop practical playbooks for AI threat detection and incident response.
– Govern AI systems ethically, securely, and in line with international compliance.

This course bridges the gap between traditional cybersecurity and AI-specific risks, providing security professionals, AI engineers, and compliance officers with a battle-tested, hands-on certification pathway.

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

✅ Chief AI Officers (CAIOs) aiming to build out the AI security function
✅ CISOs, CTOs, or CROs expanding oversight to AI models, pipelines, and governance
✅ Senior AI/ML Architects & Risk Officers preparing for executive leadership in AI security
✅ Compliance and Governance Leaders establishing ethical AI oversight frameworks
✅ 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.

💼 AI Security Architect – Designs secure AI system architectures and deployment environments
💼 AI Risk Analyst – Performs AI threat modeling, risk assessments, and defense planning
💼 AI Governance Specialist – Aligns AI operations with ISO 42001, GDPR, and ethical principles
💼 AI Compliance Manager – Ensures AI auditability, policy enforcement, and secure operations

🔹 AI-Specific Threat Modeling – Apply STRIDE, LINDDUN, OWASP AI, and MITRE ATLAS to uncover and address threats
🔹 AI Lifecycle Security – Secure data, models, infrastructure, APIs, and outputs from development to deployment
🔹 Adversarial Defense – Design mitigation strategies for data poisoning, model inversion, and evasion attacks
🔹 AI Compliance & Privacy Governance – Align with ISO 42001, ISO 27001, ISO 27701, GDPR, and CCPA
🔹 Monitoring & Incident Response – Build detection systems and playbooks for AI-specific threats

✔ Gain tactical and strategic skills in AI security and governance
✔ Lead AI threat assessments and develop enterprise-wide AI security controls
✔ Implement the GUARDIAN AI Framework for structured, standards-aligned AI protection
✔ Prepare for the GAISP™ certification and future AI audits
✔ Join a growing global community of AI security professionals

✅ AI-Specific Threat Modeling & Risk Assessment
✅ Governance Alignment with ISO 42001 and NIST AI RMF
✅ AI Adversarial Defense Design
✅ Secure AI Architecture & Deployment Practices
✅ Monitoring & AI Incident Response Playbooks
✅ Compliance, Audit, and Policy Implementation

– AI Security Governance Foundations
Governance frameworks, organizational roles, ISO 42001 mapping
– AI Threat Modeling & Vulnerability Discovery
Hands-on use of STRIDE, LINDDUN, MITRE, and OWASP for AI systems
– Adversarial AI Risks & Red Teaming
Practical simulation of attacks and defense mechanisms
– Secure AI Engineering
Development of secure-by-design AI components and pipelines
– Regulatory Compliance & Privacy Integration
GDPR, CCPA, ISO 27701, and audit-readiness protocols
– Incident Response & AI Security Monitoring
Building response plans, detection mechanisms, and feedback loops

– Threat modeling using STRIDE, LINDDUN, MITRE ATT&CK, and OWASP AI Top 10
– AI governance planning with ISO 42001 and NIST AI RMF
– AI risk quantification and mitigation design
– Secure design for AI pipelines and ML workflows
– Incident detection, response, and anomaly monitoring in AI systems
– End-to-end audit and compliance documentation for AI

🔹 Experience in cybersecurity, AI/ML, IT governance, or risk management
🔹 Familiarity with AI lifecycle stages and common AI components
🔹 Pre-reading includes: Overview of ISO/IEC 42001, NIST AI RMF, and GUARDIAN AI Framework

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.

- Overview

Course Introduction
Certificate Introduction & Exam Details.

(1) Learn (Learning and Knowledge Foundation)

1.1 AI Fundamentals for Executive Security
1.2 Mapping AI Tools to CISO Domains

(2) Execute (Building and Modeling)

2.1 Crafting AI-Ready Policies & Strategies
2.2 AI in Risk & Compliance Structures

(3) Assess (Practice, Exercise, and Testing)

3.1 Reviewing AI-Based Governance Documents
3.2 Validating Threat Models & Compliance Gaps

(4) Plan (Evaluation and Enablement)

4.1 Organizational Alignment & Stakeholder Engagement
4.2 Resource Allocation & ROI for AI Initiatives

(5) Govern (Governance, Security, Compliance)

5.1 Establishing Oversight for AI-Driven Security Operations
5.2 Ensuring Ethical AI and Regulatory Conformity

(6) Deploy (Deployment and Continuous Monitoring)

6.1 Integrating AI into SOC & Incident Response Playbooks
6.2 Ongoing Optimization & Threat Intelligence

(7) Certify (Certification and Validation)

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.)

- Overview

Course Introduction
Certificate Introduction & Exam Details.

Module 1: Foundations of AI Security & Governance

Lays the groundwork for understanding the unique security challenges of AI systems, introduces the GUARDIAN AI Framework, and connects AI with global governance structures.

1.1 Understanding the AI security threat landscape
1.2 Introduction to the GUARDIAN AI Framework
1.3 AI GRC structure and ISO 42001 alignment
1.4 AI system lifecycle and its security implications
1.5 Ethical AI: Governance pillars and explainability

Module 2: AI Threat Modeling in Practice

Deep dive into the tools and techniques of modeling threats specific to AI systems.

2.1 Applying STRIDE for AI models, APIs, and datasets
2.2 Applying LINDDUN for AI privacy threat analysis
2.3 OWASP Top 10 for AI vulnerabilities
2.4 MITRE ATLAS: Adversarial tactics and mapping
2.5 NIST AI RMF: Risk assessment and prioritization
2.6 Threat modeling workshop with real-world AI use cases

Module 3: Securing the AI Lifecycle

Covers securing every stage of the AI pipeline—from data ingestion to deployment and inference.

3.1 Protecting training and test datasets
3.2 Securing ML models and inference outputs
3.3 Secure MLOps, CI/CD pipelines, and containers
3.4 Hardening APIs, endpoints, and AI services
3.5 Role-based access controls and policy enforcement
3.6 Cryptographic controls and AI data encryption

Module 4: Adversarial AI and Defense Mechanisms

Explores adversarial ML threats and defense strategies in production systems.

4.1 Types of adversarial attacks (evasion, poisoning, extraction)
4.2 Prompt injection and jailbreak scenarios in LLMs
4.3 Techniques for adversarial training and defense
4.4 Model hardening techniques and resilience metrics
4.5 Monitoring adversarial activity in real-time pipelines
4.6 Red/Blue team simulations for AI

Module 5: Governance, Compliance & Audit Readiness

Teaches how to align AI systems with legal and regulatory standards and ensure ongoing auditability.

5.1 ISO 42001: Governance structure, risk policies, documentation
5.2 Privacy-by-design implementation (ISO 27701, GDPR, CCPA)
5.3 Ethics policies and responsible AI documentation
5.4 Developing AI audit trails and system logs
5.5 Explainability and accountability frameworks
5.6 Mapping compliance to AI use cases (finance, health, public)

Module 6: Incident Response and AI SOC (AiSOC)

Equips participants to handle AI-specific incidents and set up an AI Security Operations Center.

6.1 Building detection pipelines for AI behavior anomalies
6.2 Secure logging, event tracing, and forensics
6.3 Response playbooks and rollback protocols
6.4 Handling hallucinations, bias, drift, and model failure
6.5 Building AiSOC-lite functions for AI monitoring
6.6 Defining AiSOC KPIs, SLAs, and maturity roadmap

Module 7: Secure Deployment of Generative and Autonomous AI

Focused training on LLMs, GenAI models, and autonomous agents in real-world use.

7.1 Threats in LLMs (prompt injection, training leakage)
7.2 Securing outputs, plugins, and embedded agents
7.3 Fine-tuning and RLHF risks and mitigation
7.4 Autonomous AI system guardrails and constraints
7.5 API management and sandboxing for generative systems

Module 8: AI Security Architecture & Engineering

A technical deep dive into designing secure AI solutions from the ground up.

8.1 Security-by-design principles for AI systems
8.2 Trust boundaries in AI/ML architecture
8.3 Cloud-native and edge-based AI security controls
8.4 Secure deployment blueprints (Azure, AWS, GCP)
8.5 Tooling for static and dynamic analysis in AI codebases

Module 9: Risk Quantification and AI Assurance

Helps professionals quantify AI risks and build assurance frameworks.

9.1 AI risk registers and scoring systems
9.2 Measuring and monitoring model drift, bias, and uncertainty
9.3 KPIs and KRIs for AI assurance programs
9.4 Communicating AI security posture and risk to leadership

Module 10: Capstone – AI Risk Management Simulation & Framework Integration

Final team project simulating a real-world risk assessment and control integration.

10.1 Case study: Full threat modeling and mitigation
10.2 Develop AI risk and compliance roadmap
10.3 Align mitigation with ISO/NIST/OWASP frameworks
10.4 Prepare AI security governance briefing for executive review

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 Governance & Policy Toolkits.
✅ AI Risk & Threat Modeling Kits.
✅ Compliance & Audit Frameworks.
✅ Incident Response Plan for AI Systems
✅ Threat Modeling Canvas (GAISP Edition)
✅ AI Risk Register Template
✅ AI Governance Policy Samples
✅ AI Compliance Checklist (ISO 42001 / GDPR / NIST)
✅ Incident Response Plan for AI Systems

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:

Read the details here

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.

Registrations is Closed, please Watch the Recording or Contact us for another class

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Your Interest
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More Details
GDPR T&C

First Name

Last Name

Country

City

Gender

Phone/Mobile

Upload Profile Image

Choose File

Verse-related Technologies

Interested to be Part of

Which Program you might be interested

LinkedIn Profile

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Ideas & Recommendations

Suggest for us good Profiles like yours to join us:

Other Inputs & Details

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LEVEL

Professional

Duration

5 Days

Modules

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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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.

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Study Materials

Receive comprehensive study materials and the GAISP 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.

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Virtual GAISP Services

Our Virtual GAISP™ 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.

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GAISP Preparedness Tooling™

The GAISP 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.

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GAISP Knowledge Resources

The GAISP 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.

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Hire an experienced GUARDIAN AI Security Professional (GAISP). Outsource your AI leadership to an independent expert for top-tier AI strategy and guidance.

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