التقنية : الميتافيرس

خبير مركز عمليات أمن الذكاء الاصطناعي™

AI Security Operations Center Expert (AiSOC-X)™ Workshop

Become the Operational Backbone of AI Security: The AiSOC-X™ Course equips next-generation AI security professionals to monitor, detect, and respond to threats across AI systems and models. As AI deployment accelerates, organizations must evolve beyond traditional SOCs. AiSOC-X™ enables participants to design, operate, and lead AI-focused SOC environments tailored for adversarial risks, prompt abuse, and real-time monitoring—becoming a critical part of AI security infrastructure.

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About the Workshop

The AiSOC-X™ Professional Workshop is a 5-day technical and operational program designed to:

– Build and structure a fully functional AI Security Operations Center (AiSOC)
– Detect, investigate, and respond to threats targeting AI/ML systems
– Monitor models for drift, hallucination, poisoning, and prompt injection
– Align with frameworks such as ISO 42001, NIST AI RMF, and OWASP AI Security
– Transition security capabilities to an AiSOC-as-a-Service model for internal or client operations

Unlike traditional SOC training, AiSOC-X™ focuses solely on AI threats—empowering practitioners to protect generative AI, LLMs, and advanced machine learning models in real-time.

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

✅ AI Security Analysts & Engineers
Responsible for monitoring, detecting, and mitigating AI-specific threats (e.g., model drift, hallucinations, prompt injection).
✅ SOC Leaders, Threat Hunters, and Red Teamers
Focused on adversarial AI simulation, attack surface exploration, and SOC automation for AI.
✅ CISOs, CAISOs, and AI Security Architects
Designing or overseeing AI security programs and looking to embed real-time monitoring capabilities.
✅ Compliance, Risk, and GRC Officers in AI-Driven Organizations
Managing AI system audits, compliance reporting, and cross-functional incident escalation.
✅ Incident Response & Digital Forensics Specialists
Handling AI-related compromises, model poisoning, prompt abuse, and regulatory escalation.
✅ AI DevOps and ML Platform Engineers
Building telemetry pipelines and integrating observability, detection, and ethics tracking into AI stacks.

💼 AI Security Operations Engineer – Monitors and investigates threats to AI models and systems
💼 AISOC Manager – Designs and leads the operational framework of an AI-focused SOC
💼 Red Team Lead – Adversarial AI – Simulates attacks on AI models to enhance security readiness
💼 AI IR & Forensics Specialist – Responds to prompt injections, drift, and model compromise events
💼 CAISO Support Specialist – Provides technical implementation for board-level AI risk governance

🔹 Design & Structure of an AiSOC – Org charts, access controls, and operational mandates
🔹 Model Monitoring & Detection – Tools and telemetry for observing AI-specific behaviors
🔹 IR for Adversarial AI Attacks – Hands-on response to real-world AI threat scenarios
🔹 GRC & Compliance Integration – Operational mapping to ISO 42001 and regulatory frameworks
🔹 Maturity Planning – Develop a 30/60/90 day roadmap to elevate AiSOC capabilities
🔹 Service Transition Strategy – Learn to launch AiSOC-as-a-Service for clients and partners.

✔ Master AI-specific security operations and build your organization’s first AiSOC
✔ Stay ahead of LLM security threats like prompt injection, hallucination, and misuse
✔ Lead adversarial testing and model behavior monitoring with real-world tools
✔ Align operational practices with ISO 42001, OWASP AI, and NIST AI RMF standards
✔ Become the go-to expert for transitioning security teams to AI-focused SOC structures

✅ Design and Lead AiSOC Operations
✅ Monitor and Detect AI Model Threats in Real-Time
✅ Conduct Incident Response for AI System Compromise
✅ Build Adversarial Simulation and Red Teaming Programs
✅ Integrate SOC Outputs into Enterprise GRC Platforms
✅ Develop Ethics Oversight and Logging Practices for AI Models
✅ Transition Internal SOC to Offer Managed AiSOC Services (MSP Model)

– AiSOC Mission, Roles & Frameworks
Understand the strategic value and architecture of AI-focused security operations.
– Detection, Logging & Monitoring
Identify telemetry sources, model behaviors, and indicators of compromise unique to AI systems.
– Adversarial Threat Response
Learn playbooks for incidents like data poisoning, hallucination, and prompt manipulation.
– Compliance & Governance Readiness
Ensure SOC operations are auditable and aligned with global AI security and privacy mandates.
– Maturity Planning & KPIs
Benchmark the SOC’s effectiveness and plan capability improvements over time.
– AiSOC-as-a-Service
Build client-facing operational models, service tiers, and pricing logic for MSP offerings.

– Building and Structuring an AiSOC
– Implementing Model Behavior Detection Pipelines
– Conducting Prompt Injection & Hallucination IR
– Designing AI Security Playbooks and War Rooms
– Mapping AiSOC Operations to ISO 42001 and NIST AI RMF
– Leading Operational Compliance & Audit Response
– Defining Metrics, SLAs, and Client Delivery Models for AiSOC-as-a-Service

📌 Experience in security operations, blue teaming, SOC, or cybersecurity is recommended
📌 Familiarity with AI systems, LLMs, or ML pipelines is helpful
📌 Red team or IR background is a strong plus
📌 Pre-course reading includes AiSOC Framework and OWASP AI Security Guidelines

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

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

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: Introduction to AiSOC & Career Pathways

1.1 Evolution of AI Security
1.2 Need for a Dedicated AiSOC
1.3 AiSOC vs Traditional SOC
1.4 AI Security Career Tracks
1.5 Job Roles, Salary Bands & Certifications
1.6 Career Mapping: Technical, Operational, Governance

Deliverables:

– Career Progression Blueprint
– Skills Matrix Template

Module 2: AiSOC Organizational Framework & Design

2.1 AiSOC Mission & Objectives
2.2 AiSOC Operating Models
2.3 Team Tiers (Leadership, Ops, Technical, Specialized)
2.4 Roles & Responsibilities
2.5 Building Job Descriptions & Reporting Lines

Deliverables:

– Org Chart for AiSOC
– Role-Based Access Control Map

Module 3: Technology Stack for AI Security Monitoring

3.1 Core Tools: AI-SIEM, IDS/IPS, SOAR
3.2 Prompt Injection Detectors
3.3 Model Drift & Poisoning Monitors
3.4 Threat Intelligence Platforms
3.5 Data Security Layers
3.6 AI Forensics & Evidence Collection
3.7 Integration with NOC & ITSM

Deliverables:

– AiSOC Tooling Architecture
– Tech Capability Evaluation Checklist

Module 4: Monitoring, Detection & Threat Hunting

4.1 AI-Specific Telemetry: What to Log
4.2 Threat Indicators & Baselines for AI Models
4.3 Behavioral Analytics for ML/LLM Systems
4.4 Threat Hunting Frameworks
4.5 Real-Time Anomaly Detection
4.6 Model Abuse, Hallucination & System Manipulation

Deliverables:

– Detection Use Cases
– Threat Hunting Workbook

Module 5: Incident Response for AI Threats

5.1 NIST-based IR Lifecycle (Tailored for AI)
5.2 Common AI Incidents (Prompt Injection, Data Poisoning, etc.)
5.3 Response Playbooks by Scenario
5.4 Communication Templates & War Room Planning
5.5 Post-Incident Analysis
5.6 Forensics & Evidence Chain

Deliverables:

– AI Incident Response Playbook
– IR Team Roles & Escalation Matrix

Module 6: Governance, Compliance & Ethics

6.1 Integration with ISO 42001, NIST AI RMF
6.2 Mapping to GDPR, HIPAA, and Sector-Specific Regulations
6.3 Audit & Explainability Readiness
6.4 AI Ethics Escalation Points
6.5 Compliance Dashboard & Metrics

Deliverables:

– GRC Mapping Template
– Ethics Oversight Checklist

Module 7: Maturity Model & Roadmap

7.1 AiSOC Maturity Levels (Initial to Optimizing)
7.2 KPIs & Metrics for AiSOC Growth
7.3 Self-Assessment Toolkit
7.4 Building a 12-Month Maturity Plan

Deliverables:

– Maturity Assessment Tool
– 30/60/90 Day Maturity Action Plan

Module 8: Transitioning AiSOC to a Managed Service

8.1 Why Offer AiSOC-as-a-Service
8.2 Business Models (Fully Managed, Co-managed, On-Demand)
8.3 Service Catalogs (Core, Advanced, Specialized)
8.4 Pricing Strategies (Tiered, Usage, Outcome-Based)
8.5 SLAs & Reporting

Deliverables:

MSP Business Blueprint
Client SLA & Service Tiers Sample Pack

Module 9: Capstone Project – Build Your AiSOC

Participants Will:

– Draft an AiSOC operating plan
– Build an incident response matrix
– Simulate a model compromise scenario
– Design an ethics governance process
– Develop a client MSP offering

Capstone Deliverables:

– AiSOC Blueprint
– Incident Workflow
– Ethics & GRC Bundle
– MSP Go-to-Market Strategy

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.

✅ AiSOC Role & Org Charts
✅ Detection Use Case & Threat Hunting Workbooks
✅ AI IR Playbooks and Escalation Matrices
✅ AI-Specific GRC Mapping Templates
✅ Tooling Architecture Templates & Capability Maps
✅ Ethics Oversight & Incident Response Checklists
✅ SLA + Service Tier Blueprints for AiSOC-as-a-Service

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.

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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

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Ideas & Recommendations

Suggest for us good Profiles like yours to join us:

Other Inputs & Details

I consent to having this website store my submitted information so they can respond to my inquiry

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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° AI Security Operations Center Expert (AiSOC-X)™ : These next steps provide Customers with a clear pathway to certification, practical tools for success, and continued professional development as AI Security Operations Center Expert (AiSOC-X)™

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 AiSOC-X 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 AiSOC-X Services

Our Virtual AiSOC-X™ 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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AiSOC-X Preparedness Tooling™

The AiSOC-X 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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AiSOC-X Knowledge Resources

The AiSOC-X 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 AiSOC-X

Hire an experienced AI Security Operations Center Expert (AiSOC-X™). Outsource your AI leadership to an independent expert for top-tier AI strategy and guidance.

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