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Quest Training

Digital Regulations Compliance: AI, Data & Cyber Laws Training Course

Turns obligations under AI, data protection and cybersecurity laws into practical policies, compliance controls and accountable governance within organizations.

DGR · Digital Governance, Risk & ComplianceAll Levels#2744ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Data, Analytics & Digital TransformationCategories:Digital Governance, Risk & Compliance

Course Overview

This course equips participants with the practical knowledge to navigate digital regulatory requirements governing artificial intelligence, data protection, cybersecurity, and technology-enabled business operations. It focuses on translating legal and regulatory obligations into organizational policies, compliance controls, risk management procedures, and accountable governance practices. Participants explore AI governance and accountability, data privacy and protection, cybersecurity obligations, digital risk oversight, regulatory assessments, and compliance monitoring. The programme emphasizes practical approaches to identifying regulatory exposure, documenting compliance evidence, managing incidents, and aligning digital operations with applicable legal requirements across regulated and technology-driven environments.

Learning Objectives

  • By the end of the course, participants will be able to:
  • Explain the regulatory principles governing artificial intelligence, data protection, and cybersecurity.
  • Identify relevant digital laws, regulations, standards, and supervisory requirements applicable to their organizations.
  • Assess regulatory obligations associated with AI systems, personal data processing, and digital services.
  • Develop compliance policies, procedures, and internal controls for digital operations.
  • Apply AI governance principles covering accountability, transparency, human oversight, and risk assessment.
  • Evaluate data protection requirements, including lawful processing, data minimization, retention, and individual rights.
  • Assess cybersecurity compliance obligations relating to access control, incident reporting, information security, and resilience.
  • Conduct digital regulatory risk assessments and identify potential compliance gaps.
  • Establish documentation, monitoring, reporting, and audit mechanisms to demonstrate compliance.
  • Develop an implementation roadmap for strengthening compliance with applicable AI, data, and cybersecurity requirements.

Who Should Attend

This course is designed for legal and compliance professionals, regulatory affairs specialists, data protection officers, information security managers, cybersecurity professionals, risk managers, internal auditors, and governance specialists responsible for interpreting or implementing digital regulatory requirements. It is particularly relevant to professionals who oversee AI adoption, personal data processing, digital service delivery, technology risk, and regulatory compliance programmes. The programme is also suitable for IT directors, digital transformation leaders, enterprise risk professionals, privacy specialists, AI programme managers, and senior executives in government entities, ministries, banks, financial institutions, insurance companies, oil and gas organizations, industrial enterprises, and large corporations. Participants will benefit from familiarity with organizational policies, information systems, legal compliance, risk management, or technology governance. Specific legal obligations should be assessed against the jurisdictions in which the organization operates.

Learning Outcomes

  • Map applicable digital regulatory requirements to organizational activities and technology systems.
  • Identify compliance responsibilities relating to AI deployment, data processing, and cybersecurity.
  • Evaluate AI use cases against relevant governance, transparency, accountability, and risk requirements.
  • Assess data processing activities against applicable privacy and data protection obligations.
  • Develop policies and controls for lawful data handling, access management, retention, and information security.
  • Establish procedures for cybersecurity incidents, regulatory notifications, and evidence preservation where required.
  • Conduct regulatory gap assessments and document corrective actions.
  • Define compliance responsibilities across legal, IT, security, data, and business functions.
  • Design compliance monitoring, reporting, and audit processes.
  • Prepare a practical action plan for maintaining regulatory compliance as digital technologies and legal requirements evolve.

Course Outline

Day 1

Digital Regulatory Frameworks and Compliance Fundamentals

  • Understanding the relationship between digital regulation, corporate governance, technology risk, and organizational accountability.
  • Examining the regulatory landscape for AI, data protection, cybersecurity, and digital services.
  • Distinguishing between legislation, regulatory rules, supervisory guidance, technical standards, and contractual obligations.
  • Identifying jurisdictional considerations and determining which requirements apply to organizational activities.
  • Mapping digital systems, business processes, data flows, and third-party services to regulatory obligations.
  • Understanding the responsibilities of executive management, compliance functions, legal teams, technology departments, and business owners.
  • Establishing regulatory inventories, compliance registers, and obligations ownership.
  • Reviewing risk-based approaches to regulatory compliance and control implementation.
  • Practical Exercise: Develop a preliminary digital regulatory obligations register for a selected organization, covering AI, data, and cybersecurity requirements.
Day 2

AI Regulation, Governance, and Responsible AI Compliance

  • Understanding emerging regulatory approaches to artificial intelligence and automated decision-making.
  • Identifying regulatory considerations for AI development, procurement, deployment, and ongoing operation.
  • Assessing AI use cases according to risk, potential impact, and applicable legal requirements.
  • Establishing accountability, governance responsibilities, and human oversight arrangements.
  • Addressing transparency, explainability, fairness, bias, and appropriate disclosure in AI applications.
  • Reviewing requirements for AI documentation, risk assessments, system records, and operational monitoring.
  • Managing third-party AI services, external models, and vendor-related compliance responsibilities.
  • Establishing controls for generative AI, confidential information, intellectual property, and unsupported outputs.
  • Practical Exercise: Conduct an AI compliance assessment for a proposed enterprise use case and identify governance controls, documentation needs, and outstanding regulatory questions.
Day 3

Data Protection, Privacy, and Data Governance Compliance

  • Understanding data protection principles and the legal responsibilities associated with personal data processing.
  • Identifying lawful bases for processing and requirements relating to consent where applicable.
  • Applying data minimization, purpose limitation, accuracy, retention, and secure disposal principles.
  • Managing data subject rights and establishing procedures for handling relevant requests.
  • Evaluating cross-border data transfers, third-party processing, and data sharing arrangements.
  • Reviewing privacy impact assessments and risk assessments for sensitive or high-risk processing activities.
  • Establishing data classification, access controls, retention schedules, and records of processing activities.
  • Integrating privacy requirements into system design, procurement, and digital transformation projects.
  • Practical Exercise: Assess a data processing scenario, identify potential compliance gaps, and prepare a corrective action plan covering governance, access, retention, and privacy safeguards.
Day 4

Cybersecurity Laws, Incident Reporting, and Digital Risk Obligations

  • Understanding regulatory expectations for cybersecurity governance and information security management.
  • Reviewing legal and regulatory obligations relating to security controls, access management, and protection of critical information.
  • Assessing incident detection, response, escalation, and notification requirements under applicable rules.
  • Establishing incident documentation, evidence preservation, and investigation procedures.
  • Understanding business continuity, disaster recovery, and digital resilience obligations where applicable.
  • Evaluating third-party technology, cloud service, and digital supply chain risks.
  • Integrating cybersecurity risk assessments with regulatory compliance and enterprise risk management.
  • Reviewing audit evidence, security documentation, control testing, and remediation tracking.
  • Practical Exercise: Simulate a cybersecurity incident and prepare a compliance response plan covering internal escalation, evidence preservation, assessment of notification duties, and corrective actions.
Day 5

Compliance Auditing, Regulatory Reporting, and Implementation Roadmap

  • Developing a structured digital compliance management framework.
  • Conducting regulatory gap assessments across AI, data protection, cybersecurity, and technology operations.
  • Prioritizing compliance deficiencies according to legal exposure, business impact, and remediation urgency.
  • Establishing compliance monitoring plans, control testing schedules, and evidence management procedures.
  • Defining key compliance indicators, reporting responsibilities, and escalation thresholds.
  • Preparing for internal audits, external assessments, regulatory reviews, and supervisory enquiries.
  • Integrating compliance requirements into procurement, project approval, vendor management, and change management.
  • Establishing procedures for regulatory updates, policy revisions, staff awareness, and continuous improvement.
  • Final Workshop: Develop and present a digital regulatory compliance roadmap covering applicable obligations, AI governance, data protection, cybersecurity controls, compliance ownership, audit evidence, monitoring indicators, and implementation priorities.

Upcoming Dates

Selected date

Casablanca · 22 – 26 Feb 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
MadridScheduled
2 – 6 Nov 2026€5,400—
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IstanbulScheduled
2 – 6 Nov 2026€4,700—
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ManamaScheduled
9 – 13 Nov 2026€4,700—
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MarbellaScheduled
16 – 20 Nov 2026€5,400—
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LisbonScheduled
23 – 27 Nov 2026€5,400€4,860until 2 Nov
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MarrakeshScheduled
23 – 27 Nov 2026€4,300€3,870until 2 Nov
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MilanScheduled
30 Nov – 4 Dec 2026€6,000€5,400until 9 Nov
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MuscatScheduled
7 – 11 Dec 2026€5,300€4,770until 16 Nov
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OnlineScheduled
13 – 17 Dec 2026€1,700€1,530until 23 Nov
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ParisScheduled
14 – 18 Dec 2026€5,700€5,130until 23 Nov
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LondonScheduled
14 – 18 Dec 2026€5,600€5,040until 23 Nov
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RiyadhScheduled
21 – 25 Dec 2026€4,200€3,780until 30 Nov
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MadinahScheduled
28 Dec 2026 – 1 Jan 2027€4,200€3,780until 7 Dec
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RomeScheduled
28 Dec 2026 – 1 Jan 2027€5,800€5,220until 7 Dec
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SalalahScheduled
4 – 8 Jan 2027€5,300€4,770until 14 Dec
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Sharm El-SheikhScheduled
11 – 15 Jan 2027€4,300€3,870until 21 Dec
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ViennaScheduled
18 – 22 Jan 2027€5,700€5,130until 28 Dec
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MakkahScheduled
18 – 22 Jan 2027€4,200€3,780until 28 Dec
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AccraScheduled
25 – 29 Jan 2027€5,100€4,590until 4 Jan
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AbujaScheduled
25 – 29 Jan 2027€5,100€4,590until 4 Jan
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AmsterdamScheduled
1 – 5 Feb 2027€5,400€4,860until 11 Jan
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AmmanScheduled
7 – 11 Feb 2027€3,100€2,790until 18 Jan
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BarcelonaScheduled
8 – 12 Feb 2027€5,400€4,860until 18 Jan
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CairoScheduled
15 – 19 Feb 2027€3,300€2,970until 25 Jan
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CasablancaScheduled
22 – 26 Feb 2027€4,300€3,870until 1 Feb
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DohaScheduled
1 – 5 Mar 2027€4,400€3,960until 8 Feb
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BangkokScheduled
1 – 5 Mar 2027€6,100€5,490until 8 Feb
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DubaiScheduled
7 – 11 Mar 2027€4,400€3,960until 15 Feb
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GenevaScheduled
15 – 19 Mar 2027€6,300€5,670until 22 Feb
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HamburgScheduled
15 – 19 Mar 2027€5,800€5,220until 22 Feb
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Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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