Governance, Risk, and Compliance Automation Training Course

Governance, Risk, and Compliance Automation Training Course

Introduction

The modern enterprise operates under a complex web of digital transformation, escalating cybersecurity threats, and ever-changing global regulatory frameworks. This environment necessitates a fundamental shift from manual, siloed compliance processes to an Integrated Risk Management (IRM) approach powered by technology. Our intensive GRC Automation training course is designed to equip professionals with the cutting-edge skills needed to implement and manage a Unified GRC program. Participants will master how to leverage AI-powered GRC tools and Hyperautomation to streamline Policy Management, enhance Continuous Monitoring, and proactively address Third-Party Risk (TPRM), driving both efficiency and Digital Resilience across the organization.

Governance, Risk, and Compliance Automation Training Course focuses on translating theoretical GRC knowledge into practical, SEO-friendly skills in GRC Technology Implementation. You will gain hands-on experience with industry-leading platforms like ServiceNow GRC and MetricStream, learning to deploy Automated Controls Testing, execute Real-time Reporting, and implement Regulatory Change Management. By integrating Data Governance with core GRC functions, you will transform your organization's compliance posture from a cost center into a strategic Competitive Advantage, ensuring Ethical AI practices and achieving superior Operational Efficiency in the face of dynamic market and regulatory pressures.

Course Duration

5 days

Course Objectives

1. Strategically Integrate GRC processes using a Unified GRC Framework to break down functional silos.
2. Master the deployment of GRC Automation Tools for process optimization.
3. Implement Continuous Control Monitoring (CCM) for real-time compliance assurance and alerts.
4. Leverage AI and Machine Learning for predictive Risk Identification and automated assessment.
5. Develop and automate robust workflows for effective Regulatory Change Management.
6. Design and execute Automated Controls Testing to increase audit efficiency and reliability.
7. Establish a comprehensive Third-Party Risk Management (TPRM) program using automation.
8. Ensure Data Governance and compliance with key regulations
9. Create Centralized GRC Dashboards for executive visibility and risk-informed decision-making.
10. Implement Hyperautomation techniques to streamline policy lifecycle and evidence collection.
11. Build organizational Digital Resilience by integrating GRC with business continuity planning.
12. Translate business strategy into a Risk Appetite Framework that guides automated controls.
13. Lead the adoption of Ethical AI Governance within the organization's automation strategy.

Target Audience

1. GRC Analysts and Managers
2. Internal Audit and Assurance Professionals
3. Risk Management Specialists
4. IT Security and Compliance Officers
5. Chief Risk Officers and Chief Compliance Officers
6. Business Process Owners responsible for controls
7. IT and GRC Platform Administrators
8. Consultants specializing in Enterprise GRC/Risk Transformation

Course Modules

Module 1: Foundational GRC and Automation Strategy

• Defining the shift from traditional GRC to Integrated Risk Management.
• Key components of the GRC stack.
• Mapping business objectives to a robust Risk Appetite Framework and GRC strategy.
• Introduction to GRC Automation drivers, benefits, and maturity models.
• Case Study: Transitioning a global financial services firm from siloed spreadsheets to a Unified GRC platform.

Module 2: GRC Technology and Platform Implementation

• Selecting the right GRC Automation platform for organizational needs.
• Deep dive into GRC data models and architectural design for centralized risk and control libraries.
• Implementing foundational modules.
• Configuring Automated Workflow for policy approval, exception management, and evidence gathering.
• Case Study: Launching the ServiceNow GRC module across a multi-national tech company for integrated controls.

Module 3: Automated Risk Management

• Designing and automating the Risk Identification and Assessment lifecycle.
• Leveraging AI/ML for Predictive Risk Analytics and identifying emerging threats.
• Implementing Risk Quantification and treatment workflows for consistent mitigation planning.
• Building a dynamic Risk Register that automatically links to controls and regulations.
• Case Study: Using AI to flag high-risk transactions in real-time, reducing financial fraud exposure in a banking environment.

Module 4: Continuous Monitoring and Control Automation

• Mastering Continuous Control Monitoring to move from point-in-time audits to real-time assurance.
• Developing and integrating automated control tests with existing IT systems.
• Setting up Real-time Alerts and Notifications for control failures and compliance breaches.
• Implementing corrective action and issue management workflows for automated closure tracking.
• Case Study: Automating the monitoring of user access controls to ensure least-privilege principles are continuously enforced

Module 5: Regulatory Change Management (RCM) Automation

• Understanding the RCM lifecycle.
• Utilizing RegTech tools to automatically ingest and analyze regulatory updates
• Automating the mapping of regulatory mandates to internal policies and controls.
• Designing workflows to automatically assign tasks and track compliance gap remediation.
• Case Study: Automating the response to the Digital Operational Resilience Act within a European bank using a centralized RCM module.

Module 6: Third-Party Risk Management (TPRM) Automation

• Structuring an efficient Automated TPRM program from onboarding to off-boarding.
• Implementing Automated Vendor Assessment processes
• Integrating vendor security ratings and continuous monitoring for real-time third-party risk insights.
• Automating contract and control mapping to ensure vendor compliance with internal policies.
• Case Study: Streamlining the annual review of 500+ vendors by automating initial scoring and evidence collection using a dedicated TPRM module.

Module 7: Data Governance and Ethical AI

• Integrating Data Governance into the GRC framework to manage data privacy and quality risks.
• Compliance automation for key data protection regulations.
• Establishing a framework for AI Governance to manage bias, explainability, and compliance in automated GRC tools.
• Using GRC platforms to manage and audit data retention and disposition policies.
• Case Study: Implementing automated data discovery and classification to ensure compliance with GDPR 'right to be forgotten' requests.

Module 8: GRC Reporting, Audit, and Digital Resilience

• Creating executive-level, risk-based GRC Dashboards for strategic decision support.
• Automating the generation of Audit-Ready Documentation and evidence collection.
• Integrating GRC with Business Continuity and disaster recovery planning for Digital Resilience.
• Metrics and Key Risk Indicators for measuring the value and ROI of GRC Automation.
• Case Study: Conducting a simulated audit where 90% of evidence was collected automatically, reducing audit duration by 40%.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

 Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

 Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.