15 Topics
10 Days
Programme Overview
Training Description
Who Should Attend
- Senior Internal and External Auditors
- IT Audit Managers and Specialists
- Financial Control Professionals
- Cybersecurity Auditors
- Forensic Accountants and Investigators
- Risk Management Professionals
- Compliance Officers
- Chief Audit Executives (CAEs)
- Data Analytics Professionals in Audit
- Professionals preparing for advanced cybersecurity audit certifications (e.g., CISA, CEH, CRSC)
Session Objectives
- Understand Banking-Specific Cyber Risks and the current threat landscape.
- Apply relevant Cybersecurity Frameworks and Compliance Standards (e.g., FFIEC, NIST, GDPR) specific to banking.
- Develop skills to plan and conduct Comprehensive Cybersecurity Audits for financial transactions.
- Identify, evaluate, and establish Risk Mitigation Strategies and Incident Response Plans.
- Evaluate the effectiveness of Security Controls and Governance Structures protecting digital assets.
- Acquire practical experience using Audit Tools and techniques relevant to banking systems.
- Ensure adherence to Regulatory Compliance and master audit Reporting and Documentation standards.
About the Course
This advanced training equips professionals with specialized knowledge and skills to effectively audit cybersecurity processes, controls, and policies within the unique context of financial institutions and their transactional systems. It delves into the complexities of banking-specific cyber threats, required regulatory compliance (like GDPR, PCI DSS, GLBA), and the application of global security frameworks (NIST, ISO 27001) to safeguard sensitive financial data. The course focuses on practical, hands-on techniques for conducting thorough risk assessments, evaluating security controls, and developing robust recommendations to enhance an organization's overall cyber resilience and maintain customer trust against sophisticated cyber-attacks.
General Notes
- This course will be delivered by our experts and professionals in data analysis with vast experience. The workshop will be highly interactive
- Training manuals and additional reference materials are provided to the participants.
- Upon successful completion of this course, participants will be issued with a certificate.
- The training will be conducted by PB Institute of Research and Technology
- The training fee covers tuition fees, training materials, lunch and training venue. Accommodation and airport transfer are arranged for our participants upon request.
- Payment should be sent to our bank account before the start of training and proof of payment sent to: info@pbirt.co.ke
Curriculum & Topics
15 Topics | 10 Days
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Subtopic 1.1:
Evolution of cyberattacks targeting financial transactions (e.g., APTs, sophisticated ransomware).
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Subtopic 1.2:
Emerging fraud patterns: synthetic identities, AI-driven fraud, deepfakes.
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Subtopic 1.3:
Understanding advanced persistent threats (APTs) in financial environments.
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Subtopic 1.4:
Insider threats: complex collusion and data exfiltration.
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Subtopic 1.5:
The convergence of cyber and financial crime: money laundering and cryptocurrency.
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Subtopic 2.1:
Statistical methods for anomaly detection: multivariate analysis, regression analysis.
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Subtopic 2.2:
Machine Learning (ML) techniques: supervised vs. unsupervised learning for fraud detection.
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Subtopic 2.3:
Deep Learning applications: neural networks, autoencoders for complex pattern recognition.
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Subtopic 2.4:
Deep Learning applications: neural networks, autoencoders for complex pattern recognition.
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Subtopic 2.5:
Implementing real-time anomaly detection systems and alerting mechanisms.
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Subtopic 3.1:
Comprehensive vulnerability assessment methodologies for financial applications.
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Subtopic 3.2:
Penetration testing insights for financial systems (web, mobile, API).
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Subtopic 3.3:
Secure configuration auditing for databases, ERP systems, and payment gateways.
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Subtopic 3.4:
Cloud security posture management (CSPM) for financial cloud deployments.
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Subtopic 3.5:
Reviewing security architecture diagrams for weaknesses and control bypasses.
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Subtopic 4.1:
Advanced data extraction, transformation, and loading (ETL) techniques for large financial datasets.
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Subtopic 4.2:
Utilizing specialized audit analytics software (e.g., ACL, IDEA, Python/R libraries).
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Subtopic 4.3:
Data visualization for identifying patterns, outliers, and relationships.
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Subtopic 4.4:
Digital forensic techniques for investigating financial data breaches.
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Subtopic 4.5:
Digital forensic techniques for investigating financial data breaches.
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Subtopic 5.1:
In-depth analysis of NIST Cybersecurity Framework (CSF) for financial institutions.
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Subtopic 5.2:
ISO 27001/27002 for Information Security Management Systems (ISMS) in finance.
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Subtopic 5.3:
FFIEC IT Handbook and other financial industry-specific guidelines.
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Subtopic 5.4:
PCI DSS compliance auditing for payment card data environments.
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Subtopic 5.5:
Mapping regulatory requirements to audit objectives and procedures.
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Subtopic 6.1:
Shared responsibility model in cloud environments for financial data.
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Subtopic 6.2:
Auditing cloud access controls, identity management, and network segmentation.
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Subtopic 6.3:
Assessing data encryption, key management, and data residency in the cloud.
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Subtopic 6.4:
Reviewing cloud security configurations and adherence to best practices.
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Subtopic 6.5:
Third-party cloud service provider (CSP) audit reports (e.g., SOC 2 Type 2).
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Subtopic 7.1:
Principles and benefits of continuous auditing (CA) for real-time assurance.
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Subtopic 7.2:
Designing automated audit tests and rules for financial transactions.
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Subtopic 7.3:
Implementing continuous monitoring of key financial controls and indicators.
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Subtopic 7.4:
Leveraging Robotic Process Automation (RPA) for audit tasks.
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Subtopic 7.5:
Integrating CA into risk management and compliance programs.
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Subtopic 8.1:
Understanding distributed ledger technology (DLT) and its use in finance.
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Subtopic 8.2:
Auditing blockchain transactions for immutability, transparency, and integrity.
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Subtopic 8.3:
Tracing funds on public and private blockchains.
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Subtopic 8.4:
Smart contract auditing for financial automation and contract execution.
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Subtopic 8.5:
Cybersecurity risks inherent in blockchain platforms for financial services.
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Subtopic 9.1:
Understanding penetration testing methodologies and their relevance to audit.
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Subtopic 9.2:
Interpreting penetration test reports and vulnerability scans.
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Subtopic 9.3:
Red team/blue team exercises and their value for auditors.
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Subtopic 9.4:
Prioritizing audit findings based on exploitability and business impact.
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Subtopic 9.5:
Collaborating with ethical hackers to enhance audit scope.
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Subtopic 10.1:
Advanced assessment of vendor cybersecurity posture and controls.
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Subtopic 10.2:
Auditing third-party access to financial systems and data.
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Subtopic 10.3:
Reviewing vendor contracts for robust cybersecurity clauses and SLAs.
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Subtopic 10.4:
Monitoring supply chain software integrity and potential vulnerabilities.
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Subtopic 10.5:
Incident response coordination with third parties during a financial breach.
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Subtopic 11.1:
Deep dive into specific regulatory requirements for financial sector cybersecurity.
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Subtopic 11.2:
Auditing for compliance with anti-money laundering (AML) and KYC regulations in a cyber context.
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Subtopic 11.3:
Data residency, cross-border data transfer, and compliance considerations.
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Subtopic 11.4:
Preparing for regulatory examinations and communicating audit findings to regulators.
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Subtopic 11.5:
Evolving regulatory landscape and future compliance challenges.
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Subtopic 12.1:
Methodologies for quantifying potential financial losses from cyber incidents.
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Subtopic 12.2:
Risk aggregation and modeling for enterprise-wide financial cyber risk.
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Subtopic 12.3:
Developing executive-level dashboards and reports on cyber risk.
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Subtopic 12.4:
Communicating complex technical risks to non-technical financial stakeholders.
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Subtopic 12.5:
Aligning cybersecurity audit findings with business objectives and strategic risks.
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Subtopic 13.1:
Auditing the effectiveness of the organization's incident response plan for financial breaches.
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Subtopic 13.2:
Reviewing post-incident reports and lessons learned.
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Subtopic 13.3:
Assessing the completeness and accuracy of breach notifications.
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Subtopic 13.4:
Validating recovery efforts and data integrity after a cyberattack.
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Subtopic 13.5:
Forensic readiness auditing for financial systems.
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Subtopic 14.1:
AI/ML in audit automation and predictive analytics.
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Subtopic 14.2:
Quantum computing's potential impact on cryptography and financial security.
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Subtopic 14.3:
Internet of Things (IoT) and Operational Technology (OT) risks in financial infrastructure.
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Subtopic 14.4:
Real-time payment systems and their unique cybersecurity challenges.
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Subtopic 14.5:
The evolving role of the auditor in the age of continuous digital transformation.
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Subtopic 15.1:
Case studies: in-depth analysis of major financial cyber incidents and audit responses.
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Subtopic 15.2:
Group exercise: designing an advanced cybersecurity audit plan for a complex financial scenario.
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Subtopic 15.3:
Practical lab: hands-on experience with anomaly detection tools using sample financial data.
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Subtopic 15.4:
Developing actionable recommendations based on simulated audit findings.
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Subtopic 15.5:
Peer review and presentation of audit insights and strategic recommendations.
