Training course
Overview
Data
Security is a professional training course designed to provide participants
with comprehensive knowledge and practical skills for protecting organizational
data against unauthorized access, disclosure, alteration, loss, destruction,
and disruption. The course covers the complete data security lifecycle,
including data classification, access control, encryption, identity management,
secure data handling, monitoring, incident response, backup, recovery, and
security governance. Participants will develop a practical understanding of how
data security supports business continuity, regulatory compliance, operational
resilience, and organizational trust across modern information environments.
The
course examines data security across databases, applications, endpoints,
networks, cloud platforms, data warehouses, data lakes, analytics environments,
APIs, file systems, and mobile and remote-working environments. Participants
will explore practical security technologies and tools such as identity and
access management platforms, encryption mechanisms, password managers, security
information and event management systems, data loss prevention solutions,
vulnerability scanners, database security controls, cloud security services,
audit logging tools, and endpoint protection technologies. Practical exercises
and realistic scenarios enable participants to identify vulnerabilities, assess
exposure, implement controls, and respond appropriately to common data security
threats.
Strong
emphasis is placed on recognized security standards, frameworks, governance
practices, and regulatory principles. Participants will work with concepts from
ISO/IEC 27001, ISO/IEC 27002, the NIST Cybersecurity Framework, NIST data
security guidance, CIS Controls, COBIT, Zero Trust principles,
privacy-by-design practices, and data protection requirements. The course
addresses data classification, least privilege, defense in depth, encryption,
key management, secure configuration, vulnerability management, logging and
monitoring, third-party risk, data retention, privacy, business continuity, and
incident response while connecting technical controls to organizational
policies and risk management objectives.
By
the end of this 5-day Data Security training course, participants will be able
to assess data security risks, classify and protect sensitive information,
implement appropriate access and encryption controls, monitor security events,
manage vulnerabilities, respond to data security incidents, and strengthen
organizational security governance. Through hands-on exercises, security
assessments, case studies, incident simulations, control-design workshops, risk
scenarios, and a final practical capstone, participants will develop an
integrated approach to protecting data throughout its lifecycle and improving
the organization's overall security posture.
Course
Duration
5
Days (40 Hours)
Target
Participants
This
course is suitable for:
•
Information security professionals and cybersecurity practitioners
•
IT managers, administrators, and infrastructure professionals
•
Data engineers, database administrators, and data platform specialists
•
Data analysts and business intelligence professionals responsible for sensitive
information
•
Cloud engineers and cloud platform administrators
•
Risk, compliance, audit, and governance professionals
•
Privacy and data protection professionals
•
Application and software development professionals
•
System administrators and technical support personnel
•
Managers and professionals responsible for protecting organizational data and
information assets
Course
Objectives
By
the end of the training, participants will be able to:
•
Explain fundamental principles, objectives, and practices of data security
•
Identify data security threats, vulnerabilities, attack surfaces, and risk
factors
•
Classify organizational data according to sensitivity, business value, and
protection requirements
•
Implement appropriate access control, authentication, authorization, and
least-privilege practices
•
Apply encryption, hashing, tokenization, masking, and key-management techniques
•
Protect data across databases, applications, networks, endpoints, cloud
platforms, and analytical environments
•
Apply ISO/IEC 27001, ISO/IEC 27002, NIST Cybersecurity Framework, CIS Controls,
COBIT, and Zero Trust concepts appropriately
•
Implement practical data loss prevention, monitoring, logging, and security
detection controls
•
Assess vulnerabilities and manage data security risks across organizational
environments
•
Develop effective data security incident response, containment, recovery, and
lessons-learned processes
•
Strengthen backup, recovery, resilience, retention, and secure data disposal
practices
•
Assess third-party, cloud, and supply-chain data security risks
•
Develop practical data security policies, procedures, controls, and improvement
plans
•
Conduct an integrated data security assessment and develop a practical security
improvement roadmap
Course
Content
Day
1: Data Security Foundations, Threats, Risk, and Data Classification
Module:
Data Security Fundamentals, Risk Assessment, and Information Protection
Topics
- Introduction
to Data Security and Information Protection
- Definition
and objectives of data security
- Confidentiality,
integrity, and availability
- Data security
versus cybersecurity and information security
- Data security
lifecycle
- Case study:
business impact of a major data exposure
- Data Security
Threat Landscape
- Malware,
ransomware, phishing, and social engineering
- Insider
threats and accidental disclosure
- Credential
compromise and unauthorized access
- Data theft,
manipulation, and destruction
- Real-world
scenario: identifying threats to critical business data
- Data Assets
and Security Attack Surfaces
- Databases,
files, applications, endpoints, and cloud systems
- APIs and data
integration platforms
- Data
warehouses, lakes, and analytics environments
- Removable
media and mobile devices
- Exercise:
mapping organizational data attack surfaces
- Data Security
Risk Management
- Threat,
vulnerability, likelihood, and impact
- Risk
identification and analysis
- Risk
registers and treatment strategies
- Inherent and
residual risk
- Practical
exercise: developing a data security risk register
- Data
Classification and Handling
- Public,
internal, confidential, and restricted data
- Business-value
and sensitivity considerations
- Classification
ownership and responsibilities
- Handling and
labeling requirements
- Workshop:
creating a practical data classification scheme
- Data
Lifecycle Security
- Data creation
and collection
- Storage and
processing
- Transmission
and sharing
- Archiving and
retention
- Secure
destruction and disposal
- Data Security
Policies and Standards
- Data security
policies
- Acceptable-use
and data-handling standards
- Access-control
policies
- Encryption
and retention policies
- Exercise:
reviewing and improving a data security policy
- Security
Frameworks and Control Principles
- NIST
Cybersecurity Framework concepts
- ISO/IEC 27001
information security management principles
- ISO/IEC 27002
security controls
- CIS Controls
- COBIT
governance and control concepts
- Defense in
Depth and Zero Trust Principles
- Layered
security controls
- Preventive,
detective, and corrective controls
- Zero Trust
principles
- Continuous
verification
- Scenario
exercise: designing layered protection for sensitive data
- Data Security
Baseline Assessment
- Data asset
inventory
- Classification
review
- Threat and
vulnerability identification
- Existing
control assessment
- Practical
workshop: completing an initial data security assessment
Day
2: Identity, Access Control, Encryption, and Secure Data Handling
Module:
Practical Data Protection Controls and Secure Access Management
Topics
- Identity and
Access Management for Data Security
- Identity
lifecycle
- Authentication
and authorization
- User,
service, and machine identities
- Centralized
identity management
- Practical
exercise: mapping identities to data resources
- Authentication
and Multi-Factor Security
- Password
security
- Multi-factor
authentication
- Single
sign-on
- Adaptive and
risk-based authentication
- Case study:
reducing account compromise through stronger authentication
- Authorization
and Least-Privilege Access
- Role-based
access control
- Attribute-based
access control
- Least
privilege
- Privileged
access management
- Lab exercise:
designing access roles for sensitive datasets
- Database
Security and Access Controls
- Database
accounts and privileges
- Views and
controlled access
- Row-level and
column-level security
- Database
auditing
- Practical
exercise: designing secure database access
- Encryption
Fundamentals
- Encryption
concepts
- Symmetric and
asymmetric encryption
- Encryption at
rest and in transit
- Digital
certificates and secure protocols
- Lab:
evaluating encryption requirements
- Cryptographic
Keys and Key Management
- Key
generation and storage
- Key rotation
- Key access
controls
- Hardware
security modules and key-management services
- Scenario
exercise: developing a key-management strategy
- Hashing,
Tokenization, Masking, and Anonymization
- Hashing and
integrity verification
- Tokenization
- Data masking
- Anonymization
and pseudonymization
- Case study:
protecting sensitive customer information
- Secure Data
Transmission and File Sharing
- Secure
file-transfer methods
- TLS and
encrypted communication
- Secure APIs
- Data-sharing
controls
- Practical
exercise: assessing secure versus insecure data-transfer methods
- Data Loss
Prevention and Information Protection
- Data loss
prevention concepts
- Sensitive-data
discovery
- Policy-based
controls
- Monitoring
data movement
- Exercise:
designing a DLP control for confidential information
- Secure Data
Handling Simulation
- Data access
request
- Classification
and authorization
- Encryption
and secure transfer
- Logging and
accountability
- Simulation:
securely processing and sharing sensitive business data
Day
3: Database, Cloud, Application, Endpoint, and Network Data Security
Module:
Securing Data Across Modern Technology Environments
Topics
- Database
Security Architecture
- Database
security layers
- Database
authentication and authorization
- Auditing and
activity monitoring
- Secure
configuration
- Case study:
responding to database security weaknesses
- Cloud Data
Security
- Cloud shared
responsibility model
- Cloud
identity and access management
- Storage
security
- Cloud
encryption and key management
- Practical
exercise: assessing a cloud data security architecture
- Data Security
in Data Warehouses, Lakes, and Lakehouses
- Analytical
data security
- Fine-grained
access control
- Sensitive-data
handling
- Data lineage
and governance
- Scenario
exercise: protecting an enterprise analytics platform
- Application
and API Data Security
- Secure
application data handling
- API
authentication and authorization
- Input
validation
- Secrets
management
- Practical
exercise: identifying application-level data security risks
- Endpoint and
Device Data Security
- Workstations
and mobile devices
- Endpoint
encryption
- Device access
controls
- Secure
configuration
- Case study:
responding to a lost corporate device
- Network
Security for Data Protection
- Network
segmentation
- Firewalls and
security groups
- Secure remote
access
- Network
monitoring
- Exercise:
designing a protected data network zone
- Vulnerability
Management and Security Hardening
- Vulnerability
identification
- Patch
management
- Secure
configuration baselines
- Vulnerability
scanning tools
- Lab:
developing a vulnerability remediation plan
- Security
Monitoring, Logging, and Detection
- Security
event logging
- Centralized
log management
- SIEM concepts
- Alerts and
detection rules
- Practical
exercise: analyzing data security events
- Data Security
Architecture and Control Mapping
- Security
control layers
- Preventive,
detective, and corrective controls
- Mapping
controls to business risks
- Framework
alignment
- Workshop:
developing a data security control matrix
- Integrated
Technology Security Case Study
- Database,
cloud, application, endpoint, and network controls
- Threat and
vulnerability assessment
- Control-gap
identification
- Risk
treatment
- Case study:
securing an integrated enterprise data environment
Day
4: Monitoring, Incident Response, Privacy, Resilience, and Third-Party Risk
Module:
Data Security Operations, Incident Management, and Organizational Resilience
Topics
- Data Security
Monitoring and Security Operations
- Continuous
security monitoring
- Security
dashboards
- Alerts and
event correlation
- Security
operations workflows
- Practical
exercise: creating a data security monitoring plan
- Data Security
Incident Identification and Classification
- Security
event versus security incident
- Data breach
identification
- Incident
severity classification
- Initial
triage and escalation
- Scenario
exercise: classifying a suspected data breach
- Data Security
Incident Response
- Preparation
- Detection and
analysis
- Containment
- Eradication
and recovery
- NIST-aligned
incident response concepts
- Data Breach
Investigation and Forensic Considerations
- Evidence
preservation
- Audit logs
- Access
records
- Timeline
reconstruction
- Practical
exercise: analyzing a simulated data breach
- Data Recovery
and Business Continuity
- Backup
strategies
- Recovery
objectives
- Disaster
recovery
- High
availability
- Case study:
recovering critical data following ransomware
- Data
Retention and Secure Disposal
- Retention
schedules
- Legal and
business requirements
- Secure
deletion
- Media
sanitization
- Exercise:
designing a secure data disposal process
- Privacy and
Data Protection Controls
- Privacy
principles
- Data
minimization
- Purpose
limitation
- Consent and
lawful processing concepts
- Privacy-by-design
practices
- Third-Party
and Supply-Chain Data Security
- Vendor
security assessment
- Data-processing
relationships
- Contractual
security requirements
- Supplier
access controls
- Scenario
exercise: evaluating a third-party data-sharing arrangement
- Cloud and
Remote-Work Data Security
- Remote access
risks
- Cloud
collaboration platforms
- Secure file
sharing
- Mobile and
home-office security
- Case study:
securing distributed work environments
- Data Security
Incident Simulation
- Simulated
ransomware or data-exposure event
- Detection and
triage
- Containment
and communication
- Recovery and
control improvement
- Post-incident
review and lessons learned
Day
5: Advanced Data Security Governance, Zero Trust, Risk Strategy, and Capstone
Module:
Advanced Data Security Architecture, Governance, and Strategic Protection
Topics
- Advanced Data
Security Architecture
- Enterprise
security architecture
- Defense in
depth
- Zero Trust
architecture
- Security
zones and trust boundaries
- Architecture
review exercise
- Advanced Data
Access Governance
- Fine-grained
authorization
- Privileged
access management
- Access
certification
- Segregation
of duties
- Practical
exercise: developing an advanced access-governance model
- Data Security
for Analytics, AI, and Machine Learning
- Sensitive
data in analytical workloads
- Model and
training-data security
- Data leakage
risks
- Access and
governance for AI environments
- Case study:
securing an AI-enabled analytics platform
- Advanced Data
Loss Prevention and Insider Risk Controls
- Sensitive-data
discovery
- Behavioral
monitoring
- Insider-risk
indicators
- DLP policy
optimization
- Scenario
exercise: investigating suspected insider data misuse
- Security
Automation and Continuous Control Monitoring
- Security
automation principles
- Automated
compliance checks
- Security
orchestration concepts
- Continuous
control monitoring
- Practical
exercise: designing an automated security-control workflow
- Advanced
Vulnerability, Threat, and Risk Management
- Threat
intelligence
- Risk-based
vulnerability prioritization
- Attack-path
analysis
- Control
effectiveness
- Workshop:
developing an advanced data-security risk treatment plan
- Data Security
Metrics, KPIs, and Security Reporting
- Security
performance indicators
- Incident and
vulnerability metrics
- Access-control
metrics
- Data
protection and compliance indicators
- Exercise:
designing a data security dashboard
- Data Security
Governance and Continuous Improvement
- Governance
structures
- Policy
lifecycle
- Control
assurance
- Internal
audits and assessments
- ISO/IEC
27001-aligned continual improvement concepts
- Practical
Data Security Capstone Assessment
- Enterprise
data inventory and classification
- Threat,
vulnerability, and risk assessment
- Access,
encryption, monitoring, and governance controls
- Incident
response and resilience requirements
- Capstone
exercise: developing an integrated data security architecture and control
plan
- Capstone
Presentation, Security Roadmap, and Final Action Plan
- Presentation
of the data security assessment
- Control-gap
analysis
- Prioritized
remediation initiatives
- Short-,
medium-, and long-term security roadmap
- Final
practical action plan for strengthening organizational data security