Comprehensive technical and organizational measures for GDPR-compliant data security under Article 32

GDPR Technical & Organizational Measures (TOMs) Under Article 32

Article 32 GDPR requires organizations to implement appropriate technical and organizational measures (TOMs) to protect personal data. We design and implement tailored TOM frameworks covering encryption, pseudonymization, and access control for demonstrable GDPR compliance.

  • GDPR-compliant implementation of all required security measures
  • Minimization of data breaches and cyber risks
  • Demonstrable compliance for supervisory authorities and audits
  • Strengthening trust of customers and business partners

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Our clients trust our expertise in digital transformation, compliance, and risk management

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  • Your strategic goals and objectives
  • Desired business outcomes and ROI
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What Are Technical and Organizational Measures Under GDPR?

Our TOMs Expertise

  • Interdisciplinary team of IT security experts and data protection specialists
  • Industry-specific TOMs frameworks and best practices
  • Integration of advanced technologies and security standards
  • Continuous monitoring and optimization of measures

Important Note

TOMs must correspond to the state of the art and be regularly reviewed. Appropriateness must be assessed based on the risk, nature, scope, and purposes of processing.

ADVISORI in Numbers

11+

Years of Experience

120+

Employees

520+

Projects

We pursue a risk-based and practice-oriented approach that combines technical innovation with organizational excellence.

Our Approach:

Comprehensive risk assessment and threat analysis

Development of customized TOMs architectures

Phased implementation with continuous validation

Integration into existing IT and security landscape

Continuous monitoring and adaptive optimization

Sarah Richter

Sarah Richter

Head of Information Security, Cyber Security

Expertise & Experience:

10+ years of experience, CISA, CISM, Lead Auditor, DORA, NIS2, BCM, Cyber and Information Security

Our Services

We offer you tailored solutions for your digital transformation

Technical Measures

Implementation of modern technical security measures to protect personal data.

  • End-to-end encryption and cryptography management
  • Pseudonymization and anonymization procedures
  • Access and authorization control systems
  • Backup and disaster recovery systems

Organizational Measures

Development and implementation of solid organizational processes and controls.

  • Data protection governance and role concepts
  • Training and awareness programs
  • Incident response and breach management
  • Continuous monitoring and audit processes

Our Competencies

Choose the area that fits your requirements

GDPR Data Protection Impact Assessment (DPIA)

Article 35 GDPR requires organisations to carry out a Data Protection Impact Assessment (DPIA) before any processing that is likely to result in a high risk to individuals. Whether systematic profiling, large-scale monitoring or new technologies such as AI systems — a threshold analysis determines if a DPIA is mandatory. ADVISORI supports you through every step from screening to documentation.

Frequently Asked Questions about GDPR Technical & Organizational Measures (TOMs)

What are technical and organizational measures (TOMs) under GDPR?

TOMs under Article

32 GDPR are security measures to protect personal data. Technical measures include encryption, firewalls, and access controls. Organizational measures cover policies, staff training, defined responsibilities, and processes to ensure ongoing data security.

What specific TOMs does Article 32 GDPR require?

Article

32 specifies pseudonymization and encryption, the ability to ensure confidentiality, integrity, availability, and resilience of processing systems, the ability to restore access to data promptly after an incident, and a process for regularly testing and evaluating the effectiveness of measures.

How should TOMs be documented under GDPR?

TOMs must be documented in writing and regularly updated. Documentation includes a description of each measure, mapping to protection objectives, responsibilities, implementation status, review intervals, and evidence of effectiveness. It forms part of the records of processing activities.

What are examples of technical measures under GDPR?

Technical measures include data and communication encryption, physical access control to server rooms, logical access control through password policies and MFA, role-based authorization concepts, logging, automatic security updates, and backup systems.

What are examples of organizational measures under GDPR?

Organizational measures include data protection policies, staff training programs, confidentiality agreements, four-eyes principle, clean desk policies, emergency plans, regular audits, and documented processes for data subject rights and breach notifications.

How do you assess the appropriateness of TOMs?

Appropriateness is assessed based on the state of the art, implementation costs, the nature and scope of processing, and the likelihood and severity of risks to individuals. A risk-based approach requires stronger measures for more sensitive data and higher risks.

How often must TOMs be reviewed?

Article

32 requires regular review and evaluation of effectiveness. Best practice includes annual TOM audits plus event-driven reviews after security incidents, system changes, or new processing activities. All results must be documented.

Success Stories

Discover how we support companies in their digital transformation

Digitalization in Steel Trading

Steel trading company from Germany

Digital Transformation in Steel Trading

Case Study

Results

Over 2 billion euros in annual revenue through digital channels
More than half of revenue through online channels as a strategic goal
Improved customer satisfaction through automated processes

AI-Powered Manufacturing Optimization

Industrial group from Germany

Smart Manufacturing Solutions for Maximum Value Creation

Case Study

Results

Significant increase in production performance
Reduction of downtime and production costs
Improved sustainability through more efficient resource utilization

AI Automation in Production

Automation specialist from Germany

Intelligent Networking for Future-Proof Production Systems

Case Study

Results

Improved production speed and flexibility
Reduced manufacturing costs through more efficient resource utilization
Increased customer satisfaction through personalized products

Generative AI in Manufacturing

Technology group from Germany

AI Process Optimization for Improved Production Efficiency

Case Study

Results

Reduction of AI application implementation time to just a few weeks
Improvement in product quality through early defect detection
Increased manufacturing efficiency through reduced downtime

Let's

Work Together!

Is your organization ready for the next step into the digital future? Contact us for a personal consultation.

Your strategic success starts here

Our clients trust our expertise in digital transformation, compliance, and risk management

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