Privacy & Security by Design Implementation

A practical program to implement Privacy & Security by Design principles in your AI systems. From technical security and data protection to secure development practices and Privacy Impact Assessments.

Phased approach
IT, Security & Data teams
GDPR & NIS2 compliant

What is Privacy & Security by Design?

Privacy & Security by Design means that privacy and security are built into your AI systems from the first phase, not as an afterthought. This program helps IT, Security and Data teams build safe, compliant AI systems that meet GDPR, NIS2 and EU AI Act requirements.

Security

AI-specific security

Privacy

Built-in data protection

Compliance

GDPR & NIS2 compliant

Development

Secure AI practices

Who is this program for?

This program is specifically developed for IT, Security and Data teams who are responsible for the technical implementation and security of AI systems. You recognize yourself in one or more of these situations:

You implement AI systems and want to do this safely and compliantly
You must comply with GDPR, NIS2 and the EU AI Act
You want to understand and mitigate AI-specific security risks
You need to be able to conduct Privacy Impact Assessments (PIAs)
You seek practical guidance for secure AI development
You want to set up a robust security framework for AI

The Privacy & Security Implementation Program

1

Foundation & Security Assessment

We start with a security assessment of your AI landscape and lay the foundation for Privacy & Security by Design principles.

AI Security Assessment

  • • Inventory of AI systems and data flows
  • • Identification of AI-specific security risks
  • • Evaluation of current security measures
  • • Gap analysis against best practices

Privacy by Design Fundamentals

  • • Privacy by Design principles for AI
  • • GDPR requirements for AI systems
  • • Data minimization strategies
  • • Privacy-enhancing technologies (PETs)
2

Technical Security Implementation

Implementation of technical security measures and AI-specific security controls such as prompt injection prevention and model security.

AI Security Fundamentals

  • • Prompt injection & jailbreaking prevention
  • • Data leakage prevention
  • • Model poisoning detection
  • • Adversarial attack mitigation

Infrastructure Security

  • • Encryption at rest and in transit
  • • Access control and authentication
  • • Secure model deployment
  • • Monitoring and logging setup
3

Privacy & Compliance Framework

Setting up privacy procedures, Privacy Impact Assessments and compliance with GDPR, NIS2 and EU AI Act requirements.

Privacy Impact Assessments

  • • PIA methodology for AI systems
  • • Privacy risk assessment
  • • Data protection measures
  • • Documentation and reporting

Compliance Framework

  • • GDPR compliance for AI
  • • NIS2 security requirements
  • • EU AI Act technical documentation
  • • Audit trails and logging
4

Secure Development & Operations

Implementation of secure AI development practices, MLOps security and continuous monitoring for production AI systems.

Secure Development Practices

  • • Secure coding guidelines for AI
  • • Model security testing
  • • Vendor evaluation framework
  • • Third-party risk assessment

Security Operations

  • • Security monitoring and alerting
  • • Incident response procedures
  • • Security updates and patching
  • • Continuous compliance verification

What You Get

Technical Expertise

  • In-depth knowledge of AI security
  • Privacy by Design implementation skills
  • Hands-on workshops and practical cases
  • Security testing methodologies

Frameworks & Documentation

  • Complete security framework for AI
  • PIA templates and procedures
  • Compliance checklists and guidelines
  • Incident response playbooks

Our Approach: Practical & Hands-on

Technical Deep-dives

No superficial theory, but technical deep-dives where we work hands-on together on your AI systems and security challenges.

Best Practices

We share practical best practices and lessons learned from diverse sectors, so you can learn from others' mistakes.

Directly Applicable

All frameworks, templates and procedures are directly applicable in your organization and AI development processes.

Why invest in Privacy & Security by Design?

Risks of insecure AI

  • • Data breaches and privacy violations
  • • Non-compliance with GDPR and NIS2 (fines up to €20M)
  • • Prompt injection and model manipulation
  • • Reputation damage from AI incidents
  • • Unsafe AI systems in production
  • • Legal liability

Benefits of secure AI

  • • Safe, compliant AI systems
  • • Full GDPR & NIS2 compliance
  • • Proactive security and risk management
  • • Trust from customers and stakeholders
  • • Protection against AI-specific attacks
  • • Future-proof AI architecture

Results we achieve together

Safe AI Systems

Robust security measures that effectively mitigate AI-specific risks and protect data

Full Compliance

GDPR, NIS2 and EU AI Act compliant with clear documentation and audit trails

Secure Development

Teams that can build safe AI systems according to best practices and security frameworks

Ready to build safe, compliant AI systems?

Schedule a no-obligation conversation to discuss how we can help your teams with Privacy & Security by Design implementation for AI systems.