Comprehensive Security for Artificial Intelligence Systems

AI Security: Protecting Your AI Systems

Protect your AI systems with tailored security measures.

  • 01Comprehensive AI infrastructure security assessment
  • 02Model security and adversarial attack prevention
  • 03Training data protection and privacy controls
  • 04AI security compliance and governance framework
11+Years of experience
120+Employees
540+Projects
ISO 27001certified

AI Security & Securing AI Systems

Securing AI systems requires specialized approaches beyond traditional cybersecurity. AI risks like adversarial attacks, data poisoning, and model extraction threaten your AI infrastructure and business models. ADVISORI combines technical security measures with robust governance frameworks — for sustainable AI security compliant with the EU AI Act and GDPR.

We offer you a comprehensive range of services for securing your AI systems, from threat analysis and implementation of defense mechanisms to continuous monitoring and governance.

2 service modules

What we take on for you

Bookable individually or as an end-to-end programme.

01

AI Threat Assessment & Adversarial Defense

Comprehensive assessment of AI-specific threats and implementation of solid defense mechanisms against adversarial attacks.

  • Comprehensive AI vulnerability assessment and threat modeling
  • Adversarial attack simulation and solidness testing
  • Implementation of adversarial training and defense mechanisms
  • Model integrity monitoring and anomaly detection
02

Privacy-Preserving AI & AI Governance

GDPR-compliant implementation of privacy-preserving AI technologies and establishment of solid AI governance frameworks.

  • Differential privacy and federated learning implementation
  • GDPR-compliant AI data processing and storage
  • AI governance frameworks with audit trails and compliance monitoring
  • AI ethics integration and responsible AI practices

5 phases

Our Approach

Together with you, we develop a comprehensive AI security strategy tailored to your specific AI systems and threat landscape.

  1. Comprehensive assessment of your AI infrastructure and threat landscape

  2. Design and implementation of AI-specific security measures

  3. Integration of privacy-preserving technologies and GDPR compliance

  4. Establishment of AI governance frameworks and monitoring systems

  5. Continuous monitoring, testing, and optimization of security measures

Asan Stefanski

Your contact

Asan Stefanski

Head of Digital Transformation

11+ years of experience, Applied Computer Science degree, Strategic planning and management of AI projects, Cyber Security, Secure Software Development, AI

Securing AI systems requires a deep understanding of both AI technologies and modern cyber threats. Our approach combines advanced security technologies with solid governance frameworks to provide our clients not only protection against current threats but also resilience against future AI-specific attack vectors.

Our Strengths

  • 01Specialized expertise in AI security and adversarial machine learning
  • 02GDPR-first approach with privacy-preserving AI technologies
  • 03Comprehensive AI governance and enterprise security integration
  • 04Continuous threat intelligence and proactive defense strategies

Expert Tip

AI security is more than just data protection. Modern AI systems are vulnerable to specific attacks such as adversarial examples and model inversion. A comprehensive AI security strategy must consider these unique threats from the outset.

Certificates, partners and more

ISO 9001 CertifiedISO 27001 CertifiedISO 14001 CertifiedBeyondTrust PartnerBVMW Bundesverband MitgliedMitigant PartnerGoogle PartnerTop 100 InnovatorMicrosoft AzureAmazon Web Services

Your strategic success starts here

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

Ready for the next step?

Schedule a strategic consultation with our experts now

30 Minutes • Non-binding • Immediately available

For optimal preparation of your strategy session:

Your strategic goals and challenges
Desired business outcomes and ROI expectations
Current compliance and risk situation
Stakeholders and decision-makers in the project

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