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
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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

Service scope

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

+49 69 913 113-01 info@advisori.de LinkedIn
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.
ADVISORI expert opinion

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.

6 QUESTIONS, BRIEFLY ANSWERED

Frequently asked questions about Securing AI Systems

What is AI security and why does it matter?

AI security encompasses all measures to protect AI systems from targeted attacks, manipulation, and misuse. Unlike traditional IT security, AI systems face unique threats such as adversarial attacks, data poisoning, and model extraction. Since AI systems are deployed in critical areas like financial services, healthcare, and infrastructure, a successful attack can cause significant economic and societal harm.

What are the main risks of AI systems?

AI systems face specific risks: Adversarial attacks manipulate inputs to produce incorrect outputs. Data poisoning corrupts training data to permanently compromise the model. Model extraction steals the AI model through targeted queries. Model inversion accesses sensitive training data. Backdoor attacks hide malicious functionality within the model. Each risk requires specific countermeasures and a layered security approach.

How do you secure AI systems?

Securing AI systems requires a multi-layered approach: Adversarial training increases model robustness against manipulated inputs. Input validation filters suspicious requests. Differential privacy protects training data. Model monitoring tracks model behavior in production. Governance frameworks define responsibilities and processes. ADVISORI develops tailored AI security measures for your specific risk profile.

What does the EU AI Act require for AI security?

The EU AI Act requires providers of high-risk AI systems to implement comprehensive security measures: robustness testing against known attack vectors, continuous monitoring in production, documentation of security measures, risk management systems, and human oversight of critical decisions. ADVISORI supports EU AI Act-compliant securing of your AI systems.

What is the difference between AI security and traditional cybersecurity?

Traditional cybersecurity protects systems, networks, and data from unauthorized access. AI security addresses additional AI-specific threats: AI models can be fooled by minimal input changes invisible to humans. Training data can be subtly manipulated. Model behavior can shift due to data drift. AI security complements traditional cybersecurity with these specific dimensions.

What are common AI vulnerabilities in enterprise applications?

Common AI vulnerabilities in practice: insufficient validation of model inputs, lack of anomaly detection for model behavior, insecure API interfaces to the AI model, inadequate access control on training data, missing data versioning and integrity checks. ADVISORI conducts comprehensive AI security audits to systematically identify and remediate these vulnerabilities.