Proactive AI risk minimization for secure AI adoption

AI Risks & Dangers for Enterprises

AI carries significant risks for organisations: from adversarial attacks and data poisoning to AI hallucinations, data protection violations, and EU AI Act penalties up to §35 million.

  • 01Comprehensive AI risk analysis and threat modeling
  • 02Protection against adversarial attacks and model poisoning
  • 03GDPR-compliant AI security and data protection measures
  • 04Proactive governance for secure AI systems
11+Years of experience
120+Employees
540+Projects
ISO 27001certified

Understanding, Assessing, and Minimising AI Risks

The rapid advancement of artificial intelligence creates new attack surfaces and risks for enterprises. AI dangers are varied: adversarial attacks manipulate AI models through crafted inputs, data poisoning corrupts training data, AI hallucinations generate false information with high confidence, and the EU AI Act threatens fines up to §35 million for prohibited AI practices.

For financial institutions, insurers, and public-sector organisations these risks are especially critical, as flawed AI decisions can trigger regulatory consequences. ADVISORI helps you systematically identify, assess, and minimise AI dangers — from EU AI Act risk classification through security testing to continuous operational monitoring.

We offer you a complete spectrum of services for the identification, assessment, and minimization of AI risks — from initial risk analysis and implementation of protective measures through to continuous monitoring.

6 service modules

Service scope

01

AI Risk Analysis and Threat Assessment

Systematic identification and assessment of all potential threats to your AI systems.

  • Comprehensive threat modeling for AI systems
  • Analysis of attack vectors and vulnerabilities
  • Risk assessment and prioritization of protective measures
  • Development of specific security requirements
02

Adversarial Attack Prevention

Protection against targeted attacks on AI models through solid security architectures.

  • Implementation of adversarially solid models
  • Input validation and anomaly detection
  • Defensive distillation and model hardening
  • Continuous solidness testing
03

Data Poisoning Protection

Securing data integrity and protecting against manipulated training data.

  • Data validation and integrity checks
  • Anomaly detection in training data
  • Secure data sources and provenance tracking
  • Solid training techniques
04

AI Privacy and GDPR Compliance

Ensuring data protection and GDPR compliance in AI systems.

  • Privacy-by-design for AI architectures
  • Differential privacy implementation
  • Federated learning for data protection
  • GDPR-compliant data processing
05

AI Security Governance

Establishment of comprehensive governance structures for secure AI development and operations.

  • Development of AI security policies
  • Security guidelines for ML pipelines
  • Incident response procedures
  • Security awareness training
06

Continuous AI Security Monitoring

Continuous monitoring and assessment of the security of your AI systems.

  • Real-time security monitoring
  • Automated threat detection
  • Performance and security metrics
  • Regular security assessments

5 phases

Our Approach

We pursue a systematic, risk-based approach to identifying and minimizing AI risks, combining technical security measures with organizational governance structures.

  1. Comprehensive AI risk analysis and threat modeling

  2. Implementation of multi-layered security architectures

  3. Development of specific protective measures against identified threats

  4. Establishment of continuous monitoring and response processes

  5. Regular security assessments and adjustments

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

AI security is not merely a technical challenge, but a strategic imperative for every organization that wishes to deploy artificial intelligence. Our proactive approach to identifying and minimizing AI risks enables our clients to harness the benefits of AI technology without taking on incalculable risks. Security and innovation must go hand in hand.
ADVISORI expert opinion

Our Expertise

  • 01Specialized expertise in AI security and threat modeling
  • 02Extensive experience with adversarial ML and solidness testing
  • 03GDPR-compliant AI security frameworks
  • 04Proactive incident response and continuous monitoring

Security Notice

AI systems are only as secure as their weakest component. A proactive security strategy that covers all aspects — from data quality and model solidness to deployment security — is essential for the safe use of artificial intelligence.