Security & Resilience
AI Security & Resilience
Structured security-by-design evaluations of AI pipelines, model supply chains, and inference infrastructure against adversarial and operational threats.
AI systems introduce a distinct and expanding attack surface that traditional cybersecurity frameworks were not designed to address. From adversarial inputs and model inversion attacks to supply chain compromise and data poisoning, the threat landscape for AI is both technical and organizational. Verydion conducts structured AI security assessments that evaluate your AI systems, development practices, and operational controls against a comprehensive threat model — producing actionable findings and a prioritized remediation roadmap. Our assessments are designed for regulated environments where security failures carry regulatory, reputational, and operational consequences.
Regulatory Context
The EU AI Act requires providers of high-risk AI systems to implement cybersecurity measures proportionate to the risks. DORA (Digital Operational Resilience Act) extends ICT risk management obligations to AI systems used in financial services. The NIS2 Directive introduces security requirements for AI systems in critical infrastructure sectors. Verydion's assessments are calibrated to these regulatory frameworks and produce evidence suitable for regulatory review.
All Services
Scope of Engagement
What We Deliver
AI Threat Modelling
Structured threat modelling of AI systems — identifying attack vectors, threat actors, and potential impact across the model lifecycle from training to inference.
Adversarial Robustness Testing
Evaluation of model resilience against adversarial inputs, evasion attacks, and prompt injection — with quantified robustness metrics and failure mode analysis.
Model Supply Chain Assessment
Review of third-party model provenance, fine-tuning practices, and dependency risks — including open-source model integrity and vendor security posture.
Data Pipeline Security Review
Assessment of training and inference data pipelines for poisoning risks, access control weaknesses, and data integrity controls.
MLOps Security Assessment
Review of ML infrastructure, CI/CD pipelines, model registries, and deployment environments against security best practices and regulatory requirements.
Security Remediation Roadmap
Prioritized remediation roadmap with risk-rated findings, recommended controls, and implementation guidance — suitable for board and regulatory reporting.
Ideal For
Who Is This For?
- Financial institutions subject to DORA with AI systems in scope for ICT risk management
- Healthcare organizations deploying AI in clinical or patient-facing contexts
- Critical infrastructure operators using AI in operational technology environments
- Organizations preparing for EU AI Act conformity assessments for high-risk systems
- Security and risk teams seeking independent assurance on AI system security posture
- Organizations that have experienced or are concerned about AI-specific security incidents
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Speak with a Verydion advisor about how this service applies to your organization.
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