AI Security & Governance

AI introduces new attack vectors — prompt injection, model poisoning, algorithmic bias — that traditional security approaches do not cover.

Move2Cloud helps you secure your AI pipelines and implement a governance framework aligned with the EU AI Act and NIST AI RMF.

AI in production is an attack surface

Artificial intelligence systems introduce unprecedented risk vectors: prompt injection on LLMs, training data poisoning, algorithmic bias, sensitive data leakage through models.

Move2Cloud helps you secure your AI pipelines end-to-end and implement a robust governance framework aligned with the EU AI Act, NIST AI RMF and ISO 42001 standards.

AI Security & Gouvernance illustration

New AI risks for enterprises

Prompt Injection & jailbreaking

LLMs exposed via APIs can be manipulated to bypass guardrails, exfiltrate data or execute unauthorised actions. An attack vector that is difficult to detect with classical tools.

Model poisoning

Malicious data injected into training or fine-tuning datasets can introduce undesirable behaviours or backdoors into models deployed in production.

Regulatory compliance

The EU AI Act imposes strict requirements on high-risk AI systems. GDPR applies to personal data used for training. Non-compliance exposes organisations to significant penalties.

AI supply chain

Using open-source models (Hugging Face, etc.) without verification introduces supply chain risks: models containing malicious code, non-compliant licences, unknown training data.

Our AI Security & Governance services

Our services cover the full spectrum of AI security, from risk assessment to regulatory compliance.

Each service is calibrated to meet the requirements of the EU AI Act, NIST AI RMF and ISO 42001, with a pragmatic approach grounded in your operational reality.

Our experts combine cloud cybersecurity with deep knowledge of LLM and MLOps architectures.

AI security audit

Comprehensive assessment of your AI systems: attack surface analysis, model robustness testing, MLOps pipeline and data access review.

MLOps pipeline protection

End-to-end security of your training and deployment pipelines: artefact signing, dataset scanning, environment isolation.

AI governance framework

Implementation of an AI management system compliant with ISO 42001 and EU AI Act: risk classification, model registry, acceptable use policies.

Monitoring & detection

Continuous monitoring of model behaviour in production: drift detection, request anomalies, prompt injection attempts.

Why Move2Cloud?

Security & AI expertise

Our consultants combine cloud cybersecurity expertise and in-depth knowledge of LLM and MLOps architectures, for recommendations grounded in operational reality.

Regulatory alignment

We closely follow the evolution of the EU AI Act, NIST AI RMF and ISO 42001 to guarantee lasting compliance, not just punctual.

Pragmatic approach

No theory without practice: we deliver concrete configurations, actionable policies and operational tools integrated into your existing stacks.

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