Thales Cyber Solutions Luxembourg

AI Security Advisor #

As AI Security Advisor at Thales, I help organizations adopt generative AI without weakening their security posture. My work runs on two fronts: securing the company’s own internal adoption of AI, and advising clients on the secure design and deployment of their AI systems.

I run AI security architecture reviews of GenAI and LLM deployments, both on-premises and in the cloud across the major commercial models. Each review covers threat modeling, gap analysis against AI security verification standards, and concrete, prioritized remediation. Recurring themes are AI gateways, guardrails (prompt-injection, jailbreak and sensitive-data detection), secure model governance and deployment pipelines, network isolation, and the specific risks of retrieval-augmented and agentic systems.

Beyond individual assessments, I contribute to methodologies and tooling for evaluating and validating LLMs and AI security products for sensitive use cases.

I also help clients tackle the broader shift that generative AI brings to their security: bringing shadow AI under control, embedding AI-assisted secure development into their engineering practices, and hardening their application security strategy against a new generation of threat actors who now wield frontier models.

Alongside this, I develop and deliver AI security trainings and run AI security awareness sessions, helping technical and non-technical teams understand and mitigate AI-specific risks.

Internally, I help teams identify AI use cases, choose suitable tools and integrate them securely, aligned with organizational objectives and regulations such as the EU AI Act and GDPR.