Responsible & Secure AI
Combine Innovation, Security and Compliance in Your Artificial Intelligence Projects
We help you secure your data and ensure your models are ethical.
AI opens up new opportunities to optimise your processes, analyse your data and support strategic decision-making. However, it also brings risks, including bias, vulnerabilities, regulatory non-compliance and breaches of confidentiality.
At Thalia NeoMedia, we help you design responsible and secure AI projects by combining cybersecurity expertise, regulatory audits and strategic support.
Our Support
AI Governance and Advisory
Identifying vulnerabilities in your models and data
Reviewing regulatory compliance, including GDPR and AI ethics
Detecting algorithmic bias and potential operational risks
Auditing and assessing AI projects
Defining internal policies and charters for the responsible use of AI
Structuring governance to monitor security and compliance
Recommending measures to secure the full lifecycle of your projects
Operational Workshop
Prioritising actions according to the risks identified
Providing operational follow-up and monitoring the implementation of recommendations
Advising on how to integrate AI securely within your organisation
Prioritising actions according to the risks identified
Providing operational follow-up and monitoring the implementation of recommendations
Advising on how to integrate AI securely within your organisation
Objectives and Benefits for Your Organisation
Protect your data and AI models against technical vulnerabilities.
Ensure your AI systems operate without bias or critical errors.
Meet regulatory and ethical requirements.
Enable your teams to adopt AI effectively.
Strengthen the confidence of your clients and employees.
Our AI Packages
AI Audit
Assess Your Current AI Uses
We analyse your AI systems and tools to identify technical, regulatory and ethical risks, including potential bias, vulnerabilities and areas for improvement.
Duration :3 days
Format On-site or remote
Deliverables include :
Analysis summary of existing AI uses
Identification of key risks and improvement areas
Concise roadmap (5–10 pages)
Initial AI projects and quick wins identified quick wins identifiés
Analysis summary of existing AI uses
Identification of key risks and improvement areas
Concise roadmap (5–10 pages)
Initial AI projects and quick wins identified quick wins identifiés
AI Governance
Structure Your AI Practices
Define internal rules, validation processes and control protocols to support the responsible and secure use of AI across your teams.
Duration :A management dashboard to track risks, security and compliance
Format On-site or remote
Deliverables include :
- Une An internal charter for the responsible use of AI
- Une définition des rôles et responsabilités Defined roles and responsibilities for AI tools and projects
- Une A map of relevant AI uses, risks and data
- Un cadre de conformité A compliance framework covering GDPR, the AI Act and ethical considerations
- Des procédures de validation et de suivi Procedures for approving and monitoring new AI uses
- Un tableau de bord de pilotage pour suivre les risques, la sécurité et la conformité
- Recommendations and best practices for your teams
AI Strategy
Deploy Your AI Projects Effectively
Develop an AI roadmap aligned with your business objectives, including action prioritisation, budgeting, and performance and security KPI monitoring.
Duration :14 days
Format On-site or remote
Deliverables include :
AI strategic plan (30+ pages)
Project prioritisation and transformation roadmap
Kick-off workshops to structure the approach
Optional add-ons:
Training sessions to introduce teams to AI
Tailored support
Monitoring framework with outcome-based payment
