Make security a cornerstone
of generative AI adoption
Protect your data and AI usage
Generative AI is transforming digital environments, business processes, and ways of collaborating. It opens up unprecedented opportunities for productivity, innovation, and user experience.But as its uses become more widespread, it raises critical issues: How can data security be guaranteed? How can we regulate models to prevent misuse? And how can we ensure compliance in an ever-changing regulatory environment? To meet these challenges, organizations need to structure their governance, anticipate risks, and educate their teams on best practices.
This is precisely the objective of our AI Security support, which aims to guide companies in the implementation of responsible, secure, and compliant generative AI, using Microsoft tools and a proven methodology.
AI Security addresses five strategic challenges:
- Preserving data confidentiality and sovereignty: securing information flows in a constantly evolving cloud ecosystem by integrating advanced protection solutions and appropriate governance mechanisms.
- Anticipating regulatory risks and building robust governance: structuring AI uses around clear standards (GDPR, AI Act, NIS2, etc.), map risks, and define responsibilitiesto ensure compliance and control of models.
- Strengthen technical and operational security posture: deploy proven tools such as Microsoft Purview, Entra, Intune, and Security Copilot to monitor AI environments, control access, and protect sensitive data.
- Detect and prevent malicious use: counter misuse of generative AI (deepfakes, phishing, disinformation) with filtering, logging, and agent monitoring mechanisms.
- Ensure transparency, traceability, and ethics in AI decisions: explain model reasoning, correct biases, and promote responsible, understandable AI that is aligned with the organization’s values.
Our key figures
Our methodology for securing the use of generative AI
We work with you to develop a clear and operational roadmap, integrating regulatory (GDPR, AI Act, NIS2), technical, and organizational dimensions.
After immersing ourselves in your environment, we carry out an assessment of the risks associated with generative AI, including mapping uses, identifying vulnerabilities (prompts, APIs, model dependencies), and analyzing regulatory impacts.
This analysis is based on recognized frameworks such as NIST AI RMF, MITRE ATLAS, and OWASP Top 10 AI, and enables us to structure robust governance, define roles and responsibilities, and implement compliance and usage control indicators.
We leverage solutions such as LangChain Guardrails, Prompt Security by GuardRails AI, Protect AI, and Robust Intelligence to strengthen security posture.
Security cannot be decreed: it is embodied in everyday practices. We help your teams understand the challenges associated with generative AI—confidentiality, sovereignty, bias, traceability—through educational workshops, concrete use cases, and targeted training.
Our experts work closely with business units to introduce best practices, Microsoft tools (Purview, Entra, Security Copilot, etc.), and the reflexes to adopt for responsible use.
A specific section is dedicated to prompt security and reverse engineering, with sessions on designing robust prompts, detecting injection attacks, and setting up conversational firewalls.
We assist you in implementing the technical solutions necessary for secure generative AI: tenant configuration, access management (RBAC), integration of data protection tools, and supervision of models and agents.
Our interventions cover the entire Microsoft ecosystem, including M365 Copilot, Azure OpenAI, Intune, Entra ID, and Azure Monitor. Our teams then provide post-deployment monitoring to ensure technical consistency, performance, and scalability of the systems.
Security is an ongoing process. We implement monitoring rituals, compliance dashboards, and internal communities of AI security experts. These “champions” play a key role in disseminating best practices, reporting incidents, and improving systems.
We capitalize on their feedback to enrich internal policies, document usage, and empower teams to respond to regulatory and technological changes. Tools such as Microsoft Purview Compliance Manager and Power BI are then used to document practices, track incidents, and strengthen teams’ autonomy in the face of regulatory and technological changes.
