DefensyLab»Secure AI Adoption
Secure AI Adoption

Adopt AI.
Stay in control.

Defensy helps organizations adopt artificial intelligence securely, from identifying use cases to going into production, while keeping risks, data, compliance and security under control.

Why secure AI adoption?

AI brings major opportunities, but it also introduces new risks that must be kept under control.

Fast-growing usage

AI tools used by employees, often without a framework.

Sensitive data

Confidential content that can be exposed to uncontrolled solutions.

New risks

Prompt injection, data leakage, bias, vendor dependency, automated decisions.

Regulatory requirements

A need to structure governance and traceability according to ISO/IEC 42001, 27001 and growing obligations.

Our approach

A complete journey for controlled adoption

From needs assessment to production, we support you at every step.

AI Adoption Assessment

Identify usage, define needs and frame the risks.

AI Policy & Data Governance

Put a governance and data management framework in place.

AI Security Implementation

Secure and deploy AI solutions in your environment.

Monitoring & Continuous Improvement

Stay in control over time and adapt the framework.

Évaluation des risques IA sur tablette
01
AI Adoption Assessment

Understand your usage and set your priorities

A complete analysis to inventory your use cases, assess the risks and define an adoption roadmap.

  • Inventory of AI tools and usage (including Shadow AI)
  • Identification of business needs and candidate use cases
  • Risk assessment for each use case
  • Maturity analysis (governance, security, data, identity, etc.)
  • Prioritization and adoption roadmap
02
AI Policy & Data Governance

Set the rules before scaling usage

A governance framework aligned with ISO/IEC 42001 and 27001 to govern the use of AI and protect your data.

  • AI usage policy and employee charter
  • Roles, responsibilities and governance committee
  • Classification of use cases by risk level
  • Data management and protection rules for AI
  • Approval process for new use cases
Atelier de gouvernance de l'IA
Processeur IA sécurisé
03
AI Security Implementation

Secure and deploy your AI solutions

Concrete controls to secure tools and use cases before they go into production.

  • Secure architecture and data flow review
  • Access, identity and permission controls
  • Protection against LLM risks (prompt injection, data leakage, etc.)
  • Assessment of AI vendors and solutions
  • Support for going into production (secure onboarding)
04
Monitoring & Continuous Improvement

Stay in control over time

Continuous monitoring to detect drift, manage incidents and adapt the framework.

  • Usage monitoring and Shadow AI detection
  • Tracking of authorized tools and vendors
  • Detection of abnormal behavior and AI incidents
  • Periodic review of use cases and risks
  • Compliance indicators and continuous improvement
Analystes surveillant les usages IA

Recognized frameworks

ISO/IEC 42001

ISO/IEC 42001

Artificial intelligence management system

ISO/IEC 27001

ISO/IEC 27001

Information security management system

GDPR

GDPR

General Data Protection Regulation

Common use cases

We work on a wide range of use cases, across all industries.

Business assistants

ChatGPT, Copilot, Gemini, Claude, etc.

Data analysis

Data, BI & reporting, advanced analytics

Process automation

AI agents & RAG connected to internal systems.

Business applications

Integrating AI into existing tools and services.

Take action

Let’s build secure and
responsible AI adoption together.

Assess your usage, structure your governance and secure your AI projects with the support of our experts.