Data & confidentiality
Classification, minimization, secrets and control of information transmitted to models.
Reliable data. Mastered AI uses.
Data, security
& AI compliance
Structure your data, protect your AI systems and prepare your compliance approach. Our consultants and technical experts work with your business lines, your IT department and your risk teams.
Data Management · AI Security · ISO/IEC 42001
01 / Data
Data ready for your business and AI
Reliability, traceability and access: we are building the Data base that allows you to exploit your information and industrialize your AI uses.
DAMA-DMBOKData Management repositoryDMMAData maturity diagnosis
01Maturity & target visionIdentify critical data and gaps to fill.+
We evaluate your Data Management practices, your processes and the data sets necessary for the chosen uses. DMMA diagnosis is based on DAMA-DMBOK.
DeliverablesMaturity diagnosis, mapping of critical data, risks and target vision.
02Governance & responsibilitiesDefine who carries, manages and protects each data.+
We organise the responsibilities of data owners, quality referents and technical teams, with the associated decision circuits and policies.
DeliverablesData organisation, roles and responsibilities, policies and governance bodies.
03Quality & standardsMake customer, product and operations data more reliable.+
We define the checks for accuracy, completeness, freshness and consistency, then the rules for managing the reference data.
DeliverablesQuality programme, Master Data strategy, benchmarks and monitoring indicators.
04Catalog & traceabilityKnow where the data comes from and how it is used.+
Sources, metadata, classification and transformations are documented to follow the journey of the data to its business and AI uses.
DeliverablesData catalog, classification rules and mapping of flows and transformations.
05Preparing for AI modelsMoving from raw data to training and testing sets.+
Collection, cleaning, transformation and annotation: we prepare structured and documentary data, evaluate bias and distinguish learning, evaluation and production.
DeliverablesDocumented datasets, annotation rules, quality checks and reproducible pipelines.
06Roadmap & managementPlan actions, means and indicators.+
Data projects are prioritised according to the business needs, dependencies and capabilities of your teams. The trajectory can cover 24 to 36 months, depending on the scope.
DeliverablesPrioritised roadmap, operational data model, planning and dashboard.
1Frame
Scope, actors and priority data.
2Diagnose
Maturity, irritants and Data Management target.
3Organise the deployment
Projects, governance and indicators.
02 / Security
Secure your AI systems and automations
We assess the risks of your applications, their data and their actions. The controls are adapted to their criticality and their level of autonomy.
Identities & access
Authentication, limited privileges, service accounts and API key protection.
Resistance tests
Evaluation of prompt injections, information leaks and control overrides.
Models & suppliers
Hosting, dependencies, contractual commitments and data processing conditions.
Supervision & validation
Exploitable traces, alerts and human control of sensitive actions.
Incidents & continuity
Escalation procedures, controlled shutdown and resumption of operations.
What you get
Risk mapping, test results, remediation plan and operating rules.
AI at the service of cyber teams
Automate auditable tasks
AlertsGroup, enrich and prepare for sorting.
VulnerabilitiesReconcile assets, create tickets and track corrections.
ReportingCollect evidence and prepare summaries for validation.
03 / Compliance
Prepare your organisation for ISO/IEC 42001
We support you in setting up an AI management system: responsibilities, risks, controls and proof of operation.
01Diagnosis & gap analysisSituate your organisation in relation to the requirements.+
We define the scope of the AI management system, identify stakeholders and review your existing processes and documents.
DeliverablesGap analysis and prioritised action plan.
02Risks & impacts of AIEvaluate the consequences of uses and the necessary controls.+
Technical and organisational risks and impacts on people are studied according to the systems concerned, with the treatment measures and responsibilities.
DeliverablesRisk register, impact assessments and treatment plan.
03Policies & processesFormalize a framework applicable by the teams.+
We structure the AI policy, roles, objectives and documentation of the management system, articulating it with your quality and safety practices.
DeliverablesAI policy, procedures, responsibilities and documentary models.
04Controls & SkillsApply the rules throughout the life cycle.+
Design, testing, validation, deployment and monitoring: controls are integrated into projects. The teams are made aware of the responsibilities and authorized uses.
DeliverablesDocumented controls, validation criteria and training plan.
05Internal audit & management reviewCheck the application and correct any discrepancies.+
We support you in the internal audit programme, monitoring of indicators, management review and handling of non-conformities.
DeliverablesAudit programme, dashboard and corrective action plan.
06Preparing for the certification auditGather evidence and check your preparation.+
We prepare the mock audit and the evidence file, then the actions to be carried out before the external audit. Certification is issued by an independent certification body.
DeliverablesPreparation file, results of the mock audit and monitoring plan.
A framework adapted to your obligations
We map the requirements applicable to your activities and countries of operation, with your legal, compliance and security functions. Purposes, access, conservation and traceability are integrated into the processes.
An approach followed over time
Indicators, management reviews and corrective actions allow your management system to evolve with your AI uses.
Reference: ISO/IEC 42001:2023 — AI management systems.
What you get
Usable deliverables
by your teams.
A mission targeted on data, security or compliance; the three components can be mobilized separately.
AI CraftersStructure overview
Data quality
- Critical and responsible data
- Checks and anomalies noted
- Correction actions and follow-up
AI CraftersStructure overview
Risks & access
- Uses, data and actors
- Risks and control measures
- Rights, validations and traceability
AI CraftersStructure overview
Remediation plan
- Gaps and expected evidence
- Responsibilities and deadlines
- Audit Readiness Checks
Illustrative structures. The documents and their scope are adapted to your mission.
Our key missions
Concrete uses that mobilize architecture, access control, traceability and management.
Crédit Agricole du Maroc
Legal agents on the bank's infrastructure, with open models, human validation and traceability of actions.
See the customer case
SDAIA
Audit of the national Data and AI index: consistency of indicators, contribution of initiatives and maturity trajectory.
See the customer caseYour questions
Should we launch all three components together?+
No. The mission may relate to a Data need, an AI system to be secured or preparation for ISO/IEC 42001. The framework identifies the dependencies and the experts to be mobilized.
Are you working on our existing tools?+
Yes. We start from your IS, your data and your practices. The choices of tools and hosting are studied according to your integration, confidentiality and operating constraints.
Who issues ISO/IEC 42001 certification?+
An independent certification body, following its audit. AI Crafters supports you in the preparation, implementation of requirements and handling of deviations.
Let’s discuss your project
Let's talk about your Data, security and compliance challenges
Data diagnostics, securing AI uses or preparing for ISO/IEC 42001: our experts help you frame the mission.
- 01We identify your priority: data, security or compliance.
- 02We define the information to be examined and the scope of the mission.
