Facilitateur en Intelligence Artificielle/en

Un facilitateur IA est un correspondant cyber disposant de connaissances pratiques en cybersécurité et en Intelligence Artificielle.

Catégorie : Commun Statut : ⧼cc-com-idée⧽ 1 : Idée - 2 : Prototype - 3 : Validation - 4 : ProductionMots clés : Formation, Vocation

== What is the role of the AI facilitator? The role of the AI facilitator is to bring together cybersecurity teams and data scientists:

• Leading the cross-functional cyber and data science community (AI for and through cyber);
• Identify ML opportunities and benefits for cyber teams in their activities (cyber and non-cyber);
• Raise awareness of cyber issues among data scientists, and even facilitate access to or generation of cyber data;
• Promote the implementation of IA Security champions on the operational side and provide them with intelligence.

== His day-to-day activities Working directly with the CISO, you will be responsible for facilitating exchanges, interaction and collaboration with the community of data scientists. His or her cross-disciplinary knowledge of cybersecurity and interpersonal skills will enable him or her to :

• Using a community of data scientists and cybersecurity teams to promote exchanges and news on cyber needs in the field
• Make an inventory of the skills required and the cyber security expectations of the data scientist community in order to make them operational (training, tools, contacts, etc.)
• Make cyber security teams aware of the specific issues/capabilities related to AI (attacks on companies' AI or possible uses of AI on the cyber side);
• Facilitate the creation and implementation of cyber security measures to protect AI systems. Then promote their implementation.
• Contribute to the implementation of "cyber" business metrics for evaluating the performance of ML models;
• Relaying intelligence on incidents and public research papers - finding and promoting associated training - on attack techniques exploiting AI to AI sec champions and the community.

Expected skills

Organisational skills

• Maîtrise de l’organisation  ;
• Maîtrise des processus de l’Entreprise  ;
• Capacités d’analyse des difficultés Cyber et à quantifier leurs impacts, construire le budget du projet  ;
• Savoir communiquer avec le métier cyber à de multiples niveaux (Opérations / Management / Stratégie / Budget / RSSI)

Compétences data science

• Compréhension des données utiles à la cyber sécurité
• Manipulation et transformation des données
• Connaissances ML pratiques (Développement et intégration ML)

Compétences cybersécurité

• Etre professionnel de la cybersécurité
• Avoir des compétences dans le domaine de la sécurisation de la donnée
• Sécurisation des pipelines data

Groupe de travail

IA et cybersécurité