{"id":159679,"date":"2026-08-26T07:31:58","date_gmt":"2026-08-26T06:31:58","guid":{"rendered":"https:\/\/univga.org\/ia-entreprise-donnees-conservation\/"},"modified":"2026-08-26T07:31:58","modified_gmt":"2026-08-26T06:31:58","slug":"ai-business-data-retention","status":"publish","type":"post","link":"https:\/\/univga.org\/en\/ia-entreprise-donnees-conservation\/","title":{"rendered":"AI in business: who really keeps your data?"},"content":{"rendered":"<div class=\"veille-intro\">\n<p>Imagine a hospital in Libreville wants to use AI (artificial intelligence) to summarize patient records before a medical meeting. Obvious time-saving. But a concern blocks the project: will the health data sent to the tool remain stored with the provider? Who will be able to consult them?<\/p>\n<p>The same question arises in a bank analyzing customer complaints, an administration processing social requests, or a university responding to its students. AI can help, but only if the organization knows precisely what it shares, with whom, and for how long.<\/p>\n<\/div>\n<aside class=\"veille-oneminute\">\n<p class=\"veille-oneminute__label\">What to remember in 1 minute<\/p>\n<ul>\n<li>On August 19, 2026, OpenAI presented Private Safety Processing, a system designed to detect dangerous uses without retaining customer data.<\/li>\n<li>For eligible API (application programming interface) clients, OpenAI promises zero retention of prompts and responses after processing.<\/li>\n<li>The real issue is simple: who keeps your data, for how long, and under what control?<\/li>\n<li>Other players, like Anthropic, assume temporary retention of certain data to monitor risks.<\/li>\n<\/ul>\n<\/aside>\n<h2>What is it, concretely?<\/h2>\n<p>When a company uses generative AI, it sends a prompt and receives a response: summary, analysis, draft letter, information extraction. The risk arises when this prompt contains sensitive data, such as a medical record, a payslip, or a customer complaint. OpenAI claims that its Private Safety Processing system can detect patterns of dangerous use across multiple exchanges, without giving OpenAI employees access to detailed content. The main challenge is therefore the balance between security and privacy. Good news: an organization can significantly reduce risks if it chooses the right contract, limits the data transmitted, and maintains human validation.<\/p>\n<h2>Concrete case: what to do and what not to do<\/h2>\n<aside class=\"veille-case-study\">\n<p class=\"veille-case-study__intro\">Let's take Omar Bongo University in Libreville as a fictitious educational example. The academic services receive numerous requests each week: certificates, transcripts, scholarships, registrations, administrative orientation. The messages sometimes contain personal data, such as a student number, grades, social situation, contact details, or supporting documents.<\/p>\n<p class=\"veille-case-study__intro\">The temptation is strong: to directly connect an AI assistant to the service's email to summarize messages and propose responses. The problem is not the idea itself, but what is lacking around it: sorting rules, appropriate contract, informing students, retention duration, validation before sending, and procedure in case of error.<\/p>\n<div class=\"veille-case-study__grid\">\n<div class=\"veille-case-study__col veille-case-study__col--do\">\n<p class=\"veille-case-study__label\">What can be done<\/p>\n<ul>\n<li>Classify the data before the project: public, internal, confidential, or sensitive.<\/li>\n<li>Choose a professional contract with confidentiality, no training on the data, and the possibility of audit.<\/li>\n<li>Mask names, student numbers, and identity documents when they are not necessary.<\/li>\n<li>Have each response validated by an agent before sending it to the student.<\/li>\n<li>Keep a record of uses, concerned services, and any incidents.<\/li>\n<\/ul>\n<\/div>\n<div class=\"veille-case-study__col veille-case-study__col--dont\">\n<p class=\"veille-case-study__label\">What not to do<\/p>\n<ul>\n<li>Copy-pasting complete student files into a public chatbot.<\/li>\n<li>Thinking that 'zero conservation' means 'zero risk' in all cases.<\/li>\n<li>Launching the tool in a sensitive service without informing the concerned parties.<\/li>\n<li>Confusing free tools, business offerings, and professional APIs, as the rules differ.<\/li>\n<li>Allowing each employee to choose their AI tool without common governance.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/aside>\n<h2>Questions to Ask Before Acting<\/h2>\n<ul>\n<li>Do the data sent to the AI contain personal, medical, financial, or HR (human resources) information?<\/li>\n<li>Does the provider keep the instructions and responses? If so, for how long?<\/li>\n<li>Can the data be used to train or improve the model, unless explicitly agreed?<\/li>\n<li>Does the contract provide for deletion, auditing, encryption, and precise access management?<\/li>\n<li>Do the data remain in a geographically acceptable area for your organization?<\/li>\n<li>Who validates the response before it is sent to a client, patient, student, or citizen?<\/li>\n<li>What procedure do we follow in case of an error, leak, fabricated response, or unauthorized use?<\/li>\n<\/ul>\n<h2>UNIVGA Viewpoint<\/h2>\n<aside class=\"veille-univga-voice\">\n<p>For Gabon and Francophone Africa, the question is not just 'which AI tool to choose?'. The decisive question becomes: where do our data go? A bank, a hospital, an administration, or a university cannot treat the information of its users as mere texts to be sent online. The APDPVP (Authority for the Protection of Personal Data and Privacy) reminds us that privacy protection covers the collection, processing, transmission, storage, and use of personal data.<\/p>\n<p>UNIVGA advocates for a pragmatic approach: using AI, yes, but methodically. Even when the best services are hosted outside the continent, organizations can impose rules: data minimization, anonymization, professional contracts, encryption, processing logs, and human validation. This is also a form of digital sovereignty, as it restores decision-making power to local institutions.<\/p>\n<p>For students of the School of Artificial Intelligence &amp; Data, the message is clear: knowing how to create a model or automate a process is no longer enough. A good professional must also explain to management why certain data should never be sent as is to an AI tool.<\/p>\n<\/aside>\n<aside class=\"veille-univga-encart\">\n<p class=\"veille-univga-encart__label\">Training at UNIVGA<\/p>\n<p>UNIVGA offers professional certifications in many fields. Browse the complete catalog of our schools and training programs to find the path that suits your project.<\/p>\n<p><a href=\"https:\/\/univga.org\/en\/our-training-courses\/\">Discover our training programs<\/a><\/aside>\n<h2>Sources<\/h2>\n<ol>\n<li><a href=\"https:\/\/openai.com\/index\/offering-zero-data-retention-for-frontier-models\/\">OpenAI, Offering Zero Data Retention for frontier models<\/a><\/li>\n<li><a href=\"https:\/\/privacy.claude.com\/en\/articles\/15425996-data-retention-practices-for-covered-models\">Anthropic Privacy Center, Data retention practices for Covered Models<\/a><\/li>\n<li><a href=\"https:\/\/platform.openai.com\/docs\/models\/default-usage-policies-by-endpoint\">OpenAI Platform, Data controls in the OpenAI platform<\/a><\/li>\n<li><a href=\"https:\/\/www.apdpvp.ga\/la-cnpdcp\/missions\/\">APDPVP Gabon, Missions<\/a><\/li>\n<li><a href=\"https:\/\/openai.com\/business-data\/\">OpenAI, Business data privacy, security, and compliance<\/a><\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>OpenAI announces a system to monitor AI abuses without retaining customer data. A key question for banks, hospitals, and universities.<\/p>","protected":false},"author":6945,"featured_media":159680,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1969],"tags":[1981,1997,1980,2084],"offerexpiration":[],"class_list":["post-159679","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-veille-technologique","tag-donnees-personnelles","tag-gouvernance-des-donnees","tag-intelligence-artificielle","tag-securite"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.9 (Yoast SEO v28.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>IA en entreprise : qui garde vraiment vos donn\u00e9es ?<\/title>\n<meta name=\"description\" content=\"OpenAI promet de d\u00e9tecter les abus sans conserver les donn\u00e9es clients. 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