{"id":7750,"date":"2026-09-14T19:03:01","date_gmt":"2026-09-14T19:03:01","guid":{"rendered":"https:\/\/marizolanewss.com\/?p=7750"},"modified":"2026-09-14T19:03:01","modified_gmt":"2026-09-14T19:03:01","slug":"ai-data-security","status":"publish","type":"post","link":"https:\/\/marizolanewss.com\/pt\/ai-data-security\/","title":{"rendered":"SEGURAN\u00c7A DE DADOS DE IA"},"content":{"rendered":"<article>\n<h1>AI DATA SECURITY: 7 WAYS BUSINESSES CAN PROTECT SENSITIVE INFORMATION<\/h1>\n<p><strong>AI data security<\/strong> is becoming a central concern for businesses adopting artificial intelligence. AI can help employees analyse documents, search internal information and automate repetitive tasks, but connecting these systems to company data can also create new security risks.<\/p>\n<figure id=\"attachment_7754\" aria-describedby=\"caption-attachment-7754\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"td-modal-image wp-image-7754 size-medium\" src=\"https:\/\/marizolanewss.com\/wp-content\/uploads\/2026\/09\/images-13-300x171.jpg\" alt=\"AI data security for businesses\" width=\"300\" height=\"171\" title=\"\" srcset=\"https:\/\/marizolanewss.com\/wp-content\/uploads\/2026\/09\/images-13-300x171.jpg 300w, https:\/\/marizolanewss.com\/wp-content\/uploads\/2026\/09\/images-13-18x10.jpg 18w, https:\/\/marizolanewss.com\/wp-content\/uploads\/2026\/09\/images-13-640x366.jpg 640w, https:\/\/marizolanewss.com\/wp-content\/uploads\/2026\/09\/images-13-681x389.jpg 681w, https:\/\/marizolanewss.com\/wp-content\/uploads\/2026\/09\/images-13.jpg 733w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption id=\"caption-attachment-7754\" class=\"wp-caption-text\">Businesses need clear controls over the information artificial intelligence systems can access.<\/figcaption><\/figure>\n<h2>1. Identify sensitive information<\/h2>\n<p>Before introducing AI into a business workflow, organisations should identify which information requires stronger protection. Customer records, financial information, employee data, passwords, contracts and confidential business plans should not automatically be available to every AI system.<\/p>\n<h2>2. Limit AI access<\/h2>\n<p>AI systems should receive only the permissions required to perform their assigned tasks.<\/p>\n<p>If an assistant is being used to analyse sales documents, there may be no reason for it to access payroll records or confidential legal files. Limiting permissions reduces the potential impact of a mistake or compromised account.<\/p>\n<h2>3. Create clear employee policies<\/h2>\n<p>Employees should know what information can be entered into AI tools and what information should remain inside approved company systems.<\/p>\n<p>A simple policy can prevent users from accidentally sharing confidential customer or business information with an external service.<\/p>\n<h2>4. Use strong authentication<\/h2>\n<p>AI platforms connected to company systems should be protected with strong authentication. Multi-factor authentication can add another layer of protection when passwords are compromised.<\/p>\n<p>Businesses should also remove access quickly when employees leave the organisation or change roles.<\/p>\n<h2>5. Monitor how AI is being used<\/h2>\n<p>Businesses should know which AI systems are being used, who has access to them and what types of information they can process.<\/p>\n<p>Monitoring can help identify unusual activity and reveal situations where employees are using unapproved tools for sensitive tasks.<\/p>\n<h2>6. Keep software updated<\/h2>\n<p>AI security does not replace basic cybersecurity. Operating systems, browsers, applications and security tools should remain updated to reduce exposure to known vulnerabilities.<\/p>\n<h2>7. Review AI systems regularly<\/h2>\n<p>AI projects can change quickly. A tool that originally processed only public information may later become connected to internal databases or automated workflows.<\/p>\n<p>Businesses should therefore review permissions and security policies whenever an AI system gains new capabilities.<\/p>\n<h2>Security should come before convenience<\/h2>\n<p>Artificial intelligence can deliver major productivity benefits, but companies should not give an AI system unlimited access simply because doing so is convenient.<\/p>\n<p>The safest approach is to give the technology the minimum access necessary for the task, monitor its use and keep people responsible for important decisions.<\/p>\n<p>Good AI adoption is not only about choosing a powerful model. It is also about knowing exactly what information that model can see and what it is allowed to do with it.<\/p>\n<p><strong>Read more:<\/strong> <a href=\"https:\/\/marizolanewss.com\/pt\/how-to-protect-your-online-accounts\/\">How to Protect Your Online Accounts<\/a>, <a href=\"https:\/\/marizolanewss.com\/pt\/how-to-use-ai-for-research-and-fact-checking\/\">Como Usar a IA para Pesquisa e Verifica\u00e7\u00e3o de Fatos<\/a> and <a href=\"https:\/\/marizolanewss.com\/pt\/how-to-use-ai-for-business-productivity\/\">How to Use AI for Business Productivity<\/a>.<\/p>\n<p><strong>External resource:<\/strong> <a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST AI Risk Management Framework<\/a>.<\/p>\n<\/article>","protected":false},"excerpt":{"rendered":"<p>AI DATA SECURITY: 7 WAYS BUSINESSES CAN PROTECT SENSITIVE INFORMATION AI data security is becoming a central concern for businesses adopting artificial intelligence. AI can help employees analyse documents, search internal information and automate repetitive tasks, but connecting these systems to company data can also create new security risks. 1. Identify sensitive information Before introducing [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7751,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"tdm_status":"","tdm_grid_status":"","footnotes":""},"categories":[132],"tags":[268,144,146,179,269,270],"class_list":["post-7750","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai-security","tag-artificial-intelligence","tag-business-technology","tag-cybersecurity","tag-data-privacy","tag-data-protection"],"_links":{"self":[{"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/posts\/7750","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/comments?post=7750"}],"version-history":[{"count":3,"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/posts\/7750\/revisions"}],"predecessor-version":[{"id":7755,"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/posts\/7750\/revisions\/7755"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/media\/7751"}],"wp:attachment":[{"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/media?parent=7750"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/categories?post=7750"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marizolanewss.com\/pt\/wp-json\/wp\/v2\/tags?post=7750"}],"curies":[{"name":"WP","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}