{"id":99817,"date":"2026-02-10T08:00:21","date_gmt":"2026-02-10T11:00:21","guid":{"rendered":"https:\/\/abes.org.br\/?p=99817"},"modified":"2026-01-28T18:23:58","modified_gmt":"2026-01-28T21:23:58","slug":"gartner-preve-que-ate-2028-50-das-organizacoes-adotarao-governanca-de-dados-zero-trust-a-medida-que-cresce-o-volume-de-dados-nao-verificados-gerados-por-inteligencia-artificial","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/gartner-preve-que-ate-2028-50-das-organizacoes-adotarao-governanca-de-dados-zero-trust-a-medida-que-cresce-o-volume-de-dados-nao-verificados-gerados-por-inteligencia-artificial\/","title":{"rendered":"Gartner predicts that by 2028, 501% of organizations will adopt zero-trust data governance, as the volume of unverified data generated by Artificial Intelligence grows."},"content":{"rendered":"

\"\"<\/p>\n

The increasing volume of data generated by AI threatens the future reliability of Big Language Models.<\/em><\/p>\n

By 2028, 50% of organizations will implement a posture of\u00a0zero-trust<\/i>\u00a0for data governance due to the proliferation of unverified data generated by\u00a0<\/a><\/span>Artificial Intelligence (AI)<\/u><\/a>, according to\u00a0Gartner, Inc.<\/b>., a business insights and technology company.<\/p>\n

\u201c"Organizations can no longer implicitly trust data or assume that it was generated by humans," he says.\u00a0Wan Fui Chan<\/a><\/u>, Vice President of Management at Gartner. \u201cAs AI-generated data becomes ubiquitous and indistinguishable from human-created data, a stance\u00a0zero-trust\u00a0<\/i>"Establishing authentication and verification measures is essential to protect business and financial outcomes."\u201d<\/p>\n

Data generated by AI increases the risks of model collapse and compliance requirements.<\/b><\/p>\n

Large Language Models (LLMs) are typically trained with data "collected from the web" and a variety of sources, including books, code repositories, and research articles. Some of these sources already contain AI-generated content, and if current trends continue, almost all will eventually be populated with AI-generated data.<\/p>\n

According to the\u00a02026 Gartner CIO and Technology Executive Survey<\/a><\/u>, 84% of respondents expect their organizations to increase funding for Generative Artificial Intelligence (GenAI) by 2026. As organizations accelerate the adoption and investment in AI initiatives, the volume of data generated by Artificial Intelligence will continue to increase. This means that future generations of LLMs will be increasingly trained based on the results of previous models, increasing the risk of \u201cmodel collapse,\u201d where the responses of AI tools may no longer accurately reflect reality.<\/p>\n

\u201cAs AI-generated content becomes more prevalent, regulatory requirements to verify 'AI-free' data are expected to intensify in certain regions,\u2018 says Chan. \u2019However, these requirements may differ significantly across geographic regions, with some jurisdictions seeking to apply stricter controls to AI-generated content, while others may adopt a more flexible approach.\u201d.<\/p>\n

\u201cIn this evolving regulatory environment, all organizations will need to have the ability to identify and mark (tag<\/i>) in data generated by AI. Success will depend on having the right tools and a skilled workforce in information and knowledge management, as well as metadata management solutions that are essential for data cataloging.\u201d.<\/p>\n

Active metadata management practices will become a key differentiator, enabling organizations to analyze, alert on, and automate decision-making across all their data assets.<\/p>\n

Managing risks associated with the rise of unverified data generated by AI.<\/b><\/p>\n

Organizations should consider several strategic actions to manage the risks of unverified data:<\/p>\n

\u2013 Appoint an AI governance leader:<\/b>\u00a0Establish a position responsible for Artificial Intelligence governance, including policies for...\u00a0zero-trust<\/i>, AI risk management and compliance operations. This leader must work closely with the Data & Analytics (D&A) teams to ensure that data is...\u00a0Ready for Artificial Intelligence<\/a><\/u>\u00a0and that the systems are capable of handling AI-generated content.<\/p>\n

\u2013 Promote cross-functional collaboration:<\/b>\u00a0form cross-functional teams that include\u00a0cyber security<\/a><\/u>, Data & Analytics and other relevant stakeholders to conduct\u00a0comprehensive data risk assessments<\/a><\/u>, seeking to identify business risks related to AI-generated information and determine which are addressed by existing data security policies and which require new strategies.<\/p>\n

\u2013 Leverage existing governance policies:\u00a0<\/b>base yourself on\u00a0governance structures<\/a><\/u>\u00a0Focus on updating current Data & Analytics policies and concentrate on updating policies related to security, metadata management, and ethics to address new data risks generated by AI.<\/p>\n

\u2013 Adopt active metadata practices:<\/b>\u00a0This allows for real-time alerts when data is outdated or needs recertification, helping organizations quickly identify when business-critical systems may be exposed to inaccurate or biased information.<\/p>\n

Topics such as this and others related to data, security, and risk management will be addressed during the event.\u00a0Gartner Data & Analytics Conference<\/a><\/u><\/b>, held on April 28 and 29, and\u00a0Gartner Conference<\/a><\/u><\/b>\u00a0<\/a>Security & Risk Management<\/a><\/b><\/u>, which takes place on August 4th and 5th in S\u00e3o Paulo.<\/p>\n

Gartner clients can learn more at \u201cPredicts 2026: AI-Driven, Automated, Zero-Trust Governance<\/a><\/u>\u201dLearn how to maximize the value of AI while managing critical risks with the free e-book \u201cAI in Cybersecurity: Minimize Risks and Maximize Impact<\/a><\/u>\u201d.\u00a0<\/b><\/p>\n

Gartner is the world authority on AI.<\/b><\/p>\n

Gartner is the indispensable partner for C-level executives and technology vendors as they implement AI strategies to achieve their mission-critical priorities. The independence and objectivity of Gartner's insights provide clients with the confidence needed to make well-informed decisions and unlock the full potential of AI. C-level clients are using Gartner's AI tool.\u00a0AskGartner<\/a><\/u>\u00a0to define how to leverage AI in your business. With over 2,500 business and technology experts, 6,000 written insights, plus more than 1,000 AI use cases and case studies, Gartner is the world authority on AI. More information can be found [here\/at this link].\u00a0on here<\/a><\/u>.<\/p>\n

About the Gartner Security & Risk Management Conference<\/b><\/p>\n

Gartner analysts will present the latest insights for security and risk management leaders during the Gartner Security & Risk Management Conferences, which will be held on March 9th and 10th in [location missing from original text].\u00a0Mumbai<\/a><\/u>\u00a0(India), March 16 and 17\u00a0Sydney<\/a><\/u>\u00a0(Australia), June 1-3\u00a0National Harbor<\/a><\/u>\u00a0(USA), July 22-24 in\u00a0Tokyo<\/a><\/u>\u00a0(Japan), August 4 and 5\u00a0Sao Paulo<\/a><\/u>\u00a0(Brazil) and September 22-24 in\u00a0London<\/a><\/u>\u00a0(United Kingdom). Follow the news and updates from the conferences at\u00a0X<\/a><\/u>\u00a0and\u00a0LinkedIn<\/a><\/u>\u00a0using\u00a0#GartnerSEC<\/a><\/u>.<\/p>\n

About the Conference<\/b>\u202f<\/b>Gartner Data &<\/b>\u202f<\/b>Analytics<\/b>\u202f<\/b><\/p>\n

Gartner analysts will provide further analysis on Data and Analytics trends at the Gartner Data & Analytics Conferences, which will take place from March 9-11 in [location missing from original text].\u00a0Orlando<\/a><\/u>\u00a0(United States), April 28 and 29\u00a0Sao Paulo<\/a><\/u>\u00a0(Brazil), May 11-13\u00a0London<\/a><\/u>\u00a0(United Kingdom), May 19-21\u00a0Tokyo<\/a><\/u>\u00a0(Japan), June 16 and 17 in\u00a0Sydney<\/a><\/u>\u00a0(Australia) and September 21 and 22 in\u00a0Mumbai<\/a><\/u>\u00a0(India). Follow the news and updates from the conference at\u00a0X<\/a><\/u>\u00a0and\u00a0LinkedIn<\/a><\/u>\u00a0using\u202f#GartnerDA<\/u><\/a>.<\/p>\n

About<\/b>\u202f<\/b>Gartner for Data & Analytics Leaders<\/b>\u202f\u202f\u202f\u202f\u202f<\/b>\u00a0<\/b><\/p>\n

The Gartner for Data & Analytics Leaders provides objective and actionable insights for CDAOs and Data & Analytics leaders, helping them accelerate their D&A strategy and operating model to increase business value. Additional information is available at [link to Gartner for Data & Analytics Leaders].\u00a0https:\/\/www.gartner.com\/en\/data-analytics<\/a><\/u>. Follow the news and updates from Gartner for Data & Analytics Leaders atX<\/a><\/u>andLinkedIn<\/a><\/u> using #GartnerDA.<\/p>\n

About Gartner\u00a0\u00a0<\/b><\/p>\n

O\u00a0Gartner, Inc.<\/a><\/u><\/b>\u00a0delivers objective, actionable insights that drive smarter decisions and better performance for enterprises\u2019 mission-critical priorities. To learn more, visit\u00a0www.gartner.com<\/a><\/u>.<\/p>","protected":false},"excerpt":{"rendered":"

Aumento do volume de dados gerados por IA amea\u00e7a a confiabilidade futura dos Grandes Modelos de Linguagem At\u00e9 2028, 50% das organiza\u00e7\u00f5es implementar\u00e3o uma postura de\u00a0zero-trust\u00a0para a governan\u00e7a de dados devido \u00e0 prolifera\u00e7\u00e3o de dados n\u00e3o verificados gerados por\u00a0Intelig\u00eancia Artificial (IA), de acordo com o\u00a0Gartner, Inc., empresa de insights de neg\u00f3cios e tecnologia. \u201cAs organiza\u00e7\u00f5es […]<\/p>\n","protected":false},"author":12,"featured_media":99821,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[39,19],"tags":[9057,9056,9058],"class_list":["post-99817","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coluna-4","category-ultimas-noticias","tag-dados-nao-verificados-gerados-por-ia","tag-governanca-de-dados-zero-trust","tag-grandes-modelos-de-linguagem"],"acf":[],"yoast_head":"\nGartner prev\u00ea que, at\u00e9 2028, 50% das organiza\u00e7\u00f5es adotar\u00e3o governan\u00e7a de dados zero-trust, \u00e0 medida que cresce o volume de dados n\u00e3o verificados gerados por Intelig\u00eancia Artificial - ABES<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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