{"id":232687,"date":"2026-06-16T11:28:00","date_gmt":"2026-06-16T15:28:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/16\/ai-adoption-correlates-with-incident-frequency-underscoring-need-for-governance\/"},"modified":"2026-06-16T11:30:09","modified_gmt":"2026-06-16T15:30:09","slug":"ai-adoption-correlates-with-incident-frequency-underscoring-need-for-governance","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/16\/ai-adoption-correlates-with-incident-frequency-underscoring-need-for-governance\/","title":{"rendered":"AI adoption correlates with incident frequency, underscoring need for governance"},"content":{"rendered":"

AI adoption correlates with incident frequency, underscoring need for governance<\/a><\/p>\n

https:\/\/www.cybersecuritydive.com\/news\/ai-cybersecurity-incidents-governance-jamf\/823026\/<\/a><\/p>\n

Publish Date: 2026-06-16 11:28:00<\/a><\/p>\n

Source Domain: www.cybersecuritydive.com<\/a><\/p>\n

Author: <\/a><\/p>\n

Using an unordered list, summarize the following article with between 4 and 8 key points. <\/p>\n

Dive Brief:<\/p>\n

More than one-fifth of organizations running macOS networks have lost money or experienced a cyberattack because of their use of AI tools, according to a report that network management vendor Jamf released on Tuesday.
\nRoughly six in 10 macOS-based organizations expect an AI-related incident in the near future, the survey found.
\nThe report, based on interviews with 687 IT and security leaders managing MacOS network environments, also describes system administrators\u2019 AI implementation priorities, the largest areas of risk they face and Jamf\u2019s recommendations for mitigating those risks.<\/p>\n

Dive Insight:
\nMacOS-based enterprises are overwhelmingly using AI, according to Jamf\u2019s report, with roughly 73% reporting that they have deployed it already and another 20% exploring deployments. But network administrators overseeing the adoption of AI face a range of dangers.
\nThe biggest and best-known risk is shadow AI, which refers to employees\u2019 use of unapproved and ungoverned AI tools. When \u201cIT is left in the dark about what AI systems are used,\u201d that \u201clack of visibility makes security and governance difficult, if not impossible,\u201d Jamf said.
\nAgentic AI is becoming popular within enterprises, but it carries risks, too. IT and security leaders said they struggled to deploy AI agents \u201cin a way that enables users without putting data at risk,\u201d according to the report. \u201cWith appropriate permissions, agentic AI opens serious risks to code bases if insecure or problematic code is added or necessary code is removed.\u201d
\nThe wide range of AI vendors also poses a problem for tech leaders in charge of acquisition. \u201cVetting and deploying each possible AI tool is time consuming and difficult for IT teams, especially at the speed AI is moving,\u201d Jamf said in its report.
\nAI\u2019s usage-based model also creates unwelcome surprises for organizations, a challenge magnified by a lack of governance that leaves IT supervisors unaware of how many paid licenses their organizations maintain and which tools are providing the best value for their cost.
\nManaging these challenges requires strong AI governance, but governance ranked third on survey respondents\u2019 list of priorities, after automating their IT management activities and using AI to improve workers\u2019 productivity. AI security improvements ranked fifth on the list.
\nGovernance will become more pressing for organizations as they adopt AI more extensively. Jamf\u2019s data highlights a correlation between the depth of an organization\u2019s use of AI and the likelihood that it has experienced an AI-related incident. The incident rate among organizations exploring AI was less than 20%, the low end of the scale, while the rate among organizations that have \u201cdeeply integrated\u201d AI into their workflows was 27%, the high end.
\nTo tamp down on AI risk exposure, Jamf recommended that organizations expand visibility through regular audits, focus on software governance rather than user governance (including through carefully enforced data-access policies), integrate governance from the earliest possible deployment stage and use built-in tools whenever possible for the most streamlined experience.<\/p>\n

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