{"id":186878,"date":"2026-02-12T18:27:00","date_gmt":"2026-02-12T23:27:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/12\/nevada-unveils-policy-for-consistent-statewide-data-classification\/"},"modified":"2026-02-12T18:40:07","modified_gmt":"2026-02-12T23:40:07","slug":"nevada-unveils-policy-for-consistent-statewide-data-classification","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/12\/nevada-unveils-policy-for-consistent-statewide-data-classification\/","title":{"rendered":"Nevada unveils policy for consistent statewide data classification"},"content":{"rendered":"

Nevada unveils policy for consistent statewide data classification<\/a><\/p>\n

https:\/\/statescoop.com\/nevada-policy-consistent-statewide-data-classification\/<\/a><\/p>\n

Publish Date: 2026-02-12 18:27:00<\/a><\/p>\n

Source Domain: statescoop.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

Nevada\u2019s technology department on Wednesday announced a new policy aimed at uniformly classifying its data, a once arcane practice gaining celebrity in an age of AI and cyberattacks.<\/p>\n

Officials said the new \u201cproactive\u201d policy replaces inconsistent practices used across state agencies to categorize the sensitivity of various data, ranging from innocuous meeting notes to cybersecurity defense plans. Officials hope, a press release said, the standard will \u201celiminate the need for separate, bespoke data-sharing agreements\u201d and encourage more cross-agency work. But the chief motivation is keeping data secure: According to a video published by the Governor\u2019s Technology Office, the absence of proper data classification could risk residents\u2019 personal information being \u201chandled with the same low level of security of, say, a press release.\u201d<\/p>\n

A spokesperson from the technology department said the new policy was developed over the course of a year, by a group led by the state\u2019s chief data officer, Jason Benshoof. It contains four tiers of data sensitivity and an option for agencies to add subtiers. Information meant to be public, like meeting agendas, is \u201cpublic,\u201d internal communications and draft documents are \u201csensitive,\u201d Social Security numbers and financial information are \u201cconfidential\u201d and things like encryption keys or criminal history records are \u201crestricted.\u201d (According to the press release, the new policy does not affect what are considered public records, and that \u201cclassification tiers are for internal safeguarding and handling.\u201d)<\/p>\n

Nevada incurred a ransomware attack last May after a state employee unknowingly downloaded malware from a spoofed website. Michael Hanna-Butros Meyering, the technology bureau\u2019s communications chief, said that attack wasn\u2019t helpful, \u201cby any means, but it sure clarified the urgency\u201d of the data classification project that Benshoof had begun leading several months earlier. Meyering recalled Benshoof saying that the attack may have slowed the project. And Timothy Galluzi, the state\u2019s chief information officer, saw his time divided as he faced months of scrutiny from the public and state lawmakers after the attack was discovered last August.<\/p>\n

Meyering said that if agencies had been following a more uniform method of classifying their data, \u201ca lot of these accidents could have been fortified a little bit. The one lesson we got out of that [cyberattack] is if you don\u2019t know what\u2019s sensitive, you can\u2019t really protect it consistently. And if you can\u2019t set consistent vendor expectations either, that\u2019s kind of a problem.\u201d<\/p>\n

Data classification is also a growing concern for agencies beyond Nevada\u2019s borders, many of which are outfitting their staffs with software powered by data-hungry large language models. Martha Wewer, North Carolina\u2019s chief privacy officer and an avowed fan of data classification \u2014 \u201cno one is as passionate about data classification as I am\u201d \u2014 recently told this publication that her state\u2019s effort spans AI, data, cybersecurity and privacy roles.<\/p>\n

Chief data officers have for decades been alternately scolding and encouraging other agencies to inventory and classify their data, and though government leaders have in recent years become more interested in cleaning up their sprawling, messy troves, usually in hopes of tapping into AI, the number of states doing it properly may be limited. Itai Schwartz, chief technology officer at the data classification firm Mind, said the state government that conforms to a proper data classification scheme is \u201cnot very common at all. And I don\u2019t blame them. It\u2019s a really hard process to implement, even for a young innovative company.\u201d<\/p>\n

Schwartz said the aim of data classification is to \u201cput guardrails and protect data, regardless of who\u2019s getting access to it.\u201d The traditional cybersecurity model was to prevent intrusion, but included few internal safeguards once bad guys found a way inside. Present cybersecurity frameworks include more fallbacks and ways of limiting risk, such as only granting users access to the data and applications they need for their jobs. But to make such schemes work, sensitive data first needs to be identified and catalogued. \u201cReally,\u201d Schwartz said, \u201cthe last line of defense is how much the data is exposed within the organization.\u201d<\/p>\n

In Nevada, the data classification framework is the beginning of a cybersecurity revamp. Testifying before the legislature\u2019s interim finance committee last October, Galluzi, the state CIO, outlined and received approval for two projects designed to better secure the state\u2019s data: an expansion of the state\u2019s technical threat analysis program and a statewide security operations center. And according to the technology office\u2019s press materials, Nevada\u2019s data classification work \u201cserves as the foundation for forthcoming technical safeguards, including multi-factor authentication, enhanced logging, and encryption standards aligned with federal requirements.\u201d<\/p>\n

\t\t\tWritten by Colin Wood
\n\t\t\tColin Wood is the editor in chief of StateScoop and EdScoop. He’s reported on government information technology policy for more than a decade, on topics including cybersecurity, IT governance and artificial intelligence.<\/p>\n

colin.wood@statescoop.com<\/p>\n

Signal: cwood.64\t\t<\/p>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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