Law firm seeks lead plaintiff in Alarum securities fraud class action
A law firm said investors who bought Alarum Technologies securities during a stated class period may move to lead a securities fraud class action over allegations involving subsidiary NetNut.
Glancy Prongay Wolke & Rotter LLP says investors who lost money in Alarum Technologies securities may seek lead plaintiff status in a class action tied to alleged misconduct at subsidiary NetNut.
According to a PR Newswire release dated Aug. 28, 2026, investors who bought Alarum Technologies, Ltd. securities during a stated class period may seek to participate in a securities fraud class action. The release says any motion to serve as lead plaintiff must be filed by Oct. 5, 2026.
The release says no class has been certified yet, and the case remains in an early stage.
The complaint covers the period from March 20, 2025, to July 2, 2026, according to the release. It alleges defendants made materially false and/or misleading statements and omitted material adverse facts about the company.
The release identifies an Alarum subsidiary, NetNut, and says the complaint alleges it linked customer home internet devices into another network without customer consent. It also alleges the activity allowed cyber criminals to conceal their locations, increased Alarum’s legal exposure and threatened its business prospects.
The press release says investors suffered damages when the truth entered the market. It also says investors may retain counsel of their choice or remain absent class members if they bought securities during the class period.
Glancy Prongay Wolke & Rotter LLP is the law firm named in the release. The announcement includes contact details for investors, including an email address and phone numbers, and says those who qualify may seek appointment as lead plaintiff under the federal securities laws.
Investors who want to seek lead plaintiff status must file by Oct. 5, 2026, according to the announcement.
Sources
Editorial note: This article was prepared with AI assistance and includes source attribution for reader review.
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