Law firm seeks lead plaintiff in Alarum Technologies securities case
The Law Offices of Howard G. Smith says investors with losses in Alarum Technologies can seek lead-plaintiff status in an ongoing securities fraud class action.
The Law Offices of Howard G. Smith says it is seeking a lead plaintiff in a securities fraud class action against Alarum Technologies, Ltd., involving investors who say they suffered losses in the company’s stock.
In an Aug. 27, 2026, press release, the firm said investors with substantial losses in Alarum, which trades under the ticker ALAR, should contact the firm before Oct. 5, 2026, the lead plaintiff deadline in the notice.
What the complaint alleges
The release says the complaint covers alleged misconduct from March 20, 2025, through July 2, 2026. It says the case alleges that Alarum and related defendants made materially false or misleading statements and failed to disclose adverse facts about the company’s business, operations and prospects.
According to the release, one allegation is that Alarum subsidiary NetNut linked customer home internet devices into another network without customer consent. The release says that activity allegedly allowed cyber criminals to hide their locations.
The notice says those alleged facts materially increased Alarum’s legal exposure and threatened its business prospects. It says investors were damaged when the true details entered the market.
What the firm said
The release says class members do not need to take action now. It says they may retain counsel or remain absent class members if they choose.
The press release also provides contact information for investors who want more information, including email, phone and website details.
What happens next
The next key date in the notice is Oct. 5, 2026, when the lead plaintiff deadline expires. The release does not describe any court ruling in the matter, and the allegations are those of the plaintiff-side filing described in the firm’s announcement.
Sources
Editorial note: This article was prepared with AI assistance and includes source attribution for reader review.
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