Company: ALAR
Filing Date: 2025-03-20
Form Type: 20-F
Source: 0001213900-25-025287
Chunk: 10

Company: Alarum Technologies Ltd.
Filing Date: 2025-03-20
Form: 20-F
Item: Item 3
Chunk 10
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 growth. We expect to continue to expand our sales personnel and face a number of challenges in achieving our hiring and integration
goals. There is intense competition for individuals with sales training and experience. In addition, the training and integration of
a large number of sales personnel in a short time requires the allocation of internal resources. We invest significant time and resources
in training new sales force personnel to understand our solutions and growth strategy. Based on our past experience, it takes an average
of approximately six to nine months before a new sales force member operates at target performance levels. However, we may be unable
to achieve or maintain our target performance levels with large numbers of new sales personnel as quickly as we have done in the past.
Our failure to hire a sufficient number of qualified sales force members and train them to operate at target performance levels may materially
and adversely impact our projected growth rate.

If
our products fail to ensure customer compliance with government regulations and industry standards, our business and results could be
materially impacted.

The
legality of scraping publicly available web data was first upheld in late 2019, when the Ninth Circuit Court of Appeals ruled in hiQ
Labs, Inc. v. LinkedIn Corporation that scraping publicly accessible data did not violate the Computer Fraud and Abuse Act. This decision,
which favored hiQ Labs, Inc. over LinkedIn Corporation, reinforced the legality of accessing publicly available online data, despite
LinkedIn Inc.’s objections. The Ninth Circuit reaffirmed this ruling in April 2022, setting a critical precedent for data collection
practices involving publicly accessible information. However, as the web continues to evolve as a vast source of information, the debate
over data accessibility versus privacy is likely to intensify, as well as in connection with the way in which some of the automated software
programs are built, and changes in regulations may impact the means or ability to provide such solutions. For instance, X Corp. (formerly
Twitter) has filed several lawsuits against parties accused of scraping its platform without consent. Additionally, Meta Platforms, Inc.
v. Bright Data Ltd. is another significant case that could influence legal perspectives on this issue. In this case, Meta Platforms,
Inc. argues that scraping its publicly available data violates user agreements and intellectual property protections. As the web evolves
as a vast source of information, the debate over data accessibility versus privacy will likely intensify. This includes concerns over
how automated software programs are built, as well as the potential for changes in regulations that could affect the ability to provide