Zedge, Inc.
For the period ended Apr 30, 2025. Filed Jun 13, 2025.
View on SEC.govAbout this filing
A company's report for each of its first three quarters. The financial statements are not audited. It shows how the business has moved since the last annual report, and what management says changed.
Apr 30, 2025 · Filed Jun 13, 2025
What changed in Risk Factors?
Read the current filingPrevious report: 10-Q
Period ended 2025-01-31; filed 2025-03-14.
0001213900-25-024149
Item 1A. Risk FactorsUnregistered Sales of Equity Securities and Use of ProceedsDefaults Upon Senior SecuritiesMine Safety DisclosuresCurrent report: 10-Q
Period ended 2025-04-30; filed 2025-06-13.
0001213900-25-054298
Item 1A. Risk FactorsUnregistered Sales of Equity Securities and Use of ProceedsDefaults Upon Senior SecuritiesMine Safety DisclosuresThe baseline is this issuer’s latest earlier reporting period of the same form that was filed before the current report. A previous 10-Q is a different quarter, not a year-over-year comparison. Amendments are excluded.
Compared 5 previous paragraphs and 21 current paragraphs.
3 unchanged; 2 reworded; 16 added; 0 removed; 0 previous and 0 current paragraphs rearranged.
Tables are not compared: 2 previous and 2 current tables excluded. Dates, whitespace, punctuation and numbering changes are ignored; changes to financial figures remain significant.
A changed paragraph is not evidence that risk increased or decreased. An unchanged paragraph does not establish that risk stayed the same.
Added paragraphs (16)
Current report
The deployment of AI technologies in our products and services may involve the collection, processing, and storage of personal data, potentially exposing us to heightened privacy and data protection risks. Non-compliance with data protection regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) could result in significant fines, legal actions, and reputational damage. Moreover, AI systems can inadvertently process sensitive information, leading to unauthorized disclosures or misuse of personal data. As regulatory frameworks evolve, we may incur increased costs to ensure compliance and adapt our AI systems accordingly.
Current report
AI models are susceptible to biases present in training data, which can lead to discriminatory outcomes. Such biases may result in unfair treatment of users or creators, potentially violating anti-discrimination laws and damaging our brand reputation. Addressing algorithmic bias requires ongoing efforts in data curation, model evaluation, and the implementation of fairness measures, which may increase operational complexity and costs.
Current report
AI systems can introduce new cybersecurity vulnerabilities, including susceptibility to adversarial attacks, model inversion, and data poisoning. Exploitation of these vulnerabilities could lead to unauthorized access to sensitive information, disruption of services, or manipulation of AI outputs. As cyber threats become more sophisticated, we must invest in advanced security measures and continuously monitor our AI systems to mitigate potential risks.
Current report
The regulatory landscape for AI is rapidly evolving, with new laws and guidelines emerging globally. Compliance with diverse and potentially conflicting regulations across jurisdictions may require significant resources and adjustments to our AI development and deployment practices. Failure to adhere to applicable laws could result in legal penalties, restrictions on our operations, and harm to our reputation.
Current report
The use of AI-generated content raises complex intellectual property (IP) considerations, including questions about ownership rights and potential infringement of third-party IP. Uncertainties in IP law regarding AI outputs may expose us to legal disputes and challenges in protecting our proprietary content. We may need to invest in legal expertise and adjust our content policies to navigate these complexities effectively.
Current report
Our increasing reliance on AI technologies for various operational aspects, such as content moderation, personalization, and user engagement, may pose risks if these systems fail or produce unintended outcomes. Technical issues, data inaccuracies, or system malfunctions could disrupt our services and negatively impact user experience. Ensuring the reliability and accuracy of AI systems requires ongoing maintenance, testing, and potential human oversight.
Current report
The deployment of AI technologies can raise ethical concerns, particularly if users perceive AI-driven decisions as opaque or unfair. Public scrutiny and negative perceptions regarding our use of AI could harm our brand and user trust. We must proactively address ethical considerations in our AI development processes and maintain transparency to mitigate reputational risks.
Current report
The specialized nature of AI development necessitates skilled personnel, and competition for such talent is intense. Challenges in attracting and retaining qualified AI professionals could impede our ability to innovate and maintain our AI systems effectively. We may need to offer competitive compensation and invest in training programs to build and sustain our AI capabilities.
Reworded paragraphs (2)
Previous wording
There are no material changes from the risk factors previously disclosed in Item 1A to Part I of the 2024 Form 10-K.
Current wording
Other than as set forth below, there are no material changes from the risk factors previously disclosed in Item 1A to Part I of the 2024 Form 10-K.
Previous wording
The following table summarizes the share repurchase activity for the second quarter of our fiscal 2025:
Current wording
The following table summarizes the share repurchase activity for the third quarter of our fiscal 2025 ended April 30, 2025: