OAKBROOK TERRACE, Ill., Nov. 09, 2026 (GLOBE NEWSWIRE) — AI is now both a top cybersecurity concern and a major growth opportunity for IT service providers (ITSPs), according to new research from Global Technology Industry Association (GTIA).

GTIA’s Channel Trends in Cybersecurity research found that IT service providers in the North America and UK & Ireland communities are expanding their cybersecurity services, with AI shaping both their growth plans and their customers’ priorities.

Additionally, GTIA released its Q3 2026 Quarterly Cybersecurity Tracker, a separate resource focused on North America that identifies AI-generated attacks as customers’ leading cybersecurity concern and highlights uneven deployment of established protections.

“Concern about AI is giving providers an opening to help customers make practical security decisions,” said Carolyn April, Vice President, Research and Market Intelligence, GTIA. “That includes setting rules for how AI is used, protecting the data it relies on and identifying where existing security measures need to reach further. Providers can turn that concern into a clear action plan.”

Channel Trends in Cybersecurity: Providers See Opportunities to Expand

The Channel Trends in Cybersecurity research examines IT service provider perspectives across GTIA’s three global regions: North America, EMEA and APAC. Findings previewed today cover the North America and UK & Ireland communities, with findings for the Benelux, DACH, ASEAN and ANZ communities to follow later this year. Across the North America and UK & Ireland communities, more than three-quarters of respondents said they plan to add cybersecurity services or solutions over the next year.

Key findings from the North America Community include:

• Providers plan broader cybersecurity offerings. Some 76% plan to add new cybersecurity solutions over the next 12 months, compared with 65% in 2025. Areas showing notable increases include identity and access management, data protection and privacy, and AI-related cybersecurity solutions.
• AI creates opportunities beyond adding technology. Nearly 60% plan to add AI-related cybersecurity solutions. The research identifies AI governance, model and data security, and acceptable-use policies as opportunities for providers to develop new services.
• Cybersecurity is contributing to revenue growth. Half of respondents report revenue increases directly related to cybersecurity this year, with gains concentrated in identity, security management, cloud and data solutions.

In the UK & Ireland Community, the findings show:

• Awareness of the cybersecurity risks posed by AI is increasing. Nearly half (47%) of respondents identify generative AI’s use by cybercriminals as their top cybersecurity concern, compared with 37% in 2025.
• Service expansion remains a priority. Some 78% plan to add new cybersecurity services over the next year. AI-related services and data protection and privacy remain the leading categories. Plans to add cloud security services increased to 47%, compared with 33% in 2025.
• Data privacy and compliance lead growth expectations. Over the next 12 months, 46% of respondents expect this category to drive the greatest revenue growth, followed by cybersecurity consulting and risk assessments at 43% and agentic AI and other AI-related cybersecurity services at 42%.

Quarterly Cybersecurity Tracker: Strong Customer Demand with Room to Grow

Separately, GTIA’s Q3 2026 Quarterly Cybersecurity Tracker examines cybersecurity offerings, customer priorities and security practices among 309 IT service providers in North America.

The tracker found that 93% offer cybersecurity as a core or complementary service. Yet for each of the six security controls measured, fewer than half of providers report deployment to more than half their customers.

Key findings include:

• AI concerns are driving spending conversations. Some 51% of providers identify AI-generated attacks among their customers’ leading cybersecurity concerns. Attackers’ increasing use of AI is also the most frequently cited reason customers give for increasing cybersecurity spending, reported by 45% of providers.
• Key protections have room to reach more customers. Only 42% report deploying multifactor authentication on all critical systems for more than half of their customers. Just 35% report deploying immutable, air-gapped backups that broadly.
• Customer willingness to pay remains strong. Three-quarters of providers say customers are more willing to pay as cybersecurity costs increase, unchanged from Q2. Meanwhile, 35% cite a lack of budget commitment as the main customer resistance to increased spending, compared with 40% in the previous quarter.
• Cybersecurity helps win and keep clients. Some 87% of providers report gaining a client because they offer cybersecurity services, while 21% say they lost a client because of a cybersecurity incident in the past year.

Highlights from the research were shared in today’s keynote at GTIA ChannelCon EMEA, taking place Nov. 9-10 in London, with the full report to follow later this year.

The Q3 Quarterly Cybersecurity Tracker is available here.

About the Global Technology Industry Association   

The Global Technology Industry Association (GTIA) is the only vendor-neutral, 501(c)(6) nonprofit membership community connecting and representing the worldwide IT channel. We set our members up for success by providing benefits that include trusted resources and networking opportunities. In addition, the association sets industry standards that enable companies to build sustainable, secure, and profitable businesses in an ever-changing technology landscape. With The ASCII Group, which has served North American MSPs, MSSPs and solution providers since 1984, now part of GTIA, the association’s community continues to grow. Internationally, GTIA represents hundreds of thousands of professionals from nearly 4,000 ITSPs, vendors, distributors and other companies serving the IT channel.

For more information, visit gtia.org.

CONTACT: Media contact:
Suzanne Collier
WhiteFox Marketing for GTIA
suzanne@whitefoxpr.com

Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. TheTechOutlook.com takes no editorial responsibility for the same.

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Trifork Group AG
Company announcement no. 70/2026

Weekly report on share buyback

On 27 February 2026, Trifork initiated a share buyback program in accordance with Regulation No. 596/2014 of the European Parliament and Council of 16 April 2014 (MAR) and Commission Delegated Regulation (EU) 2016/1052, (Safe Harbour regulation). The share buyback program runs from 2 March 2026 up to and including no later than 31 December 2026. For details, please see company announcement no. 15 of 27 February 2026.

Under the share buyback program, Trifork will purchase shares for up to a total of DKK 75 million (approximately EUR 10 million).

Under the program, the following transactions have been made:

A detailed overview of the daily transactions can be found here: https://investor.trifork.com/trifork-shares/.

With the transactions stated above, the total accumulated amount of treasury shares acquired under the current share buyback program corresponds to 3.2% of the share capital of Trifork Group AG. Trifork Group owns 892,672 treasury shares in total, corresponding to 4.5% of the share capital.

Investor & Media contact
Frederik Svanholm, Group Investment Director, frsv@trifork.com, +41 79 357 7317

About Trifork Group
Trifork (Nasdaq Copenhagen: TRIFOR) is a global technology company specializing in designing, building, and operating advanced software for enterprise and public sector customers. With 1,122 FTEs across 16 countries, Trifork serves as an end-to-end technology partner to organizations in complex and regulated industries, including public administration, healthcare, financial services, energy, and aviation.
Learn more at trifork.com.

Attachment

• CA_70_2026_Buyback

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Summary Comments for Second Quarter of Fiscal Year 2027 (all financial comparisons are to Second Quarter of Fiscal Year 2026)

• Smart Guardian Eye project begins live AI video monitoring on the acceptance of the initial stage of Phase I by the Hsinchu County government in Taiwan
• Plato development remains on schedule for March 2027 tape-out and we continue to receive outside interest based on the disclosed preliminary performance and power savings findings
• Net revenue of $6.0 million, within Company’s guidance range of $5.7 to $6.5 million
• Increase in operating expense year-over-year is primarily related to ongoing Plato chip design consultants, commercialization of Gemini-II and non-recurring legal and other professional fees associated with an internal assessment completed in the quarter
• Quarter-end cash balance of $69.2 million reflecting spending on Plato development and a non-routine SG&A expense relating to our Taiwan manufacturing operations

Lee-Lean Shu, Chairman and Chief Executive Officer, stated, “In the second quarter of fiscal 2027, we made significant progress on several fronts, including the successful completion and acceptance of the initial stage of Phase I of our Smart Guardian Eye project, which is now providing live video monitoring and interpretive incident reporting. Our software development team is conducting an internal trial and validation of the alpha version of our AI-assisted software development kit (SDK), designed to simplify the process of porting existing AI models to our APU platform. We anticipate releasing a beta version to our initial customers before the end of December 2026. This will enable a broader range of prospective customers and partners to evaluate our technology using their own AI models, support multiple simultaneous evaluations, and expand our market reach through system integrators, helping to accelerate commercialization across a wider range of applications.”

Mr. Shu continued, “Looking ahead to the remainder of fiscal 2027, we are focused on achieving the following milestones: submitting our proposal for Phase II of the Smart Guardian Eye project, advancing the AI-assisted SDK toward commercial release in the first half of calendar year 2027, completing the tape-out of Plato in March 2027, with first-spin chips targeted for initial sampling by late summer of calendar year 2027, and securing a strategic partner who could expand our capabilities to enter new markets where we lack resources to pursue on our own. Achieving these milestones would enable us to expand the commercialization of Gemini-II in calendar year 2027, and position Plato for adoption across a broader range of AI applications.”

Commenting on the outlook for GSI’s third quarter of fiscal 2027, Mr. Shu stated, “Our current expectation for the third quarter of fiscal 2027 is for net revenues in the range of $5.0 million to $6.0 million, with gross margin of approximately 38% to 40%.

“To address higher manufacturing costs, the Company plans to implement price increases immediately for new orders and effective January 1, 2027, for existing customer backlog. Management anticipates that these adjustments, together with improved product availability, will support a recovery in revenue and gross margin beginning in the fourth quarter of fiscal 2027,” concluded Mr. Shu.

Second Quarter Fiscal Year 2027 Summary Financials

The Company reported net revenues of $6.0 million for the second quarter of fiscal 2027, compared to $6.4 million for the second quarter of fiscal 2026 and $6.3 million for the first quarter of fiscal 2027. Net revenues were within the Company’s guidance range of $5.7 million to $6.5 million. Gross margin was 48.5% in the second quarter of fiscal 2027 compared to 54.8% in the second quarter of fiscal 2026 and 53.4% in the first quarter of fiscal 2027.

Gross margin was below the Company’s guidance of approximately 53% to 55%, and decreased year-over-year, primarily due to an unfavorable product mix and higher manufacturing costs resulting from supply chain constraints for wafers and outsourced assembly, burn-in and test operations. We are currently reviewing our manufacturing costs and intend to pass on any cost increases to our customers when it makes sense to do so.

Below is a breakdown of the second quarter of fiscal 2027 sales compared to the second quarter of fiscal 2026 and the first quarter of fiscal 2027:

• KYEC represented $1.2 million, or 19.7% of net revenues, compared to $802,000, or 12.4% of net revenues, in the same period a year ago and $1.0 million, or 16.1% of net revenues, in the prior quarter.
• Nokia represented $376,000, or 6.2% of net revenues, compared to $200,000, or 3.1% of net revenues, in the same period a year ago and $307,000, or 4.9% of net revenues, in the prior quarter.
• Military/defense sales were 46.7% of second quarter shipments, compared with 28.9% in the comparable period a year ago and 31.3% in the prior quarter.

Total operating expenses in the second quarter of fiscal 2027 were $10.4 million, compared to $6.7 million in the second quarter of fiscal 2026 and $8.8 million in the prior quarter.

• Research and development expenses were $6.0 million, compared to $3.8 million in the prior-year period and $5.9 million in the prior quarter. The year-over-year increase in research and development expenses during the second quarter of fiscal 2027 was driven primarily by external design services related to the development of our next-generation Plato processor, which are expected to continue until the completion of the Plato tape-out in March 2027. The increase was partially offset by higher government funding under our SBIR programs, which totaled $556,000 this quarter compared with $279,000 in the prior-year period and $336,000 in the prior quarter.
• Selling, general and administrative expenses were $4.3 million in the quarter ended September 30, 2026, compared to $3.0 million in the prior year quarter and $2.9 million in the previous quarter. The increase this quarter was primarily due to approximately $2.0 million of non-routine legal and other professional fees incurred in connection with the internal assessment of certain vendor matters within our foreign operations, which was concluded during the quarter. These fees were partially offset by $600,000 of a gain from assets received in a vendor settlement, resulting in a net impact of approximately $1.4 million. We do not expect to incur significant additional expenses related to these matters. 

Second quarter fiscal 2027 operating loss was $7.4 million compared to an operating loss of $3.2 million in the prior-year period and an operating loss of $5.4 million in the prior quarter. Second quarter fiscal 2027 results included interest and other income of $569,000 and a tax provision of $155,000, compared to interest and other income of $43,000 and a tax provision of $41,000 for the same period a year ago and interest and other income of $517,000 and a tax benefit of ($76,000) in the prior quarter.

Net loss in the second quarter of fiscal 2027 was $7.0 million, or $(0.18) per diluted share, compared to a net loss of $3.2 million, or $(0.11) per diluted share, for the second quarter of fiscal 2026 and a net loss of $4.8 million, or $(0.13) per diluted share, for the first quarter of fiscal 2027.

Total second quarter pre-tax stock-based compensation expense was $1.1 million compared to $856,000 in the comparable quarter a year ago and $887,000 in the prior quarter.

Cash flows for the quarter ended September 30, 2026 (in thousands of dollars): 

The decrease in cash and cash equivalents as of September 30, 2026, primarily reflects cash used in operating activities, which includes spending for the development of Plato and commercialization of Gemini-II and non-routine expenses related to the internal assessment discussed above.

On September 30, 2026, the Company had $69.2 million in cash and cash equivalents, compared to $67.2 million at March 31, 2026. Working capital was $73.8 million as of September 30, 2026, versus $70.0 million at March 31, 2026. Stockholders’ equity as of September 30, 2026, was $86.2 million, compared to $81.8 million as of the fiscal year ended March 31, 2026.

Conference Call

Management will conduct a conference call to review the Company’s financial results for the second quarter of fiscal year 2027, and its current outlook for the third quarter of fiscal 2027 at 1:30 p.m. Pacific Time (4:30 p.m. Eastern Time) today.

To participate in the call, please dial 1-833-862-0559 in the U.S. or 1-412-634-6358 for international approximately 10 minutes prior to the above start time and provide Conference ID 10212807. The call will also be streamed live via the internet at www.gsitechnology.com.

A replay will be available from November 5, 2026, at 7:30 p.m. Eastern Time through November 12, 2026, at 11:59 p.m. Eastern Time by dialing 1-844-512-2921 in the U.S. or 1-412-317-6671 for international and providing Access ID 10212807. A webcast of the call will be archived on the Company’s investor relations website under the Events and Presentations tab.

About GSI Technology

GSI Technology is at the forefront of the AI revolution with our groundbreaking APU technology, designed for unparalleled efficiency in billion-item database searches and high-performance computing. GSI’s innovations, Gemini-I® and Gemini-II®, offer scalable, low-power, high-capacity computing solutions that redefine edge computing capabilities.

GSI Technology is headquartered in Sunnyvale, California, and has sales offices in the Americas, Europe, and Asia. For more information, please visit www.gsitechnology.com.

Forward-Looking Statements

The statements contained in this press release that are not purely historical are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding GSI Technology’s expectations, beliefs, intentions, or strategies regarding the future. These forward-looking statements include, among others, statements regarding our product roadmap and commercialization milestones for Gemini-II and Plato, including the timing of the Plato tape-out and sampling of first-spin chips and our ability to secure a strategic partner for Plato; the timely development and release of our AI-assisted SDK, including the timing of its alpha and commercial releases, and market adoption of related tools; risks associated with our use of artificial intelligence tools in our research and development activities, including the risk that such tools produce inaccurate, defective or infringing outputs, compromise the confidentiality of our proprietary information, or fail to deliver anticipated efficiencies; our pursuit of initial design wins in defense and select commercial edge deployments; the timing and successful completion of proof-of-concept programs, including Phase I of our Smart Guardian Eye project and our planned proposal for Phase II; anticipated benefits from government proof-of-concept engagements and related funding, including under our SBIR programs; our expectations regarding future revenue and gross margin, including the guidance provided for our third quarter of fiscal 2027, demand for our SRAM solutions, and customer mix; our ability to pass manufacturing cost increases on to our customers; our expectations regarding costs associated with the internal assessment; and the interpretation and applicability of third-party benchmark results and energy/performance characteristics of our products. All forward-looking statements included in this press release are based upon information available to GSI Technology as of the date hereof, and GSI Technology assumes no obligation to update any such forward-looking statements. Forward-looking statements involve a variety of risks and uncertainties, which could cause actual results to differ materially from those projected. These risks include those associated with the normal quarterly and fiscal year-end closing process. Examples of risks that could affect our current expectations regarding future revenues and gross margins include those associated with fluctuations in GSI Technology’s operating results; GSI Technology’s historical dependence on sales to a limited number of customers and fluctuations in the mix of customers and products in any period; supply constraints and cost increases for wafers and outsourced assembly, burn-in and test services, and our ability to pass such costs on to customers; global public health crises that reduce economic activity; the rapidly evolving markets for GSI Technology’s products and uncertainty regarding the development of these markets; the need to develop and introduce new products to offset the historical decline in the average unit selling price of GSI Technology’s products; the risk that proof-of-concepts, pilot programs, or benchmark validations do not translate into design wins, purchase orders, or revenue, including with respect to our Smart Guardian Eye project and our defense and aerospace-related programs such as our radiation testing initiatives; the comparability and generalizability of third-party benchmark results and energy/performance metrics across different configurations and use cases; intensive competition; the availability, timing and continuity of government funding opportunities; delays or unanticipated costs that may be encountered in the development of new products based on our in-place associative computing technology (including Gemini-II and Plato) and the establishment of new markets and customer and partner relationships for the sale of such products; the outcome of, and any further costs, remediation or consequences arising from, the internal assessment of matters within our foreign operations; and delays or unexpected challenges related to the establishment of customer relationships and orders for GSI Technology’s radiation-hardened and tolerant SRAM products. Many of these risks are, and may continue to be, amplified by economic and geopolitical conditions, such as changing interest rates, worldwide inflationary pressures, policy unpredictability, the imposition of tariffs and other trade barriers, military conflicts, particularly in relation to Taiwan, and challenges in the global economic environment. Further information regarding these and other risks relating to GSI Technology’s business is contained in the Company’s filings with the Securities and Exchange Commission, including those factors discussed under the caption “Risk Factors” in the Company’s most recent Annual Report on Form 10-K and subsequent Quarterly Reports on Form 10-Q.

Source: GSI Technology, Inc.

Contacts:

Investor Relations:

Hayden IR
Kim Rogers
385-831-7337
kim@haydenir.com

Media Relations:

Finn Partners for GSI Technology
Ricca Silverio
415-348-2724
gsi@finnpartners.com

Company:

GSI Technology, Inc.
Douglas M. Schirle
Chief Financial Officer
408-331-9802

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LEHI, Utah, Nov. 05, 2026 (GLOBE NEWSWIRE) — Universal Business Computing Company (UBCC), the leading provider of high-volume, high-productivity payroll and accounting software, today announces the launch of UBCC HRM, a new browser-based human resources management platform designed to help independent payroll processors and accounting firms expand their service offerings with affordable, modern HR technology.

“As technology becomes more accessible, payroll expertise, functionality and customer service are becoming more important competitive advantages,” said Armaven Pogosyan, owner of UBCC. “Independent payroll processors bring valuable knowledge of payroll and HR regulations to the businesses they serve. Our goal is to give them affordable, modern technology that complements that expertise, allowing them to compete with much larger providers while maintaining the personalized service that sets them apart.”

As payroll and HR requirements become more complex, businesses are relying on payroll professionals to manage processes that require specialized knowledge. UBCC HRM builds on the company’s established payroll processing technology, which is designed to handle complex payroll requirements, while introducing browser-based HR capabilities that allow independent providers to expand their services without replacing their existing systems.

Key features and benefits include:

• New revenue opportunities: Enables payroll service bureaus to offer HRM to their clients, set their own pricing and generate additional recurring revenue.
• Employee self-service: Streamlines onboarding, including W-4 and I-9 documentation, and provides employees with access to their pay history.
• Time tracking and approvals: Allows employees to record working hours and managers to review and approve timesheets before payroll processing.
• Improved payroll efficiency: Helps reduce repetitive administrative tasks while allowing processors to continue using UBCC’s established payroll workflows.

The platform is already in use by payroll processors, with additional features and enhancements being introduced regularly. Client-specific HR training manuals and videos, along with Work Opportunity Tax Credit (WOTC) processing capabilities, are currently in beta testing and expected to be available soon.

“UBCC has spent decades developing payroll technology that our customers rely on every day,” added Pogosyan. “We’re building on that foundation with modern capabilities that help our customers work more efficiently and offer additional services. HRM is an important step in that process, and we plan to continue expanding what the platform can do.”

For more information about UBCC HRM or to schedule an introductory demonstration, visit https://partners.ubcc.com/.

About Universal Business Computing Company
Founded in 1981, UBCC is a provider of high-volume, high-productivity payroll and accounting software for payroll and accounting professionals. UBCC offers four different packages to professional accounting firms, payroll service bureaus and commercial businesses: Client Data Center, Payroll Service Bureau, PEO Enterprise and Real-Time Accounting for Business. Modules include unified payroll, general ledger, accounts payable, accounts receivable, bank reconciliation, depreciation, order billing, inventory management and job management. Technical support and customer service are available 24/7. For more information, call toll-free 800-827-8610 or visit www.ubcc.com.

Media Contact
Vicki LaBrosse
Edge Marketing for UBCC
vlabrosse@edgemarketinginc.com
651.528.9445

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DENVER, CO, Nov. 04, 2026 (GLOBE NEWSWIRE) — Rank One Computing Corporation d/b/a ROC (Nasdaq: ROC) (“ROC” or the “Company”), a U.S. leader in Vision AI, building unified biometric, video analytics, and digital evidence solutions, today announced that it has received ISO/IEC 27001 certification of its information security management system (“ISMS”) from an independent certification body accredited by the ANSI National Accreditation Board (“ANAB”). The certification covers the ISMS supporting the development, delivery, and operation of ROC’s software products, SaaS offerings, and supporting cloud infrastructure.

“Security and privacy are fundamental to ROC and align with how enterprise and government customers evaluate and procure technology,” said ROC Chief Operating Officer Blake Moore. “ISO 27001 is an independent validation of how we manage information security risk and protect sensitive data. It can also help reduce a potential procurement barrier as we scale ROC’s technology across regulated markets and other sectors with demanding security requirements.”

Achieving ISO 27001 certification provides the Company with independent validation of the security governance, risk management, and data-protection controls supporting ROC’s technology infrastructure. For ROC’s core enterprise and government customers, ISO 27001 provides a well-recognized security baseline that can streamline vendor-risk assessments and procurement reviews by demonstrating that ROC maintains an independently audited ISMS for managing sensitive information and security risk.

“Independent NIST evaluations of ROC’s algorithm performance and ISO 27001 certification of its information security management system provide complementary assurance. Together, these assessments can strengthen customer confidence in both the performance and governance of ROC’s technology,” added Mr. Moore.

ISO 27001 requires organizations to establish, maintain, and continually improve an information security management system addressing areas including risk assessment, access controls, incident response, business continuity, vendor management, and data protection. ROC believes the certification will strengthen its competitive position as it expands SaaS and Vision AI solutions into regulated markets where biometric, identity, and other sensitive data are subject to rigorous security and privacy requirements. The certification is valid for three years, subject to annual surveillance audits, and does not guarantee that security incidents will not occur.

About ROC

ROC is a leading U.S. developer of Vision AI, delivering sovereign biometrics, video analytics, and digital evidence through a unified platform. This enables agency and integrator partners to unlock faster, more accurate, and cost-efficient capabilities. At its core, ROC transforms raw pixels into real-time operational awareness for defense, public safety, and digital commerce. The Company is headquartered in Denver, Colo., with additional hubs in Grand Rapids, Mich., and Morgantown, W.Va. For more information, please visit the Company’s website: www.roc.ai.

Forward-Looking Statements

This press release may contain forward-looking statements. These statements are made within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, and are intended to be covered by the “safe harbor” provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates,” “confident,” “may,” “could,” “should,” “would,” “potential,” “continue,” and similar expressions that predict or indicate future events or trends, although not all forward-looking statements contain these identifying words. The Company may also make written or oral forward-looking statements in its periodic reports to the U.S. Securities and Exchange Commission (the “SEC”), in its annual report to shareholders, in press releases and other written materials, and in oral statements made by its officers, directors, or employees to third parties. Statements that are not historical facts, including statements about the Company’s beliefs and expectations, are forward-looking statements. Forward-looking statements in this press release include, without limitation, statements regarding the expected benefits of the Company’s ISO/IEC 27001:2022 certification, including its anticipated effect on customer security reviews and procurement processes, the Company’s competitive position, and the Company’s plans to expand its SaaS and Vision AI solutions into regulated markets. Forward-looking statements involve inherent risks and uncertainties. Therefore, caution must be exercised in relying on forward-looking statements as a number of factors could cause actual results to differ materially from those contained in any forward-looking statement, including but not limited to the following: (i) the Company’s goals and strategies; (ii) the Company’s future business development, financial condition, and results of operations; (iii) the Company’s ability to maintain its ISO/IEC 27001 certification through annual surveillance audits and recertification; (iv) the extent to which current and prospective customers value or rely on ISO/IEC 27001 certification, or instead require other or additional certifications, authorizations, or compliance requirements, such as FedRAMP, GovRAMP, CMMC, or the CJIS Security Policy; (v) cybersecurity incidents, breaches, or other failures of the Company’s systems or controls, which certification does not prevent; (vi) competition, including the possibility that competitors hold the same or more extensive certifications; (vii) the Company’s ability to successfully commercialize its SaaS offerings and expand into regulated markets; and (viii) changes in laws, regulations, and industry standards governing biometric information, artificial intelligence, privacy, and data security. Further information regarding these and other risks is included in the Company’s filings with the SEC, including under the heading “Risk Factors” in the Company’s Annual Report on Form 10-K for the year ended December 31, 2025, and subsequent Quarterly Reports on Form 10-Q, which are available at www.sec.gov and on the Company’s investor relations website. All information provided in this press release is provided, and the forward-looking statements included herein are made, solely as of the date of this press release, and the Company undertakes no obligation to revise or update any forward-looking statement, whether as a result of new information, future events, or otherwise,, except as required under applicable law.

Media inquiries:
Matt Aitken, VP of Marketing
media@roc.ai

Investor inquiries:
CORE IR
ir@roc.ai

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NEW YORK AND SYDNEY, Nov. 03, 2026 (GLOBE NEWSWIRE) — Helm, the international private markets operating system backed by iAltA, today announced it has expanded into Sydney to support its growth across Australia and New Zealand.

The expansion establishes a local presence for Helm as product manufacturers, wealth firms and service providers across the region increasingly seek more efficient ways to structure, distribute and manage private market investments. James Wilkinson, former General Manager at iPartners, will lead Helm in the region.

Private markets are continuing to grow in scale across asset classes, investment structures and distribution channels, creating new opportunities for end investors but adding complexity for the firms that serve them. In Australia and New Zealand, that evolution is increasing the need for enterprise-grade infrastructure that can connect historically fragmented processes and point solutions across the investment lifecycle.

“Australia has developed a sophisticated and rapidly evolving private markets ecosystem, and we see a significant opportunity to support those firms that are broadening access to private markets,” said Gareth Lewis, Chief Business Officer of Helm. “Establishing a local presence allows us to work more closely with clients and partners in the region and bring technology and expertise that can help them manage the increasing complexity of private market investing.”

Helm helps private market participants reduce that complexity by connecting product and distribution with investor onboarding, transaction workflows and reporting. Its configurable technology is designed to help firms build.

The expansion to Sydney will give Helm an on-the-ground presence to work with clients and partners and build relationships across the Australian and New Zealand private markets ecosystem.

“Australia and New Zealand represent an exciting opportunity for Helm because of both the maturity of the wealth channel and the growing advisor and investor interest in private markets,” Wilkinson said. “Having a team on the ground means we can combine Helm’s global capabilities with a real understanding of how firms here operate, what their clients expect and simplify their processes to operate more efficiently so they can focus on what they do best.”

About Helm

Backed by iAltA, Helm is a private markets operating system that helps product manufacturers and investment firms simplify capital raising and investor workflows. Supporting a range of use cases, Helm is designed to reduce operational friction and improve the delivery of private market offerings to investors. Visit www.helmmarkets.com

About iAltA

Launched in 2025 by founding partners Scott Ganeles, Bill Sherman, Bill Crager, and Laurence Tosi, iAltA is a holding company founded by experienced operators to address systemic gaps in private markets infrastructure. Incubated and backed by WestCap, iAltA builds platforms that unify fragmented workflows, elevate transparency, and empower product manufacturers and investment firms throughout the investment lifecycle. Visit www.ialta.com

CONTACT: Media Contact

For Helm

Ray Hennessey
VOCATUS
rh@vocatusllc.com

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DOVER, Del., Nov. 03, 2026 (GLOBE NEWSWIRE) — Phrasly, an AI writing platform used by more than 5 million people, has released a free AI image detector that identifies AI generation in artwork and photos.

Generated images have reached the point where most people cannot identify them simply by looking at them. In a 2025 experiment by Microsoft’s AI for Good Lab, more than 12,500 participants were shown a mix of real photographs and AI-generated ones, and identified them correctly 62 percent of the time. With AI improving by the minute, expect those percentages to drop significantly in the coming months.

The industry’s answer has been to mark AI images at the source, with invisible watermarks and signed records written into the file. That holds up until someone takes a screenshot. The images that do the most damage are usually the ones that arrive carrying nothing at all, and that is exactly what Phrasly’s detector is for.

What Is the Phrasly AI Image Detector?

The detector returns three things on any image: a verdict on whether AI was involved, a confidence score, and a heatmap marking the areas it is reacting to. It is free to use, requires no account, and checks each image in memory rather than storing it.

It accepts JPG, PNG, WebP, HEIC, AVIF, and GIF files up to 20 MB, by upload, drag and drop, paste, or image link. It is the first detection tool Phrasly has built for images, alongside its AI text detector.

Why a Watermark Was Never Going to Be Enough

Watermarks and metadata come off by accident as often as on purpose. A screenshot removes them, as does a re-upload or a copy saved from a social feed. Many generators never add them in the first place.

So Phrasly trained its own model instead, on millions of real photographs and AI images from every major generator. The model reads the picture itself, so it does not depend on anything the file happens to carry.

In Phrasly’s own testing it is over 99 percent accurate with or without a watermark, on images from ChatGPT and DALL-E, Gemini, Midjourney, Stable Diffusion, FLUX, Adobe Firefly, and others.

“A year ago most people could still spot an AI image if they looked closely enough,” said Victor Rijo, CEO at Phrasly. “That is no longer true, and by the time an image reaches the person who has to make a decision about it, it has been screenshotted and reposted enough times that whatever proof was in the file is gone. We built the detector to read the picture itself, because that is the part that survives.”

What Every Scan Checks

Every scan runs three checks.

The first is Phrasly’s own model, which reads the image directly. This is the check that still works once everything else has been stripped away.

The second is SynthID, an invisible watermark developed by Google DeepMind and applied by Google and OpenAI to images from their tools. When it is present, the verdict is conclusive.

The third is AI signatures. ChatGPT, Gemini, Adobe Firefly, Copilot, and FLUX sign the images they produce, and Phrasly verifies each signature against the official C2PA trust list.

Where the file carries nothing, the result rests on the model alone and the confidence score reflects how certain it is. Every check appears beside the verdict, so a reader can see which kind of answer they are looking at.

Catching the Photos That Are Only Partly AI

The harder case is the image that is only partly generated. Most pictures in circulation were not made from nothing. They are real photographs with one element changed: a swapped background, an added object, a retouched face. A verdict on the whole image is of little use there, because the honest answer is both.

Phrasly returns a heatmap instead, marking the area that was generated so a reader can look straight at it. The same model handles screenshots and re-uploads, which have lost their metadata entirely and were never going to be identified any other way.

Who Phrasly Built It For

The detector is built for anyone who needs to know an image is real before acting on it. That includes journalists checking a photograph before it runs, teachers reviewing artwork handed in as original work, moderators clearing listings and profile pictures, and buyers deciding whether the product in a photo actually exists.

What they share is the same risk. A wrong call means publishing something false, grading work that was never done, or paying for something that was never there. At the far end it means a fabricated image spreading as evidence during breaking news, standing behind an accusation against someone who was never there, or driving a scam that works because a photograph used to settle the question.

The check runs both ways, exposing an image that was generated and confirming one that was not.

Availability

The Phrasly AI Image Detector is available now at no cost, with no sign-up and no limit on the number of images. It accepts JPG, PNG, WebP, HEIC, AVIF, and GIF files up to 20 MB, by upload, drag and drop, paste, or image link, and each image is checked in memory rather than stored. The product page also presents four photographs and invites readers to identify the AI ones before showing what Phrasly found in each.

About Phrasly

Phrasly is an AI writing and detection platform used by more than 5 million people in over 180 countries. Its tools include the AI Humanizer, AI Detector, AI Image Detector, Plagiarism Checker, Content Generator, and the Phrasly Docs editor. Phrasly builds its detection and humanization models in house rather than running on another provider’s API. Phrasly, LLC is based in Dover, Delaware. Learn more at https://phrasly.ai

CONTACT: Contact Information:
Phone: 302-203-9836
Email: support@phrasly.ai

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Boston, MA, Nov. 02, 2026 (GLOBE NEWSWIRE) — LinearB, a Leader in the 2026 Gartner Magic Quadrant for Developer Productivity Insight Platforms, today launched Agentic Studio, a key part of the next generation of developer productivity platforms.

Historically, productivity platforms gave engineering leaders metrics. LinearB now turns everything happening across software delivery into context that people and agents can consume and act on. Engineering leaders ask questions in plain language and get answers and next steps. They define the context surface with role-based access built in, and AI assistants help extend that context and build metrics, artifacts and dashboards. Coding agents receive that context, so they understand their task and environment better and make smarter decisions.

In LinearB’s Agentic Studio, the AI assistant builds a custom metric from a plain-language request.

Acting on that context matters more than ever. LinearB’s 2026 AI benchmarks, covering 2.7 million pull requests across more than 250 organizations, show that developers who use AI most heavily nearly doubled their merged pull requests year over year. Yet the software factory faces new problems. In LinearB’s 2026 Software Engineering Benchmarks Report, AI-assisted pull requests were 2.6 times larger than unassisted ones at the 75th percentile, and agent pull requests waited more than five times longer for review.

LinearB founders Ori Keren and Dan Lines. 

“Context is the new king,” said Ori Keren, CEO and co-founder of LinearB. “We realized we hold a knowledge graph that nobody else has of everything happening across the software delivery lifecycle, and that’s exactly what agents and teams need to deliver high quality software, faster. So we rebuilt LinearB around it.”

LinearB’s effort skill, now in early access, matches a coding agent’s effort to the task. It gauges a change’s business relevance, complexity and risk using the code quality in the area, recent service incidents and ownership history. Low risk changes use less effort and fewer tokens. Complex, risky or high priority changes get more effort and careful, tested edits. More skills are on the way, focused on accelerating downstream stages of the software factory, such as review and merge.

In LinearB’s Agentic Studio, the AI assistant traces a cycle time spike to review delays and flags agent-opened PRs that have waited longest.

Kraken used LinearB’s MCP server with AI to find what was really slowing its code reviews. The answer wasn’t large changes. It was time zones and reviewer availability. Kraken cut review time at the 90th percentile by more than half in four months. “That’s the structural shift,” said Nik Sudan, engineering operations lead at Kraken. “It moves leaders from anecdote-driven to evidence-driven.”

The Agentic Studio is available now to all LinearB customers. Agent skills are available in early access.

Why it matters now
Engineering leaders have more data than ever and less time to use it. Boards and CFOs now ask whether AI spend is paying off, and a dashboard full of numbers doesn’t answer that. At the same time, coding agents write more of the code, and they start every task knowing nothing about the codebase’s history.

Productivity platforms have always been good at measuring. The next step is turning what they measure into action. That means answers for the people running engineering, and context for the agents doing more of the work.

What LinearB does
LinearB collects data from across the software delivery lifecycle and makes it usable. It normalizes data from different Git and project management systems into one model, matches each engineer’s identities across tools, and links every change from ticket to release. It adds AI attribution and industry benchmarks, so leaders can tell whether a number is good or bad.

The engineering context layer delivers that knowledge to people and to agents.

Engineering leaders ask questions in plain language, like where delivery is stuck, how their developers are doing and whether AI is paying off. Instead of reading a chart, they get an answer and a next step. They can build their own metrics and pull the same context into AI tools like Claude through MCP.

Coding agents get the same context through MCP and agent skills. The first skill, now in early access, matches an agent’s effort to the task. It checks how complex and risky a change is, using the code’s rework rate, recent incidents and ownership history. Simple, low risk changes use less effort and fewer tokens. Complex or risky changes get more effort and careful, tested edits, which raises quality where it matters most. The skill works with any coding agent, and leaders can see how often agents were routed to low, medium and high effort.

The platform is built for the enterprise, with role based access and guardrails on what agents can do.

Journey and milestones
LinearB started by giving engineering leaders visibility into how their teams deliver software. Years of integration work across the software delivery lifecycle gave it one of the largest datasets on how engineering teams work. Its 2026 Software Engineering Benchmarks Report drew on more than 8.1 million pull requests from 4,800 engineering teams in 42 countries. As AI coding tools spread, LinearB added AI attribution and connected to more of the tools teams use.

In 2026, Gartner named LinearB a Leader in its first Magic Quadrant for Developer Productivity Insight Platforms, for both its ability to execute and its completeness of vision. Early customer response to the context layer is strong. The AI assistant and MCP access show the highest user retention of any features LinearB has released.

“These are exciting times to rethink our role in the software ecosystem,” said Ori Keren. “Everyone else is focused on writing code. We realized we hold a knowledge graph of everything happening across the software delivery lifecycle, and that’s exactly what developers and agents need. So we rebuilt LinearB around it. We don’t build the software factory. We instrument it, so leaders know what to do next and agents make smarter decisions on every change.”

“For years, engineering leaders told us the same thing. Metrics are useful, but they don’t tell you what to do,” added Dan Lines, co-founder and COO of LinearB. “A dashboard says your cycle time is two days. So what? Now a leader can ask what to improve in their engineering organization and get a clear answer. And when that same context goes to coding agents, the platform isn’t just reporting anymore. It’s acting.”

Market trends
LinearB’s 2026 AI benchmarks, built from 2.7 million pull requests and 83,000 developers across 253 engineering organizations between February and May 2026, show why measuring AI isn’t enough on its own. The teams pulling ahead are the ones acting on what they learn.

• Heavy AI users are pulling away. The typical developer who uses AI on at least 75% of coding days merged 96% more pull requests per week than a year earlier. The typical developer using no AI merged 3.6% fewer.
• Adoption is shallower than the hype suggests. Even at elite organizations, AI assists only 54% of pull requests.
• Agents still need people. At the 90th percentile, autonomous agents open 4.7% of pull requests. At elite organizations, 79% of agent pull requests merge within 30 days, compared with 92% of human only pull requests. At fair organizations, agent yield drops to 37%. The likely reason is ownership. When no developer owns an agent’s pull request, it often never merges.
• AI code review is the fastest win. Pull requests with an AI review merge at the highest rate of any type and lift yield by up to five percentage points.
• AI costs are climbing fast at the top. Token spend at the 90th percentile reached $35.20 per developer per coding day, up nearly 75% in three months, while the median barely moved.

Engineering leaders already use LinearB to answer the questions their boards are asking about AI. “I use LinearB data and charts directly in my board decks, because my board is specifically asking questions about our use of AI and what our ROI is,” said Ken Ringdahl, CTO of Emburse.

Forward-looking vision
The effort skill is the first in a library of agent skills. Each one turns LinearB’s context into an action an agent or a leader can take. Next, LinearB will focus on helping teams merge and govern AI generated code safely, and on cutting what engineering organizations spend on AI. The goal is the one productivity platforms have always promised, helping teams deliver better software faster. LinearB now does it by giving people answers and giving agents the context to act.

Media images can be found here. 

About LinearB
LinearB is the developer productivity platform built on a foundational engineering context layer. It turns data from the tools teams already use into context for agents, developers and engineering leaders. Teams use it to find bottlenecks, prove what AI delivers and guide agents toward safer, cost-aware changes. Learn more at https://linearb.io/

CONTACT: For further information please contact Kiersten Gaffney at LinearB on kiersten@linearb.io

Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. TheTechOutlook.com takes no editorial responsibility for the same.

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Growing Demand for AI Marketing From Brands Across Asia Pacific

Singapore is the most active adopter of AI in Asia-Pacific and second in the world, with 61% of the population using AI tools, according to Stanford HAI’s 2026 AI Index. That usage is increasingly commercial. New Profound analysis of 1.8 million anonymised ChatGPT and Gemini conversations from users in Singapore found that the share of conversations where people are researching, comparing or buying products and services grew 23% between January and September 2026.

For brands across the region, this shift is making how they show up in AI answers a leadership-level priority. Profound’s AI Search insights and agentic workbench help marketing teams manage it, surfacing where their brand is winning or losing ground and deploying agents to close the gaps.

The Singapore headquarters will let Profound work more closely with these customers and meet growing demand across the region. The move follows Profound’s $180 million Series D in September, co-led by Sequoia Capital and Kleiner Perkins.

AI Marketing Transformation in Singapore

Profound will open its Singapore office in the Central Business District in Q4 2026. The company plans to hire more than 15 roles in Singapore over the next 12 months. These include a General Manager for Asia-Pacific, account executives, go-to-market associates, engagement managers and account managers. Members of Profound’s New York team will also relocate to Singapore for a year to help build the regional team and bring Profound’s ways of working to the new office.

James Cadwallader, Co-Founder and CEO said: “AI is the new front door to every business, and brands across Asia Pacific are moving fast to control how they show up. We’ve already seen that demand firsthand, with brands across the region coming to us before we had a single person on the ground. Singapore is the natural home for our next chapter. It’s where the region’s biggest brands make decisions, and it’s a country that takes AI seriously at the highest level.” 

Marketing in the Era of the Agentic Web in Asia Pacific

Ling Yuan Chun, Senior Vice President and Head of Global Ventures, Singapore Economic Development Board, commented: “Profound is an innovative technology company that is transforming the digital marketing industry. The establishment of its Asia Pacific headquarters here epitomises the confidence that global AI companies have in Singapore as a well-connected hub to support their growth ambitions in the region. Profound will create new job opportunities in Singapore including management, go-to-market and headquarter roles, thereby enhancing our rapidly growing AI ecosystem. We look forward to supporting Profound’s growth in Singapore.”

The announcement coincides with Zero Click Singapore, held on 29th October at Raffles Hotel. It is the first time Profound has brought its Zero Click conference to Asia-Pacific, following Zero Click Sydney on 27 October. Profound also hosted a recruiting event in Singapore on 30 October to support local hiring.

About Profound
Profound is the fastest growing AI marketing platform used by 16% of the Fortune 500 like The Estée Lauder Companies, Comcast, Walmart and U.S. Bank, and innovators like Zoom, Ramp, and MongoDB. It’s the workbench where marketers research, write, report, and collaborate with Profound’s AI Marketer to get their brand chosen by the Answer Engines consumers increasingly rely on. Built on 2B+ real user prompts and growing, Profound shows what people ask AI and what the models say back. Profound’s AI Marketer proactively pairs that data with your business context to surface opportunities, deploy Agents, and measure the impact to improve with every use. Learn more at tryprofound.com.

Media Contact

Layla Baradaran
Media@tryprofound.com

Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. TheTechOutlook.com takes no editorial responsibility for the same.

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Trifork Group AG
Company announcement no. 67/2026

Interim report for the quarter ending 30 September 2026

Trifork Group reports Q3 2026 organic revenue growth of 28% and adj. EBITDA growth of 40% driven by continued strong execution in Products and with public sector customers. The financial guidance for 2026 is narrowed within the original ranges.

Comment from Group CEO Jørn Larsen
“Q3 2026 was a strong quarter, driven by Products and solid execution with public sector customers. We completed the partial divestment of LabsX investment assets to Verdane, which led to an extraordinary dividend of DKK 3.00 per share, to be paid on 2 November.

Strategically, we continue our focus on product-led business. Products revenue grew organically by 96% in Q3, and by 25% excluding hardware revenues related to data centre contracts. Products contributed more than half of EBITDA over the last 12 months, up from around one-third one year ago. Products are mostly sold on long-term contracts at higher margins than the Group average, and the shift is visible in Group earnings: in the first nine months, EBIT increased by 73% and EPS by 200%.

The main driver of Products growth was once again our hosting and operations offering in our own data centres in Denmark. This business is expected to account for around a quarter of Group revenue for the full year and has more than doubled its revenue and earnings over the past two years. We see significant further growth potential, as the focus on European data sovereignty among public bodies and private enterprises continues to support demand. We expect this to continue for several years as European governments and companies increasingly signal that they intend to take full ownership of, and responsibility for, their digital infrastructure.

Public sector customers accounted for 56% of revenue in Q3, up from 50% in Q2. We continue to pursue responsible, value-creating AI implementations, secure and sovereign hosting and operations in our own data centres, and improved government efficiency. We look forward to sharing more at our Capital Markets Day on 11 December in Copenhagen.”

Third quarter 2026

• In Q3 2026, revenue amounted to EURm 61.0, an increase of 24% from Q3 2025. Organic growth was 28%. Adjusted for timing effects from hardware sales, organic revenue growth was 6%.
• Adjusted EBITDA amounted to EURm 10.4, corresponding to 17% adj. EBITDA margin (Q3 2025: 15%) and growth of 40%.
• EBIT amounted to EURm 5.8, corresponding to 9% EBIT margin (Q3 2025: 7%) and growth of 69%.
• EBT amounted to EURm 4.7 (Q3 2025: 2.5), an increase of 87%.
  • Segments
    
    • Products total revenue increased by 76% to EURm 27.7, positively affected by timing of hardware sales and negatively affected by the deconsolidation of Trifork Security in Q4 2025. Products organic revenue increased 96% and 25% if adjusted for hardware effects. The adjusted EBITDA margin was 23% (Q3 2025: 27%).
    • Services revenue declined by -1% to EURm 33.3 (all organic) and realized an adjusted EBITDA margin of 16% (Q3 2025: 14%).
    • In Q3 2026, minority investments recorded EBT of EURm -0.5 (Q3 2025: -0.5).

Financial guidance for 2026 is narrowed within the original ranges
As communicated in Company Announcement 66/2026, the financial guidance is narrowed within the original ranges provided on 27 February 2026:

• Revenue is expected in the range of EURm 235-240 equal to approximately 6-9% total growth (previous guidance: EURm 230-240 equal to 4-9% total growth).
• Organic revenue growth is expected in the range of approximately 9-11% (previous guidance: 7-11% organic growth).
• Adjusted EBITDA is expected in the range of EURm 35-37 equal to approximately 15-16% margin and 16-23% growth compared to 2025 (previous guidance: EURm 35-40 equal to approximately 15-17% margin and 16-33% growth compared to 2025). Depreciations, amortizations and impairments are still expected to be in the range of EURm 15-17.

The guidance does not include potential effects from new acquisitions or divestments.

Results presentation at 11:00 CET today
Trifork will host a results presentation and Q&A session with CEO Jørn Larsen, CFO Kristian Wulf-Andersen and COO Charmaine Carmichael today, 30 October 2026 at 11:00 CET in a live webcast that can be accessed via the following link: https://investor.trifork.com/events/. Please note the required passcode. A recording will be made available on Trifork’s investor website.

Results presentation in Danish at 12:30 CET today
HC Andersen Capital will host a results presentation and Q&A session in Danish with CEO Jørn Larsen today, 30 October 2026 at 12:30 CET in a live webcast that can be accessed via the following link: https://www.inderes.dk/videos/trifork-praesentation-af-q3-2026-samt-qanda. HC Andersen Capital receives payment from Trifork Group as a commissioned research and digital events provider to the public.

Investor and media contact
Frederik Svanholm, Group Investment Director, frsv@trifork.com, +41 79 357 7317

About Trifork Group
Trifork (Nasdaq Copenhagen: TRIFOR) is a global technology company specializing in designing, building, and operating advanced software for enterprise and public sector customers. With 1,122 FTEs across 16 countries, Trifork serves as an end-to-end technology partner to organizations in complex and regulated industries, including public administration, healthcare, financial services, energy, and aviation.

Learn more at trifork.com

Attachments

• Trifork_26Q3_Interim-report
• CA_67_Q326 report

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