CAMPBELL, Calif. – January 14, 2026 – Arteris, Inc. (Nasdaq: AIP), a leading technology provider for accelerating semiconductor creation in the AI era, today announced it has closed its previously announced acquisition of Cycuity, Inc., a leading provider and domain expert of semiconductor cybersecurity assurance technology.
Semiconductor cybersecurity assurance is becoming critical to all types of chip designs, as the threat landscape has expanded to the hardware layer. Silicon vulnerabilities can result in compromised systems exposing unprotected information, a trend accelerated by the proliferation of AI and chiplets. Reported new Common Vulnerabilities and Exposures (CVEs) in hardware grew by over 15 times in the last five years, according to the US Department of Commerce’s National Institute of Standards and Technology (NIST). As such, there is a growing need for technology solutions that help to increase semiconductor security without risking SoC functionality, performance, and schedules.
By combining innovative system IP from Arteris with leading silicon hardware security assurance technology from Cycuity, the acquisition positions Arteris to address the growing concern around hardware security. The volume of sophisticated cyberattacks is increasing, targeting the vast amounts of unsecured data moving through semiconductors, from AI data centers to a wide range of edge devices. With this acquisition, Arteris broadens its commitment to deliver comprehensive products and solutions which help customers achieve secure on-chip data movement.
About Arteris
Arteris is a leading provider of semiconductor technology that accelerates the creation of high-performance, power-efficient silicon with built-in safety, reliability, and security. Innovative Arteris products are designed to optimize data movement and help ease complexity in the modern AI era with network-on-chip (NoC) interconnect intellectual property (IP), system-on-chip (SoC) software for integration automation and hardware security assurance. All are used by the world’s top technology companies to improve overall performance and engineering productivity, reduce risk, lower costs, and bring cutting-edge designs to market faster. Learn more at arteris.com.
Forward-Looking Statements
This news release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, as amended, including but not limited to statements regarding the acquisition positioning Arteris to address growing concerns around hardware security. Words such as “may,” “will,” “could,” “expect,” “approximately,” “believe,” “estimate,” “future,” “guidance,” “outlook,” and similar words or expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Forward-looking statements allow potential investors an opportunity to understand Company management’s beliefs and opinions regarding potential future outcomes, which may be used as a factor by potential investors in evaluating an investment. Although forward-looking statements are based upon what Company management believes may be reasonable future outcomes, there can be no assurance that forward-looking statements will prove to be accurate, as actual results and future events could differ materially from those anticipated in a forward-looking statement. Therefore, such statements are not guarantees. Arteris assumes no obligation to update any forward-looking statement in this release, except as required by law. These forward-looking statements are subject to known and unknown risks and uncertainties that may cause actual results to differ materially from the Company’s current expectations. Important factors that could cause actual results to differ materially from those anticipated in the Company’s forward-looking statements include, but are not limited to, the factors described under the heading “Risk Factors” in the Company’s Quarterly Report on Form 10-Q for the quarter ended September 30, 2025 filed with the Securities and Exchange Commission on November 4, 2025.
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Investor Contacts:
Arteris Inc.
Nick Hawkins
Sapphire Investor Relations, LLC
Erica Mannion and Michael Funari
+1 617 542 6180
IR@arteris.com
Media Contact:
Arteris Inc.
Gina Jacobs
+1 408 560 3044
newsroom@arteris.com
The pace of hardware growth is constantly accelerating, and with it an ever-growing list of hardware security requirements. As a leader in the hardware security space, we are obsessed with continuously delivering cutting-edge products for our customers to enable them to build trust at the chip level. With the recent surge in AI-driven development products, we recognize the value these tools provide when integrated properly into our engineering workflows and have, like many engineering organizations, adopted this into various parts of our day-to-day lives.
Our Approach
Integrating artificial intelligence into different facets of our development process requires careful planning and integration to avoid the pitfalls and tribulations that come from improper overuse (looking at you – “vibecoding”). We’ve seen an overwhelmingly positive net impact on our day-to-day effectiveness, with the team citing key benefits like simplifying tedious tasks and quicker feature implementation. Therefore, it was important for us to treat AI-assisted development as more of a virtual engineer rather than an autonomous contributor.
What this means for us is treating AI as yet another tool in our toolbelt, using it primarily for feedback on design, implementation, and debug—the long-pole steps in our development process—which can succumb to human error. The success of this disciplined approach is clearly reflected in the key findings from our recent engineering team poll, which provide insight into how AI is enhancing our daily workflow:
Key Findings from Our Engineering Team
Paired Programming Reinvented
However, even with these minor drawbacks, the benefits are clear, particularly when AI acts as an instant collaborator, reinventing the traditional paired programming model. Traditionally, companies adopted a “pair programming” working model, which required the time investment of two engineers for bounded ranges of time to reduce risk and improve code quality. While costs versus benefits for this practice are still hotly debated, the use of AI in our development workflow essentially gives us the benefits pair programming provides, with seamless instant integration and without the need to have multiple engineers working on a single issue. Integrated tab completion fixes small errors, reducing the time spent debugging both in compile and potentially in the field, while chat panels and coding agents make bouncing and implementing ideas more of a conversational interacting than rudimentary work.
Improving Code Quality
The most high-risk portions of the development process, from coding to review and deployment, usually suffer from human error. Developers have all had a time where a small typo, using the wrong variable, or forgetting to set a configuration results in hours of rework or worse, a critical bug at deployment. To help reduce this human error, we added AI to our Pull Request process to provide another set of eyes on code being introduced to our main git branches. While IDEs, static code checkers, and various CI/CD tools have helped to mitigate this, adding AI into our CI/CD workflow at the pull request stage has caught implementation issues, design considerations, and potential bugs that other tools have more difficulty finding. In fact, our engineering team’s poll revealed that using AI has made code correctness and bug frequency “Better,” validating this approach to reducing human error.
For example, the context awareness of AI-integrated pull requests has caught issues and flagged considerations ranging from language-specific string handling, feedback on patterns from widely used languages like SQL, and flagging expression evaluation issues which may lead to unintended behavior. Many of these are typically not flagged by the tools we use today simply because finding these types of issues requires contextual rather than purely structural knowledge – something AI is now providing.
Closing the Debug Loop
Every software company faces this issue: bugs. They happen, and when they occur the time to recover can be crucial for the customer and the vendor. For vendors like us who work with companies producing hardware, access can be a sometimes insurmountable hurdle, which causes delay for the customer receiving a fix.
AI-assisted development has given us the ability to better understand and triage problems as they come in- both faster and with more contextual understanding. For example, given a bug scenario, an engineer can easily transform the scenario into a prompt description, add context of the software systems which may be involved, and have AI develop a debug plan or, in many instances, isolate the problematic areas for you.
In a recent instance, AI-driven development allowed us to debug a corner-case issue experienced in the field with no access to an environment or design. Based on pure symptom description, we were able to identify and patch the issue in minutes. Specifically, this bug was dormant in a piece of code which had existed for so long it was practically legacy, and the issue was so benign it evaded human eyes as well as our CI/CD code checks. In a traditional workflow, maybe one or two years ago, this would have been a game of telephone lasting hours or days, with an unbounded amount of time to issue a patch at great cost. However, with AI assisted workflows, triaging and diagnosing issues is becoming an easier task, closing the gap between issue discovery and resolution.
Conclusion
AI is providing our engineers with new ways to amplify their potential. By treating AI as a disciplined collaborator, one that excels at context, pattern recognition, and rapid feedback, we’ve reduced risk, improved code quality, and tightened the debug loop without sacrificing rigor. The result is faster, more reliable delivery of hardware security tools our customers can trust, and a development process that keeps pace with the speed of modern hardware.
