Check Point® Software Technologies Ltd. released the AI Factory Security Architecture Blueprint — a comprehensive, vendor-tested reference architecture for securing private AI infrastructure from the hardware layer to the application layer.
As part of DEVOPSdigest's annual list of DevOps predictions, DevOps experts offer predictions on how low code/no code technologies will evolve in 2025.
LOW-CODE/NO-CODE ON THE RISE
No-code/low-code development platforms are on the rise thanks to citizen developers and the availability of learning resources. AI can positively impact this domain by making it easier for non-technical users to create applications through visual interfaces and drag-and-drop functionalities. Ultimately, we will see a democratization in development, empowering more people to bring their ideas to life.
Dotan Nahum
Head of Developer-First Security, Check Point Software Technologies
Dev teams will look to more mature low-code and no-code technologies to outmaneuver competitors in bringing new application features to market and harnessing emerging technologies that are otherwise technically difficult and cost-prohibitive to deploy. In 2025, these tools will do a better job at compartmentalizing complex, specialized functionality (leveraging AI, big data, the IoT, and many more technologies that would otherwise require dedicated experts) into modules that can be easily assembled into full applications. Those applications can also be easily tweaked to iterate upon and optimize solutions. In 2025, an increasing number of dev teams across nearly every industry will tap low code and no code to dramatically accelerate application delivery, drive innovation and improve the quality of user experiences.
Shomron Jacob
Head of Applied Machine Learning & Platform, Iterate.ai
Enterprise low-code adoption will accelerate as platforms mature to handle complex business logic and integration requirements. Organizations will develop and deploy mission-critical applications using visual development tools that generate production-grade code, significantly reducing development time and costs while maintaining application quality and scalability.
Tristan Stahnke
Principal Application Security Consultant, GuidePoint Security
Low-Code Will Lower Barriers, Unlock Potential: We are on the verge of a transformative shift in app development, where opportunities will increase for developers of all skill levels. The prevalence of low-code platforms will empower not only seasoned professionals but also enable a growing wave of non-technical users to meaningfully contribute to projects. By leveraging intuitive drag-and-drop interfaces instead of traditional coding, these platforms will democratize the development process. Low code software dramatically lowers the barrier to entry, enabling even those with minimal technical experience to create sophisticated applications, accelerating innovation and unlocking the full potential of diverse talent across organizations.
JJ McGuigan
Product Manager for Developer Tools and App Builder, Infragistics
GENAI-POWERED NO-CODE
As generative AI matures within the development landscape, we'll inevitably see organizations move toward no-code. Generative AI powered no-code is a development method for people who have no coding skills at all (or if their project doesn't require it). Beyond simply providing shortcuts, no-code uses declarative programming to create applications based on what the user wants. Essentially, this means that no-code development lets users avoid coding completely, telling the system what you need, and then allowing the system to translate natural language into a production-ready application.
Jithin Bhasker
GM & VP for the App Engine Business , ServiceNow
AI DRIVES NO-CODE, LOW-CODE AND PRO-CODE CONVERGENCE
No-code, low-code and pro-code will soon collapse into a single AI-generated application space where the human effort will shift away from application construction to focus on how best to describe the applications that companies want.
Jason Bloomberg
President, Intellyx
LOW-CODE/NO-CODE IDENTITY CRISIS
Low-Code/No-Code tools might have an identity crisis: Features like Claude's Artifacts and ChatGPT's Canvas are bringing programming features directly to end-users who may not be familiar with code. As Generative AI is unlocking both traditional SaaS to become more customizable and traditional developer products to become more approachable for citizen developers, makers of low code tools that historically bridged these gaps might find themselves in an identity crisis, debating whether they want to turn more towards being a developer tool or traditional SaaS.
Dominik Kundel
Senior Manager Product Management — Emerging Tech & Innovation, Twilio
LOW-CODE TOOLS WITH COPILOTS
Within the next year, copilots will become ubiquitous in low code, which will require greater guardrails in the development process. Low-code tools with embedded copilots have a lower tolerance for accuracy. In contrast to traditional coding, developers are unable to fix inaccuracies manually and any mistakes in output will lead to front-end errors. As a result, there will be increased importance placed on setting guardrails and refining data management processes. The role of the developer will shift from coding to managing its AI workforce. Instead of utilizing their traditional coding expertise, developers responsibilities will transition to overseeing citizen developers and AI-driven development, ensuring a smooth and error-free process.
Ed Macosky
CPTO, Boomi
CODE-FIRST
No-code tools are shifting to a code approach, thanks to AI: By 2025, no-code tools will increasingly integrate code-first capabilities, blending simplicity with flexibility. This shift empowers teams to start with intuitive interfaces while retaining the depth and scalability of code, bridging the gap between non-technical and technical users.
Emmanuel Darras
CEO and Co-Founder, Kestra
LOW-CODE/NO-CODE SDK
Accelerating digital transformation through SDKs: SDKs will play a vital role in the low-code space, enabling developers to integrate ready-made components that accelerate development and customization. This shift allows teams to quickly adapt to changing business needs, bringing products to market faster while focusing on impactful solutions instead of infrastructure complexities.
Hadi Chami
Director of Solution Engineering, LEADTOOLS by Apryse
STREAMLINING COMPLIANCE
Low Code Tools Will Streamline Compliance: Industries such as healthcare and finance, where compliance with strict regulatory standards is critical, often face extended development timelines due to the rigorous testing required. However, the growing adoption of low code tools is poised to revolutionize the time needed to adhere to these standards. Low code platforms not only accelerate app development but also ensure that applications are built in alignment with legal and regulatory requirements. By integrating industry best practices into the development process, low code solutions will streamline compliance, enabling faster delivery of secure, compliant apps without sacrificing quality or oversight.
JJ McGuigan
Product Manager for Developer Tools and App Builder, Infragistics
GROWTH OF SHADOW IT
AI development combined with low-code apps will make it easier than ever for citizen developers to build enterprise-grade applications. However, with this is the potential that shadow IT will grow, presenting new problems.
Rupert Colbourne
CTO, Orbus Software
Industry News
CMD+CTRL Security won the following awards from Cyber Defense Magazine (CDM), the industry’s leading electronic information security magazine: Most Innovative Cybersecurity Training and Pioneering Secure Coding: Developer Upskilling.
Check Point® Software Technologies Ltd. announced the Check Point AI Defense Plane, a unified AI security control plane designed to help enterprises govern how AI is connected, deployed, and operated across the business.
Oracle announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced that Istio has launched a host of new features designed to meet the rising needs of modern, AI-driven infrastructure while reducing operational complexity.
Chainguard announced Chainguard Repository, a single Chainguard-managed experience for pulling secure-by-default open source containers, dependencies, OS packages, virtual machine images, CI/CD workflows, and agent skills that have built-in, intelligent policies to enforce enterprise security standards.
Backslash Security announced new cross-product support for agentic AI Skills within its platform, enabling organizations to discover, assess, and apply security guardrails to Skills used across AI-native software development environments.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the graduation of Kyverno, a Kubernetes-native policy engine that enables organizations to define, manage and enforce policy-as-code across cloud native environments.
Zero Networks announced the Kubernetes Access Matrix, a real time visual map that exposes every allowed and denied rule inside Kubernetes clusters.
Apiiro announced AI Threat Modeling, a new capability within Apiiro Guardian Agent that automatically generates architecture-aware threat models to identify security and compliance risks before code exists.
GitLab released GitLab 18.10, making it easier and more affordable to use agentic AI capabilities across the entire software development lifecycle.
Google announced a brand new vibe coding experience in Google AI Studio, which removes the guardrails for who can build software applications so that anyone can turn an idea into a real, functioning app.
Wipro and Harness announced a strategic collaboration to help global enterprises accelerate AI-native software delivery with greater speed, reliability, and governance.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced $12.5 million in total grants from Anthropic, AWS, GitHub, Google, Google DeepMind, Microsoft, and OpenAI to strengthen the security of the open source software ecosystem.
env zero and CloudQuery announced the successful close of their merger.





