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Digital.ai Releases Ascension AI-Powered DevOps Platform

Digital.ai released Ascension, its new AI-Powered DevOps Platform.

The new release—dubbed Ascension—empowers both private and public sector organizations to unify, secure and generate predictive insights across the software lifecycle, increasing business value with integrated software delivery, and driving down technical debt through enterprise connections.

The Ascension release further enables technology leaders to scale their distributed workforce and connect agile development at the portfolio, team and individual levels. The new features help ensure their business strategy is aligned to team-level execution while gaining increased visibility of the entire toolchain. Digital.ai is trusted by more than 1,500 organizations worldwide and across industries, including over 50% of the Fortune 500, to meet the challenges and opportunities of digital transformation.

“The last decade’s worth of well-funded, VC-backed software vendors has forever fragmented the way software is developed and delivered,” said Stephen Elop, CEO at Digital.ai. “Technology leaders today need a platform that offers the connective tissue to plan, measure and accelerate business value from software investments, while reducing costs, maintaining security, and managing compliance. With our latest release, Digital.ai’s platform solves problems organizations encounter by delivering connected tools that offer a wealth of insight across the full development and delivery lifecycle.”

The AI-Powered DevOps Platform provides innovative solutions that support the software development and delivery lifecycle, enabling technology teams to use individual solutions or the entire platform. Digital.ai solutions can be easily integrated into existing processes, applications, and infrastructure to propel innovation and bring greater visibility and insight across the entire software architecture and ecosystem.

Key new enhancements include:

■ Integrated DevOps Platform

- Embedded Mobile Application Security - Mobile app owners and developers can rapidly build and secure engaging mobile apps for iOS, Android, and other mobile operating systems with a single solution, offering organizations the assurance that all applications are protected from bad actors and threats.

- Scale and Integrate Application Testing - Autonomous testing focuses on low-code test automation with self-learning capabilities that navigate mobile applications and auto-generate sanity tests. Mobile Studio provides a new user experience in the cloud for better device interactions while testing, and Test Editor allows non-technical users to create, validate and manage test scripts.

■ Intelligent Software Delivery

- Increased Pipeline Visibility - Test and Deploy Analytic Lenses complete the 360° view for software delivery analysis. Test Lens brings pre-built metrics and best practice dashboards to mitigate software delivery bottlenecks and understand test volume coverage across devices and browsers. Deploy Lens provides telemetry and improves deployment efficiency by providing end-to-end visibility of deployments across apps and environments.

- Predictive Insights - The democratization of artificial intelligence (AI) across the Digital.ai platform continues with this release, including further enhancements to Change Risk Prediction to provide greater visibility, and better use of historic data to apply machine learning and make predictions.

■ Expanding DevOps Ecosystem

- App Store Experience - Integrations Marketplace offers customers one location to gain easier access to Digital.ai’s 100s of integrations for Agility, Release and Deploy products, as well as official partner and community plug-ins.

- Cloud-native Connectors - In addition to supporting traditional environments, as customers shift workflows to the cloud, release teams can now quickly set up, continuously deliver and promote code using Argo CD to orchestrate releases for Kubernetes. Customers using GitOps can leverage their infrastructure best practices.

- Enhanced End-to-End Integrations - Agility Sync offers customers a simple way to create their own integrations and/or extend existing integrations helping to reduce technical debt.

The Latest

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Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

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Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

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Digital.ai Releases Ascension AI-Powered DevOps Platform

Digital.ai released Ascension, its new AI-Powered DevOps Platform.

The new release—dubbed Ascension—empowers both private and public sector organizations to unify, secure and generate predictive insights across the software lifecycle, increasing business value with integrated software delivery, and driving down technical debt through enterprise connections.

The Ascension release further enables technology leaders to scale their distributed workforce and connect agile development at the portfolio, team and individual levels. The new features help ensure their business strategy is aligned to team-level execution while gaining increased visibility of the entire toolchain. Digital.ai is trusted by more than 1,500 organizations worldwide and across industries, including over 50% of the Fortune 500, to meet the challenges and opportunities of digital transformation.

“The last decade’s worth of well-funded, VC-backed software vendors has forever fragmented the way software is developed and delivered,” said Stephen Elop, CEO at Digital.ai. “Technology leaders today need a platform that offers the connective tissue to plan, measure and accelerate business value from software investments, while reducing costs, maintaining security, and managing compliance. With our latest release, Digital.ai’s platform solves problems organizations encounter by delivering connected tools that offer a wealth of insight across the full development and delivery lifecycle.”

The AI-Powered DevOps Platform provides innovative solutions that support the software development and delivery lifecycle, enabling technology teams to use individual solutions or the entire platform. Digital.ai solutions can be easily integrated into existing processes, applications, and infrastructure to propel innovation and bring greater visibility and insight across the entire software architecture and ecosystem.

Key new enhancements include:

■ Integrated DevOps Platform

- Embedded Mobile Application Security - Mobile app owners and developers can rapidly build and secure engaging mobile apps for iOS, Android, and other mobile operating systems with a single solution, offering organizations the assurance that all applications are protected from bad actors and threats.

- Scale and Integrate Application Testing - Autonomous testing focuses on low-code test automation with self-learning capabilities that navigate mobile applications and auto-generate sanity tests. Mobile Studio provides a new user experience in the cloud for better device interactions while testing, and Test Editor allows non-technical users to create, validate and manage test scripts.

■ Intelligent Software Delivery

- Increased Pipeline Visibility - Test and Deploy Analytic Lenses complete the 360° view for software delivery analysis. Test Lens brings pre-built metrics and best practice dashboards to mitigate software delivery bottlenecks and understand test volume coverage across devices and browsers. Deploy Lens provides telemetry and improves deployment efficiency by providing end-to-end visibility of deployments across apps and environments.

- Predictive Insights - The democratization of artificial intelligence (AI) across the Digital.ai platform continues with this release, including further enhancements to Change Risk Prediction to provide greater visibility, and better use of historic data to apply machine learning and make predictions.

■ Expanding DevOps Ecosystem

- App Store Experience - Integrations Marketplace offers customers one location to gain easier access to Digital.ai’s 100s of integrations for Agility, Release and Deploy products, as well as official partner and community plug-ins.

- Cloud-native Connectors - In addition to supporting traditional environments, as customers shift workflows to the cloud, release teams can now quickly set up, continuously deliver and promote code using Argo CD to orchestrate releases for Kubernetes. Customers using GitOps can leverage their infrastructure best practices.

- Enhanced End-to-End Integrations - Agility Sync offers customers a simple way to create their own integrations and/or extend existing integrations helping to reduce technical debt.

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...