GitLab announced the general availability of GitLab Duo with Amazon Q.
Digital.ai unveiled advancements in AI capabilities across its solutions that provide customers with enhanced software delivery capabilities and insights for better decision making.
Digital.ai’s AI-Powered DevSecOps Platform reflects enterprise demand to use AI to improve decision making, help govern and orchestrate the release of software created and optimized by generative AI tools, and automate software delivery workflows further with AI.
Digital.ai has enhanced each of its Predictive Intelligence solutions to help alleviate static information and lack of insights across the software delivery lifecycle to help predict risk, remove software delivery bottlenecks, and speed up CI/CD pipelines. Enhanced AI-powered intelligence capabilities include:
- Flow Acceleration to accelerate DevOps workflows and predict cycle times.
- Quality Improvement to prevent defect leakage through early detection and assess code quality effectiveness.
- Change Risk Prediction to identify risky changes, reduce change failures, and allow teams to identify and manage risk before production.
- Service Management Process Optimization to anticipate future service risks, mitigating risks of major incidents.
“Digital.ai has a rich history of leading AI/ML in software delivery, for more than a decade we have been working with enterprise customers around this topic. We were born from a founding principle to help customers better understand the end-to-end business process of software development and delivery by breaking down data silos and applying analytics, machine learning and artificial intelligence across end-to-end software delivery processes,” said Wing To, General Manager of Intelligent DevOps at Digital.ai. “These new advancements in Digital.ai’s Predictive Intelligence solutions continue to redefine how enterprise teams use the power of AI to boost intelligence to identify bottlenecks, analyze delivery trends and uncover risks.”
While the potential of AI tools like large learning models and code-assist in the software development domain has shown impressive coding productivity enhancements, compliance, security, legal and quality issues remain. Building on a rich history in enabling large enterprises to orchestrate releases across complex DevSecOps delivery practices and infrastructures, Digital.ai helps enterprises manage governance, risk and compliance of code being created or optimized via AI in core areas, including:
- Govern Releases and Mitigate Exposure by automating and confirming scans to understand 3rd party IP, security and quality concerns.
- Identify Higher Risk Code Changes with automatic scoring methods that identify and rank code changes with a higher risk.
- Empower Developers with Self Service and Best Practices through workflow templates built from Industry standards.
- Establish Policies and Regulatory Controls to ensure releases address security vulnerabilities and improve performance.
To harness productivity gains from the rapid adoption of AI-assisted software development, Digital.ai is utilizing the power of AI to automate and accelerate software delivery workflows with the upcoming features: Test Creation to simplify editing and creating test cases based on updated or new feature requirements; User Story Generation to automatically turn product descriptions in requirements and user stories; Knowledge Assistance to identify useful information in planning and DevOps repositories, and Threat Insight to inform security experts on recommended changes to protected apps by analyzing historical trends.
“There is little doubt that this next wave of AI has and will continue to change how teams plan, build, test, secure, deliver and monitor software. At Digital.ai, we have been building up for this moment for over a decade,” said Derek Holt, CEO of Digital.ai. “Our DevSecOps Platform has a proven track record in helping the world’s largest enterprise organizations to responsibly leverage AI to deliver software and automate delivery workflows. Today’s announcement regarding the evolution of our market-leading portfolio marks a major milestone in allowing the world’s largest enterprises to leverage AI safely and responsibly.”
The latest improvements to Predictive Intelligence solutions on Digital.ai’s AI-Powered DevSecOps Platform are generally available today.
Industry News
Perforce Software and Liquibase announced a strategic partnership to enhance secure and compliant database change management for DevOps teams.
Spacelift announced the launch of Saturnhead AI — an enterprise-grade AI assistant that slashes DevOps troubleshooting time by transforming complex infrastructure logs into clear, actionable explanations.
CodeSecure and FOSSA announced a strategic partnership and native product integration that enables organizations to eliminate security blindspots associated with both third party and open source code.
Bauplan, a Python-first serverless data platform that transforms complex infrastructure processes into a few lines of code over data lakes, announced its launch with $7.5 million in seed funding.
Perforce Software announced the launch of the Kafka Service Bundle, a new offering that provides enterprises with managed open source Apache Kafka at a fraction of the cost of traditional managed providers.
LambdaTest announced the launch of the HyperExecute MCP Server, an enhancement to its AI-native test orchestration platform, HyperExecute.
Cloudflare announced Workers VPC and Workers VPC Private Link, new solutions that enable developers to build secure, global cross-cloud applications on Cloudflare Workers.
Nutrient announced a significant expansion of its cloud-based services, as well as a series of updates to its SDK products, aimed at enhancing the developer experience by allowing developers to build, scale, and innovate with less friction.
Check Point® Software Technologies Ltd.(link is external) announced that its Infinity Platform has been named the top-ranked AI-powered cyber security platform in the 2025 Miercom Assessment.
Orca Security announced the Orca Bitbucket App, a cloud-native seamless integration for scanning Bitbucket Repositories.
The Live API for Gemini models is now in Preview, enabling developers to start building and testing more robust, scalable applications with significantly higher rate limits.
Backslash Security(link is external) announced significant adoption of the Backslash App Graph, the industry’s first dynamic digital twin for application code.
SmartBear launched API Hub for Test, a new capability within the company’s API Hub, powered by Swagger.
Akamai Technologies introduced App & API Protector Hybrid.