aqua cloud rebuilds AI test platform with stronger coverage reporting

aqua cloud has launched aqua Intelligence, a rebuilt AI platform for QA teams that speeds test case generation, improves coverage reporting, and deepens Jira and Azure DevOps integrations. The release also adds password controls aimed at regulated industries that need tighter access management.

Why it matters: - QA teams often lose time to test design, coverage reporting, and tool synchronization during each sprint. - aqua cloud’s release targets those bottlenecks with faster AI generation, clearer reporting, and tighter integrations. - Regulated teams also get new password controls for compliance-focused environments.

What happened: - aqua cloud renamed aqua AI Copilot to aqua Intelligence and rebuilt the platform for better performance and reliability. - The company added smarter dashboards, deeper Jira and Azure DevOps integration, and administrator-controlled password policies. - The release is aimed at QA teams in regulated and fast-moving industries.

The details: - aqua Intelligence can generate test cases from requirements, short briefs, or voice prompts. - Users can create multiple test cases with techniques including equivalence partitioning, boundary value analysis, and decision tables. - The platform attaches relevant test data to generated cases. - aqua cloud says teams can try the approach through its free AI test case generator. - The rebuilt knowledge base now accepts PDF, DOCX, XLSX, Markdown, and TXT files up to 100 MB, up from 10 MB. - The knowledge base includes file search and live processing status so teams can see when an upload is ready. - Dashboards now report individual test case execution within test scenarios, not just scenario-level status. - A scenario with 20 cases and a scenario with five cases no longer count the same in completion figures. - Charts drill down to individual results and the scenario each case belongs to. - Existing dashboard setups keep working unchanged. - The Jira plugin for Cloud has moved to Atlassian Forge to improve security and stay aligned with Atlassian’s roadmap. - Test cases and test scenarios now appear with clearer statistics inside Jira. - Jira Data Center users can connect multiple aqua environments to specific Jira projects. - In Azure DevOps, custom rich text fields such as Repro Steps and Acceptance Criteria now sync bidirectionally by name match. - The sync removes manual duplication between the two systems. - For private cloud and on-premise deployments, administrators can set password expiration periods. - Administrators can also block reuse of recent passwords and lock accounts after repeated failed logins. - Technical and externally authenticated accounts can be exempted.

Between the lines: - The rebuild suggests aqua cloud is shifting from a feature add-on approach to a more central AI workflow layer for test management. - The updated reporting directly addresses a common leadership problem: scenario-level summaries can hide uneven test progress. - Moving Jira Cloud to Forge and expanding Azure DevOps sync points to a stronger push for enterprise trust and day-to-day workflow fit. - The password features reinforce that aqua cloud is aiming at buyers who need both automation and compliance controls.

What's next: - QA teams can adopt the rebuilt AI generator and updated dashboards in existing workflows. - Regulated organizations can evaluate the new password policies for private cloud and on-premise deployments. - Jira and Azure DevOps users can use the expanded integration features as they roll out the new release.

The bottom line: - aqua cloud is positioning aqua Intelligence as a faster AI test management platform with more precise reporting and stronger enterprise controls.