This month, Katalon delivers a blend of AI intelligence and enterprise readiness. From TestCloud’s flexible configurations and TestOps’ new AI-powered root cause analysis, these updates enable teams to debug smarter, share insights more widely, and maintain quality at scale.
What is it?
AI analyzes failed test results to diagnose root causes and surface actionable insights.
Why it matters
Cuts time spent sifting through logs; engineers jump straight to likely fixes.
What is it?
Secure external sharing for Reports and Dashboards via time-limited access tokens, a read-only external viewer, and email notifications for recipients with optional notes. Plus CSV export from any report.
Why it matters
Bring execs, clients, and cross-functional partners into the loop—no account required while enabling deeper offline/BI analysis.
What is it?
Define and adjust Quality Criteria (quality gates) directly from the Release Health dashboard for sprints and releases.
Why it matters
Puts governance where decisions happen—release readiness is transparent and enforceable.
What is it?
Separate controls for IP allowlisting and TestCloud Tunnel.
Why it matters
Choose the right security posture for your environment: static IP access, tunneled access, or both.
What is it?
New lifecycle states for AI-generated test cases: Draft (newly generated) and Published (reviewed/approved).
Why it matters
Makes governance explicit, teams can separate AI suggestions from endorsed, ready-to-run tests.
What is it?
Fine-grain environment targeting with RegEx-based OS/device selection. You can select multiple configurations for a single Test Suite.
Why it matters
Test exactly what users run in the wild, compose end-to-end scenarios, and scale coverage without flakiness.
Catch up on these recent highlights:
Katalon x QK Webinar: AI-Native Automation for Human and Agentic Interactions
Test Automation That Keeps Up With Your Business Applications’ Speed
For the full details, explore our release notes:
August’s updates make testing more intelligent, secure, and shareable. From AI-powered debugging to enterprise-grade sharing and consolidated reporting, teams gain speed and clarity across every stage of the QA cycle.