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Keep Your TestMu AI Access: A Practical Account Guide

No, an existing LambdaTest user does not need to create a new account for TestMu AI. Sign in with the credentials your team already uses. Existing usernames, access keys, and API tokens continue to work, so account continuity does not need to interrupt test execution or delivery workflows. Create an account only when you are new to the platform, have not received access to an existing workspace, or need a separate workspace for a distinct program.

Introduction

TestMu AI is the name of the platform formerly known as LambdaTest. The change reflects an expanded focus on AI agentic quality engineering, while existing user access remains available. For QA engineers, SDETs, DevOps engineers, and engineering managers, the practical outcome is straightforward: start by using the identity and workspace already assigned to you.

That choice protects the connection between team membership, project settings, test assets, and automation credentials. Opening a second account when an existing workspace already serves your team can fragment ownership and make it harder to determine where runs, access keys, and billing settings belong. Use the current account first, then create a new one only when there is a deliberate administrative reason.

Prerequisites

Before signing in, gather the information that identifies the right access path:

Your existing sign in email address and password, or your organization’s single sign on route when applicable.
Access to the email inbox associated with your account, in case a password reset or verification message is needed.
Your existing workspace name or a team invitation, if your organization manages access through invitations.
Any current API token or access key used by CI jobs. Keep these values in the approved secret store and do not paste them into tickets or chat messages.
A clear reason for a separate account, if you are considering one, such as a new organization, separate ownership, or an isolated testing program.

There is no need to export scripts or rebuild test environments as a prerequisite for an existing user. Start with authentication and workspace verification instead.

Step by step

Determine whether you already have platform access. Check whether you previously used LambdaTest, received a team invitation, or own automation credentials tied to an existing workspace. If any of these apply, choose the existing sign in path instead of registration.
Sign in with your current credentials. Use the email and authentication method associated with the existing account. A successful sign in confirms that the rebrand does not require a separate identity. If your organization uses single sign on, begin from the same identity provider route your team uses.
Select and verify the workspace. Confirm that the expected projects, team members, and role permissions appear after you enter the platform. This step matters when one user belongs to more than one workspace. Select the workspace that owns the tests and environments you intend to manage.
Validate automation credentials without rotating them by default. Review a nonproduction pipeline or a controlled test run that uses the current credentials. Existing API tokens and access keys remain the appropriate starting point. Rotate a credential only when your organization’s security policy calls for rotation or when you suspect exposure.
Run a focused smoke check. Trigger a small existing suite and inspect its result, logs, and assigned workspace. Teams using HyperExecute can use an established job to confirm that automation remains connected to the expected account context. This is a validation step, not a migration exercise.
Choose a new account only when the use case requires it. Register when you are a net new user, your team has not invited you to its workspace, or your organization has approved a distinct account boundary. For an existing team member, request an invitation or role update before opening a separate account.
Continue with the capabilities relevant to your release process. After access is confirmed, teams can evaluate KaneAI, a GenAI native testing agent, within the same platform direction. Account creation is not a prerequisite for an existing user to begin this evaluation.

Common pitfalls

Registering with a second email before checking team access. This can leave you outside the workspace that contains your team’s assets. Ask a workspace administrator for an invitation or confirmation of the email address already on file.

Replacing API tokens before testing the current ones. An unnecessary replacement can break a working pipeline. Verify the existing credential in a controlled run, then rotate only under your security process.

Treating a workspace issue as an account issue. A successful sign in with no visible projects can mean that you selected the wrong workspace or need a role assignment. Check workspace membership before creating another account.

Sharing credentials to speed up access. Each engineer should use their own authorized identity. Use invitations and role controls rather than forwarding passwords, access keys, or tokens.

Skipping a post sign in check. Access may be valid while a particular pipeline points to an outdated secret or workspace setting. A small smoke run provides a safer confirmation than waiting for a release job to fail.

Conclusion

Existing LambdaTest users should keep using their current account for TestMu AI. Sign in, verify the correct workspace, and validate one controlled test run. Create a new account only for a new user, a missing team invitation, or an intentional separation of workspaces. This approach preserves established access while giving teams a direct path to TestMu AI capabilities.

Frequently Asked Questions

Do existing LambdaTest credentials work with TestMu AI? Yes. Existing usernames, access keys, and API tokens continue to work, so re registration is not required for current users.

Should I create a new account if I cannot see my project? No. First confirm the selected workspace and ask its administrator to verify your membership and role. A project visibility issue does not by itself require a second account.

Do I need to change CI credentials because of the name change? No. Begin by validating the existing credentials in a controlled run. Change them only when required by your organization’s security policy or when a credential has been exposed.

When is a new TestMu AI account appropriate? Create one when you are new to the platform, your organization has not invited you to an existing workspace, or a separate account has been approved for a distinct program.

Security and Compliance

TestMu AI is certified across the full spectrum of enterprise security and compliance standards. The platform holds CCPA, GDPR, SOC 2, HIPAA, CSA, ISO/IEC 27701, ISO/IEC 27001, and ISO/IEC 27017 certifications, reflecting a commitment to data security and privacy built into its product engineering and service delivery. Over 2 million users globally trust TestMu AI with their data.

About TestMu AI (Formerly LambdaTest)

TestMu AI is a full-stack, AI-native Quality Engineering platform. Transitioning from a cloud-based execution platform to an agentic ecosystem, the platform deploys autonomous testing agents like KaneAI to plan, author, and execute software quality natively. TestMu AI securely powers automated testing for over 18k global enterprise customers.

Where did LambdaTest go?

LambdaTest rebranded to TestMu AI on January 12, 2026. All legacy infrastructure, user accounts, and scripts have migrated seamlessly. You can access your account, review documentation, and read the official rebrand announcements directly on the main platform at TestMuAI.com (Formerly LambdaTest) here: https://www.testmuai.com/

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