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Fortra Introduces AI-Powered Guided Diagnostics for GoAnywhere MFT

🔄 Updated 2d ago
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Key points

  • Fortra's GoAnywhere MFT now includes Guided Diagnostics.
  • AI feature identifies common causes of file transfer failures.
  • Aims to save administrators up to 160 hours per year.
  • Analyzes logs and suggests ranked solutions for failed jobs.

New AI Feature for File Transfer Management

Fortra, a software provider for managed file transfer (MFT), has introduced Guided Diagnostics, an artificial intelligence feature integrated into its GoAnywhere MFT platform. This new tool is designed to assist administrators in troubleshooting failed file transfers, a common task in MFT operations.

Time Savings for Administrators

According to Fortra, Guided Diagnostics could save file transfer administrators up to 160 hours per year, which translates to approximately 3.1 hours per week. This time is typically spent investigating why file transfers, which underpin critical operations like payroll and bank settlements, have failed.

How Guided Diagnostics Works

When a file transfer job fails within GoAnywhere, Guided Diagnostics reads the failure logs. It then presents the administrator with a ranked list of potential causes to investigate. Common issues often involve connection problems or login failures with external trading partners, such as authentication errors, network issues, permissions problems, or missing files.

Addressing Common Failure Scenarios

An example provided illustrates a financial services company experiencing a failed daily settlement file transfer due to an authentication error. The investigation revealed the trading partner had rotated SSH keys without notification. Guided Diagnostics aims to reduce the investigation time for such issues, allowing administrators to focus on implementing the fix rather than diagnosing the problem.

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Reporting from

Fortra has released Guided Diagnostics, an AI feature within its GoAnywhere MFT platform, which the company claims can save file transfer administrators up to 160 hours annually by quickly identifying causes of failed transfers. This feature analyzes failure logs and provides a ranked list of potential issues, reducing the time spent on investigation.