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OpenText Introduces AI-Powered Code Security Innovation to Empower DevSecOps Teams


OpenText is launching a solution to speed the triage and remediation of vulnerabilities throughout the stages of code development—dubbed OpenText Fortify Aviator.

The platform is an AI-powered code security solution that saves developers significant time by enabling faster and easier auditing and remediation of static application security testing (SAST) vulnerabilities—all within a single solution. Fortify Aviator empowers teams to release secure software faster and with greater confidence, according to OpenText.

Fortify Aviator takes auditing and remediation to the next level by more accurately identifying true vulnerabilities, explaining why an issue is a true vulnerability or a false positive, and providing fully contextualized remediations (i.e., blocks of code) that enable developers to quickly fix code issues. Developers remain fully engaged with control over their code while reducing risk at a pace not previously attainable, the company said.

“Over the past decade, we’ve meticulously honed our use of AI in the DevSecOps market. In doing so, we’ve created innovative solutions that empower developers to filter through the noise to find hidden issues and strengthen code security,” said Muhi Majzoub, chief product officer and EVP at OpenText. “Our latest breakthrough, Fortify Aviator, transforms how developers approach application security. Beyond merely identifying vulnerabilities, we provide contextualized fix suggestions. The result? A personal AI security champion available for every developer.”

Fortify Aviator combines the latest generation large language models (LLM) with twenty years of SAST market leadership to deliver a unique combination that provides the best of both worlds, enabling deep, accurate scans and remediation significantly faster.

Fortify Aviator is available to Fortify on Demand public cloud users, in some regions AWS availability limitations may apply.

For more information about this news, visit www.opentext.com.


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