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Secure AI development with OpenText: Protecting GenAI-enabled applications at scale

Blog: OpenText Blogs

This is an image of a developer building Gen-Ai applications securely with OpenText Application Security

Generative AI is transforming how software is built—but it also opens up a new wave of risk. As organizations race to integrate GenAI into their development pipelines, securing AI-generated code and GenAI-powered applications is no longer optional—it’s essential. OpenText’s application security solutions are purpose-built to meet this challenge.

Built for GenAI-enabled development

OpenText Application Security for GenAI empowers security, development, and AI/ML teams to:

  • Secure AI-generated code with advanced vulnerability detection.
  • Protect GenAI-powered applications from new and emerging threats.
  • Automate remediation to reduce the manual burden on developers.

This solution seamlessly integrates into modern SDLC environments, making it easier to scale secure coding practices without disrupting productivity.

Key capabilities:

  • Static Application Security Testing (SAST) for AI-generated code, including specialized support for Python frameworks like AutoGen.
  • Dynamic Testing (DAST) to identify runtime issues in GenAI-infused applications.
  • AI-Powered Triage with OpenText AppSec Aviator, leveraging large language models (LLMs) like Claude to reduce false positives and auto-generate fix recommendations.
  • Secure Code Warrior integration to educate and empower developers with contextual training.
  • Application Security Posture Management (ASPM) for enterprise-wide visibility and control.
  • Software Composition Analysis (SCA) with intelligence around open-source and AI-assisted package choices.

Why secure AI development matters

The velocity of GenAI-generated code is outpacing traditional security review models. OpenText solves this by:

  • Using AI to secure AI—combining machine learning with expert-driven models for accurate analysis.
  • Delivering developer-centric workflows that fit naturally into CI/CD pipelines and IDEs.
  • Supporting cloud-native and hybrid environments, ensuring broad applicability across enterprise architectures.

Outcomes you can expect with secure AI development by OpenText:

  • Faster delivery of secure AI-powered apps
  • Reduced time spent on false positives
  • Continuous compliance and risk reduction
  • Improved collaboration between AppSec and dev teams

Ready to build securely with GenAI?

Explore how OpenText’s GenAI-secure development platform can future-proof your application security program—while keeping your teams moving fast.

The post Secure AI development with OpenText: Protecting GenAI-enabled applications at scale appeared first on OpenText Blogs.