OpenText
Internal AI triage of application security findings
OpenText reported a 70% reduction in mean security triage time after deploying Aviator internally
Problem
OpenText's security scans generated hundreds of thousands of findings that required manual review. The workload diverted engineering time from product delivery.
Approach
OpenText deployed its own Fortify Remediation Aviator to evaluate static security scan results before human review. The large language models added explanations and remediation guidance to findings. The internal rollout covered 1,500 applications in its first eight weeks.
Results
Takeaway
The reported improvement concerned triage time. It did not establish that deployed software contained fewer vulnerabilities.
Categories
- Size
- Large enterprise
- Industry
- Technology and telecom
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
OpenText described its internal generative AI security-review deployment. It reported a 70% reduction in mean triage time after onboarding 1,500 applications in eight weeks.
Full details are in the original sources.