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Remediating Vulnerabilities With LLMs: Inside Ivanti's Automation Push
July 20, 2026 · Dark Reading · Severity: MEDIUM
Ivanti's CSO reports that frontier LLMs show surprising effectiveness at generating security patches for identified vulnerabilities, potentially transforming vulnerability remediation from a bottleneck into an automated process. The models can analyze vulnerable code, understand the nature of the flaw, and produce syntactically correct patches that address the root cause without introducing regressions. While human review remains necessary for validation, the ability to generate candidate patches at machine speed could dramatically reduce mean time to remediation for organizations struggling with vulnerability backlogs.
Key Takeaways
- Frontier LLMs demonstrate surprising effectiveness at autonomously generating security patches for vulnerabilities.
- The models analyze vulnerable code, understand the flaw, and produce syntactically correct fixes.
- Automated patch generation could dramatically reduce mean time to remediation for vulnerability backlogs.