Remediating Vulnerabilities With LLMs: Inside Ivanti's Automation Push

Ivanti's chief security officer, Daniel Spicer, has found that large language models can be effective in remediating vulnerabilities, at least in initial stages. However, the costs associated with using these models and the need for human oversight are still uncertain. The viability of having humans involved in the process alongside the models is also an open question. Ivanti is exploring the use of automation in vulnerability remediation. The company is investigating the potential of frontier models in this area.